Journal Articles (196)

2024 (14):

1. Mahmud S, Chowdhury ME, Kiranyaz S, Tapotee MI, Saha P, Tahir AM, Khandakar A, Alqahtani A. Wearable wrist to finger photoplethysmogram translation through restoration using super operational neural networks based 1D-CycleGAN for enhancing cardiovascular monitoring. Expert Systems with Applications. 2024 Jul 15;246:123167.

2. Bushra, F., Chowdhury, M.E., Sarmun, R., Kabir, S., Said, M., Zoghoul, S.B., Mushtak, A., Al-Hashimi, I., Alqahtani, A. and Hasan, A., 2024. Deep learning in computed tomography pulmonary angiography imaging: A dual-pronged approach for pulmonary embolism detection. Expert Systems with Applications, 245, p.123029.

3. Saha P, Kunju AK, Majid ME, Kashem SB, Nashbat M, Ashraf A, Hasan M, Khandakar A, Hossain MS, Alqahtani A, Chowdhury ME. Novel multimodal emotion detection method using Electroencephalogram and Electrocardiogram signals. Biomedical Signal Processing and Control. 2024 Jun 1;92:106002.

4. Tapotee MI, Saha P, Mahmud S, Alqahtani A, Chowdhury ME. M2ECG: Wearable Mechanocardiograms to Electrocardiogram Estimation using Deep Learning. IEEE Access. 2024 Jan 12.

5. Kabir, S., Vranic, S., Al Saady, R.M., Khan, M.S., Sarmun, R., Alqahtani, A., Abbas, T.O. and Chowdhury, M.E., 2024. The utility of a deep learning-based approach in Her-2/neu assessment in breast cancer. Expert Systems with Applications, 238, p.122051.

6. Soliman, M.M., Islam, M.T., Alam, T., Misran, N., Chowdhury, M.E., Alshammari, A.S. and Soliman, M.S., 2024. Wideband Close Perfect Meta Surface Absorber for Solar Photovoltaic and Optical Spectrum Applications. Surfaces and Interfaces, p.103849.

7. Hossen, M.M., Ashraf, A., Hasan, M., Majid, M.E., Nashbat, M., Kashem, S.B.A., Kunju, A.K.A., Khandakar, A., Mahmud, S. and Chowdhury, M.E., 2024. GCDN-Net: Garbage classifier deep neural network for recyclable urban waste management. Waste Management, 174, pp.439-450.

8. Basak P, Sakib AN, Chowdhury ME, Al-Emadi N, Yalcin HC, Pedersen S, Mahmud S, Kiranyaz S, Al-Maadeed S. A novel deep learning technique for morphology preserved fetal ECG extraction from mother ECG using 1D-CycleGAN. Expert Systems with Applications. 2024 Jan 1;235:121196.

9. Ng CL, Reaz MB, Crespo ML, Cicuttin A, Shapiai MI, Ali SH, Chowdhury ME. A Versatile and Wireless Multichannel Capacitive EMG Measurement System for Digital Healthcare. IEEE Internet of Things Journal. 2024 Feb 28.

10. Latifoğlu F, Penekli S, Orhanbulucu F, Chowdhury ME. A novel approach for Parkinson’s disease detection using Vold-Kalman order filtering and machine learning algorithms. Neural Computing and Applications. 2024 Feb 27:1-5.

11. Chowdhury MH, Chowdhury ME, Alqahtani A. MMG-net: Multi modal approach to estimate blood glucose using multi-stream and cross modality attention. Biomedical Signal Processing and Control. 2024 Jun 1;92:105975.

12. Chowdhury, M.H., Chowdhury, M.E., Reaz, M.B.I., Ali, S.H.M., Rakhtala, S.M., Murugappan, M., Mahmud, S., Shuzan, N.I., Bakar, A.A.A., Shapiai, M.I.B. and Khan, M.S., 2024. LGI-rPPG-Net: A shallow encoder-decoder model for rPPG signal estimation from facial video streams. Biomedical Signal Processing and Control, 89, p.105687.

13. Mahmud, S., Chowdhury, M.E., Kiranyaz, S., Al Emadi, N., Tahir, A.M., Hossain, M.S., Khandakar, A. and Al-Maadeed, S., 2024. Restoration of motion-corrupted EEG signals using attention-guided operational CycleGAN. Engineering Applications of Artificial Intelligence, 128, p.107514.

14. Rahman T, Khandakar A, Rahman A, Zughaier SM, Al Maslamani M, Chowdhury MH, Tahir AM, Hossain MS, Chowdhury ME. TB-CXRNet: Tuberculosis and Drug-Resistant Tuberculosis Detection Technique Using Chest X-ray Images. Cognitive Computation. 2024 Feb 17:1-20.

2023 (54):

15. Sarraf, M., Musharavati, F., Jaber, F., Bushroa, A.R., Zalnezhad, E., Nasor, M., Bae, S., Chowdhury, M. and Dabbagh, A., 2023. Anodization and nonstructural surface characterizations of fabricated Ti–29Nb–13Ta–7.1 Zr alloy for biomedical applications and its mechanical, wettability, tribological, and corrosion properties. Materials Chemistry and Physics, p.128825.

16. Ahmad, M., Zhang, L., Ng, K.T.W. and Chowdhury, M.E., 2023. Complex-Exponential-Based Bio-Inspired Neuron Model Implementation in FPGA Using Xilinx System Generator and Vivado Design Suite. Biomimetics, 8(8), p.621.

17. Podder, K.K., Khan, L.E., Chakma, J., Chowdhury, M.E., Dutta, P., Salam, K.M.A., Khandakar, A., Ayari, M.A., Bhawmick, B.K., Islam, S.A. and Kiranyaz, S., 2023. Self-ChakmaNet: A deep learning framework for indigenous language learning using handwritten characters. Egyptian Informatics Journal, 24(4), p.100413.

18. Kabir, S., Salle, J.P., Chowdhury, M.E. and Abbas, T., 2023. Quantification of Vesicoureteral Reflux using Machine Learning. Journal of Pediatric Urology.

19. Saha, D., Hoque, M.E. and Chowdhury, M.E., 2023. Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions. IEEE Access.

20. Hossain, M.S.A., Gul, S., Chowdhury, M.E., Khan, M.S., Sumon, M.S.I., Bhuiyan, E.H., Khandakar, A., Hossain, M., Sadique, A., Al-Hashimi, I. and Ayari, M.A., 2023. Deep Learning Framework for Liver Segmentation from T 1-Weighted MRI Images. Sensors, 23(21), p.8890.

21. Sarraf M, Razak BA, Musharavati F, Ibrahim MZ, Hashemi R, Chowdhury ME. Structural, cell culture, antibacterial and in vitro bioactivity analysis of highly-ordered Al2O3 nanotube coating with decorated Ag2O nanoparticles on Ti-6Al-4V. Surfaces and Interfaces. 2023 Nov 1;42:103328.

22. Peyal HI, Nahiduzzaman M, Pramanik MA, Syfullah MK, Shahriar SM, Sultana A, Ahsan M, Haider J, Khandakar A, Chowdhury ME. Plant Disease Classifier: Detection of Dual-Crop Diseases using Lightweight 2D CNN Architecture. IEEE Access. 2023 Sep 29.

23. Khandakar A, Faisal MA, Chowdhury ME, Reaz MB, Ali SH, Razak MI, Bakar AA, Mahmud S, Malik RA. Laser Induced Graphene based Smart Insole to Measure Plantar Temperature. IEEE Sensors Journal. 2023 Sep 26.

24. Bhuiyan EH, Chowdhury ME, Glover PM. A novel approach to monitor head movement inside an MR scanner using voltages induced in coils by time-varying gradients. IEEE Access. 2023 Sep 22.

25. Rahman T, Al-Ruweidi MK, Sumon MS, Kamal RY, Chowdhury ME, Yalcin HC. Deep Learning Technique for Congenital Heart Disease Detection using Stacking-based CNN-LSTM Models from Fetal Echocardiogram: A Pilot Study. IEEE Access. 2023 Sep 18.

26. Abbas TO, AbdelMoniem M, Villanueva C, Al Hamidi Y, Elkadhi A, AlSalihi M, Salle JP, Abrar S, Chowdhury M. Urologist validation of an artificial intelligence-based tool for automated estimation of penile curvature. Journal of Pediatric Urology. 2023 Sep 16.

27. Baray SB, Ahmed MU, Chowdhury ME, Kise K. EOG-Based Reading Detection in the Wild Using Spectrograms and Nested Classification Approach. IEEE Access. 2023 Sep 15.

28. Ahamed, M.F., Syfullah, M.K., Sarkar, O., Islam, M.T., Nahiduzzaman, M., Islam, M.R., Khandakar, A., Ayari, M.A. and Chowdhury, M.E., 2023. IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques. Sensors, 23(18), p.7724.

29. Hossain, A., Islam, M.T., Hoque, A., Rahim, S.K.A., Alshammari, A.S., Chowdhury, M.E. and Soliman, M.S., 2023. Sensor-based microwave brain imaging system (SMBIS): An experimental six-layered tissue based human head phantom model for brain tumor diagnosis using electromagnetic signals. Engineering Science and Technology, an International Journal, 45, p.101491.

30. Bhuiyan, E.H., Chowdhury, M.E.H. and Glover, P.M., 2023. Feasibility of tracking involuntary head movement for MRI using a coil as a magnetic dipole in a time-varying gradient. Magnetic Resonance Imaging, 101, pp.76-89.

31. Islam, K.R., Prithula, J., Kumar, J., Tan, T.L., Reaz, M.B.I., Sumon, M.S.I. and Chowdhury, M.E., 2023. Machine Learning-Based Early Prediction of Sepsis Using Electronic Health Records: A Systematic Review. Journal of Clinical Medicine, 12(17), p.5658.

32. Sarraf, M., Razak, B.A., Musharavati, F., Ibrahim, M.Z., Hashemi, R. and Chowdhury, M.E., 2023. Structural, Cell Culture, Antibacterial and In vitro Bioactivity Analysis of Highly-Ordered Al2O3 Nanotube Coating with Decorated Ag2O Nanoparticles on Ti-6Al-4V. Surfaces and Interfaces, p.103328.

33. Basak, P., Sakib, A.N., Chowdhury, M.E., Al-Emadi, N., Yalcin, H.C., Pedersen, S., Mahmud, S., Kiranyaz, S. and Al-Maadeed, S., 2023. A Novel Deep Learning Technique for Morphology Preserved Fetal ECG Extraction from Mother ECG using 1D-CycleGAN. Expert Systems with Applications, p.121196.

34. Podder, K.K., Ezeddin, M., Chowdhury, M.E., Sumon, M.S.I., Tahir, A.M., Ayari, M.A., Dutta, P., Khandakar, A., Mahbub, Z.B. and Kadir, M.A., 2023. Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model. Sensors, 23(16), p.7156.

35. Al Mamun, A., Ullah, A., Chowdhury, M.E., Marei, H.E., Madappura, A.P., Hassan, M., Rizwan, M., Gomes, V.G., Amirfazli, A. and Hasan, A., 2023. Oxygen releasing patches based on carbohydrate polymer and protein hydrogels for diabetic wound healing: A review. International Journal of Biological Macromolecules, p.126174.

36. Ottakath, N., Al-Maadeed, S., Zughaier, S.M., Elharrouss, O., Mohammed, H.H., Chowdhury, M.E. and Bouridane, A., 2023. Ultrasound-Based Image Analysis for Predicting Carotid Artery Stenosis Risk: A Comprehensive Review of the Problem, Techniques, Datasets, and Future Directions. Diagnostics, 13(15), p.2614.

37. Rahman, A., Mahmud, S., Chowdhury, M.E., Yalcin, H.C., Khandakar, A., Mutlu, O., Mahbub, Z.B., Kamal, R.Y. and Pedersen, S., 2023. Fetal ECG extraction from maternal ECG using deeply supervised LinkNet++ model. Engineering Applications of Artificial Intelligence, 123, p.106414.

38. Khan, M.M., Chowdhury, M.E., Arefin, A.S., Podder, K.K., Hossain, M.S.A., Alqahtani, A., Murugappan, M., Khandakar, A., Mushtak, A. and Nahiduzzaman, M., 2023. A Deep Learning-Based Automatic Segmentation and 3D Visualization Technique for Intracranial Hemorrhage Detection Using Computed Tomography Images. Diagnostics, 13(15), p.2537.

39. Podder, K.K., Chowdhury, M.E., Al-Maadeed, S., Nisha, N.N., Mahmud, S., Hamadelneil, F., Almkhlef, T., Aljofairi, H., Mushtak, A., Khandakar, A. and Zughaier, S., 2023. Deep learning-based middle cerebral artery blood flow abnormality detection using flow velocity waveform derived from transcranial Doppler ultrasound. Biomedical Signal Processing and Control, 85, p.104882.

40. Tahir, A.M., Mutlu, O., Bensaali, F., Ward, R., Ghareeb, A.N., Helmy, S.M., Othman, K.T., Al-Hashemi, M.A., Abujalala, S., Chowdhury, M.E. and Alnabti, A.R.D., 2023. Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes. Journal of Clinical Medicine, 12(14), p.4774.

41. Ibtehaz, N., Chowdhury, M.E., Khandakar, A., Kiranyaz, S., Rahman, M.S. and Zughaier, S.M., 2023. RamanNet: a generalized neural network architecture for Raman spectrum analysis. Neural Computing and Applications, pp.1-17.

42. Mahmud, S., Abbas, T.O., Mushtak, A., Prithula, J. and Chowdhury, M.E., 2023. Kidney Cancer Diagnosis and Surgery Selection by Machine Learning from CT Scans Combined with Clinical Metadata. Cancers, 15(12), p.3189.

43. Nisha, N.N., Podder, K.K., Chowdhury, M.E., Rabbani, M., Wadud, M.S.I., Al-Maadeed, S., Mahmud, S., Khandakar, A. and Zughaier, S.M., 2023. A Deep Learning Framework for the Detection of Abnormality in Cerebral Blood Flow Velocity Using Transcranial Doppler Ultrasound. Diagnostics, 13(12), p.2000.

44. Ng, C.L., Reaz, M.B.I., Crespo, M.L., Cicuttin, A., Shapiai, M.I.B., Ali, S.H.B.M., Kamal, N.B. and Chowdhury, M.E.H., 2023. A Flexible Capacitive Electromyography Biomedical Sensor for Wearable Healthcare Applications. IEEE Transactions on Instrumentation and Measurement.

45. Rahman, M.S., Rahman, H.R., Prithula, J., Chowdhury, M.E., Ahmed, M.U., Kumar, J., Murugappan, M. and Khan, M.S., 2023. Heart Failure Emergency Readmission Prediction Using Stacking Machine Learning Model. Diagnostics, 13(11), p.1948.

46. Abir, F.F., Chowdhury, M.E., Tapotee, M.I., Mushtak, A., Khandakar, A., Mahmud, S. and Hasan, M.A., 2023. PCovNet+: A CNN-VAE anomaly detection framework with LSTM embeddings for smartwatch-based COVID-19 detection. Engineering Applications of Artificial Intelligence, 122, p.106130.

47. Sankari, V.M., Snekhalatha, U., Murugappan, M., Chowdhury, M.E. and Chamkha, Z.A., 2023. Artificial Intelligence-Based Hearing Loss Detection Using Acoustic Threshold and Speech Perception Level. Arabian Journal for Science and Engineering, pp.1-17.

48. Chowdhury, M.H., Chowdhury, M.E., Khan, M.S., Ullah, M.A., Mahmud, S., Khandakar, A., Hassan, A., Tahir, A.M. and Hasan, A., 2023. Self-Attention MHDNet: A Novel Deep Learning Model for the Detection of R-Peaks in the Electrocardiogram Signals Corrupted with Magnetohydrodynamic Effect. Bioengineering, 10(5), p.542.

49. Hassen Mohammed, H., Elharrouss, O., Ottakath, N., Al-Maadeed, S., Chowdhury, M.E., Bouridane, A. and Zughaier, S., 2023. Ultrasound Intima-Media Complex (IMC) Segmentation Using Deep Learning Models. Applied Sciences, 13(8), p.4821.

50. Bhuiyan, E.H., Chowdhury, M.E.H. and Glover, P.M., 2023. Feasibility of tracking involuntary head movement for MRI using a coil as a magnetic dipole in a time-varying gradient. Magnetic Resonance Imaging.

51. Abbas, T.O., AbdelMoniem, M., Khalil, I., Hossain, M.S.A. and Chowdhury, M.E., 2023. Deep Learning based Automatic Quantification of Urethral Plate Chracteristics using the Plate Objective Scoring Tool (POST). Journal of Pediatric Urology.

52. Hossain, M.S., Mahmud, S., Khandakar, A., Al-Emadi, N., Chowdhury, F.A., Mahbub, Z.B., Reaz, M.B.I. and Chowdhury, M.E., 2023. MultiResUNet3+: A Full-Scale Connected Multi-Residual UNet Model to Denoise Electrooculogram and Electromyogram Artifacts from Corrupted Electroencephalogram Signals. Bioengineering, 10(5), p.579.

53. Rahman, T., Chowdhury, M.E., Khandakar, A., Mahbub, Z.B., Hossain, M.S.A., Alhatou, A., Abdalla, E., Muthiyal, S., Islam, K.F., Kashem, S.B.A. and Khan, M.S., 2023. BIO-CXRNET: a robust multimodal stacking machine learning technique for mortality risk prediction of COVID-19 patients using chest X-ray images and clinical data. Neural Computing and Applications, pp.1-23.

54. Sultana, A., Nahiduzzaman, M., Bakchy, S.C., Shahriar, S.M., Peyal, H.I., Chowdhury, M.E., Khandakar, A., Arselene Ayari, M., Ahsan, M. and Haider, J., 2023. A real time method for distinguishing COVID-19 utilizing 2D-CNN and transfer learning. Sensors, 23(9), p.4458.

55. Sultana, A., Nahiduzzaman, M., Bakchy, S.C., Shahriar, S.M., Peyal, H.I., Chowdhury, M.E., Khandakar, A., Arselene Ayari, M., Ahsan, M. and Haider, J., 2023. A real time method for distinguishing COVID-19 utilizing 2D-CNN and transfer learning. Sensors, 23(9), p.4458.

56. Mahmud, S., Hossain, M.S., Chowdhury, M.E. and Reaz, M.B.I., 2023. MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network. Neural Computing and Applications, 35(11), pp.8371-8388.

57. Faisal, M.A.A., Chowdhury, M.E., Mahbub, Z.B., Pedersen, S., Ahmed, M.U., Khandakar, A., Alhatou, M., Nabil, M., Ara, I., Bhuiyan, E.H. and Mahmud, S., 2023. NDDNet: a deep learning model for predicting neurodegenerative diseases from gait pattern. Applied Intelligence, pp.1-13.

58. Shuzan, Md Nazmul Islam, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Amith Khandakar, Farhan Fuad Abir, Md Ahasan Atick Faisal, Sawal Hamid Md Ali et al. "Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals." Biomedical Signal Processing and Control 81 (2023): 104448.

59. Musharavati, Farayi, Fadi Jaber, Mohamed Nasor, Masoud Sarraf, Erfan Zal Nezhad, Kaan Uzun, Ye Ma, Sungchul Bae, Ramesh Singh, and Muhammad EH Chowdhury. "Micromechanical properties of hydroxyapatite nanocomposites reinforced with CNTs and ZrO2." Ceramics International 49, no. 5 (2023): 7466-7475.

60. Hossain, Amran, Mohammad Tariqul Islam, Tawsifur Rahman, Muhammad EH Chowdhury, Anas Tahir, Serkan Kiranyaz, Kamarulzaman Mat, Gan Kok Beng, and Mohamed S. Soliman. "Brain Tumor Segmentation and Classification from Sensor-Based Portable Microwave Brain Imaging System Using Lightweight Deep Learning Models." Biosensors 13, no. 3 (2023): 302.

61. Heidari, Hanif, Andrei Velichko, Murugappan Murugappan, and Muhammad EH Chowdhury. "Novel techniques for improving NNetEn entropy calculation for short and noisy time series." Nonlinear Dynamics (2023): 1-22.

62. Soliman, Md Mohiuddin, Muhammad EH Chowdhury, Mohammad Tariqul Islam, Farayi Musharavati, Sakib Mahmud, Muhammad Hafizh, Mohamed Arselene Ayari, Amith Khandakar, Mohammad Kaosar Alam, and Erfan Zal Nezhad. "Design and Performance Evaluation of a Novel Spiral Head-Stem Trunnion for Hip Implants Using Finite Element Analysis." Materials 16, no. 4 (2023): 1466.

63. Hossain, Amran, Mohammad Tariqul Islam, Sharul Kamal Abdul Rahim, Md Atiqur Rahman, Tawsifur Rahman, Haslina Arshad, Amit Khandakar, Mohamed Arslane Ayari, and Muhammad EH Chowdhury. "A Lightweight Deep Learning Based Microwave Brain Image Network Model for Brain Tumor Classification Using Reconstructed Microwave Brain (RMB) Images." Biosensors 13, no. 2 (2023): 238.

64. Mahmud, S., Khandakar, A., Chowdhury, M.E., AbdulMoniem, M., Reaz, M.B.I., Mahbub, Z.B., Sadasivuni, K.K., Murugappan, M. and Alhatou, M., 2023. Fiber Bragg Gratings based smart insole to measure plantar pressure and temperature. Sensors and Actuators A: Physical, 350, p.114092.

65. Khandakar, A., Chowdhury, M.E., Reaz, M.B.I., Kiranyaz, S., Hasan, A., Rahman, T., Ali, S.H.M., Bakar, A.A.A., Podder, K.K., Chowdhury, M.H. and Faisal, M.A.A., 2023. DSPNet: A Self-ONN Model for Robust DSPN Diagnosis From Temperature Maps. IEEE Sensors Journal, 23(5), pp.5370-5381.

66. Shuzan, Md Nazmul Islam, Moajjem Hossain Chowdhury, Muhammad EH Chowdhury, Murugappan Murugappan, Enamul Hoque Bhuiyan, Mohamed Arslane Ayari, and Amith Khandakar. "Machine Learning-Based Respiration Rate and Blood Oxygen Saturation Estimation Using Photoplethysmogram Signals." Bioengineering 10, no. 2 (2023): 167.

67. Soliman, M.M., Islam, M.T., Alam, T., Misran, N., Rahim, S.K.A., Alzamil, A., Chowdhury, M.E., Alshammari, A.S., Alsaif, H. and Soliman, M.S., 2023. Broadband near unity absorption meta-structure for solar thermophotovoltaic systems and optical window applications. Nanoscale, 15(31), pp.12972-12994.

68. Haque, F., Reaz, M.B., Chowdhury, M.E., Shapiai, M.I.B., Malik, R.A., Alhatou, M., Kobashi, S., Ara, I., Ali, S.H., Bakar, A.A. and Bhuiyan, M.A.S., 2023. A Machine Learning-Based Severity Prediction Tool for the Michigan Neuropathy Screening Instrument. Diagnostics, 13(2), p.264.

69. Ng, Charn Loong, Mamun Bin Ibne Reaz, Sawal Hamid Bin Md Ali, Maria Liz Crespo, Andres Cicuttin, Muhammad Enamul Hoque Chowdhury, Serkan Kiranyaz, and Noorfazila Binti Kamal. "Powerline Interference Suppression of a Textile-Insulated Capacitive Biomedical Sensor Using Digital Filters." Measurement (2023): 112425.

70. Hafizh, Muhammad, Md Mohiuddin Soliman, Yazan Qiblawey, Muhammad EH Chowdhury, Mohammad Tariqul Islam, Farayi Musharavati, Sakib Mahmud, Amith Khandakar, Mohammad Nabil, and Erfan Zal Nezhad. "Surface Acoustic Wave (SAW) Sensors for Hip Implant: A Numerical and Computational Feasibility Investigation Using Finite Element Methods." Biosensors 13, no. 1 (2023): 79.

71. Mahmud, S., Ibtehaz, N., Khandakar, A., Rahman, M. S., Gonzales, A. J., Rahman, T., ... & Chowdhury, M. E. (2023). NABNet: A Nested Attention-guided BiConvLSTM network for a robust prediction of Blood Pressure components from reconstructed Arterial Blood Pressure waveforms using PPG and ECG signals. Biomedical Signal Processing and Control, 79, 104247.

72. Bidmos, M.A., Olateju, O.I., Latiff, S., Rahman, T. and Chowdhury, M.E., 2023. Machine learning and discriminant function analysis in the formulation of generic models for sex prediction using patella measurements. International Journal of Legal Medicine, 137(2), pp.471-485.

2022 (42):

73. Rahman, A., Styczynski, A., Khaleque, A., Hossain, S. A., Sadique, A., Hossain, A., ... & Chowdhury Muhammad EH, Hossain, M. (2022). Genomic landscape of prominent XDR Acinetobacter clonal complexes from Dhaka, Bangladesh. BMC genomics, 23(1), 1-16.

74. Senceroglu, Sait, Mohamed Arselene Ayari, Tahereh Rezaei, Fardad Faress, Amith Khandakar, Muhammad EH Chowdhury, and Zanko Hassan Jawhar. "Constructing an Intelligent Model Based on Support Vector Regression to Simulate the Solubility of Drugs in Polymeric Media." Pharmaceuticals 15, no. 11 (2022): 1405.

75. Ibtehaz, Nabil, Sakib Mahmud, Muhammad EH Chowdhury, Amith Khandakar, Muhammad Salman Khan, Mohamed Arselene Ayari, Anas M. Tahir, and M. Sohel Rahman. "PPG2ABP: Translating Photoplethysmogram (PPG) Signals to Arterial Blood Pressure (ABP) Waveforms." Bioengineering 9, no. 11 (2022): 692.

76. Mahmud, Sakib, Md Shafayet Hossain, Muhammad EH Chowdhury, and Mamun Bin Ibne Reaz. "MLMRS-Net: Electroencephalography (EEG) motion artifacts removal using a multi-layer multi-resolution spatially pooled 1D signal reconstruction network." Neural Computing and Applications (2022): 1-18.

77. Shuzan, Md Nazmul Islam, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Amith Khandakar, Farhan Fuad Abir, Md Ahasan Atick Faisal, Sawal Hamid Md Ali et al. "Machine learning-based classification of healthy and impaired gaits using 3D-GRF signals." Biomedical Signal Processing and Control 81 (2023): 104448.

78. Zaman, Kh Shahriya, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, and Muhammad Enamul Hoque Chowdhury. "Custom Hardware Architectures for Deep Learning on Portable Devices: A Review." IEEE Transactions on Neural Networks and Learning Systems, Volume: 33, Issue: 11, November 2022, pp 6068 - 6088.

79. Soliman, Md Mohiuddin, Muhammad EH Chowdhury, Mohammad Tariqul Islam, Farayi Musharavati, Mohammad Nabil, Muhammad Hafizh, Amith Khandakar et al. "A Review of Biomaterials and Associated Performance Metrics Analysis in Pre-Clinical Finite Element Model and in Implementation Stages for Total Hip Implant System." Polymers 14, no. 20 (2022): 4308.

80. Chowdhury, Moajjem Hossain, Md Nazmul Islam Shuzan, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Sakib Mahmud, Nasser Al Emadi, Mohamed Arselene Ayari et al. "Lightweight End-to-End Deep Learning Solution for Estimating the Respiration Rate from Photoplethysmogram Signal." Bioengineering 9, no. 10 (2022): 558

81. Khandakar, A., Mahmud, S., Chowdhury, M. E., Reaz, M. B. I., Kiranyaz, S., Mahbub, Z. B., ... & Faisal, M. A. A. (2022). Design and Implementation of a Smart Insole System to Measure Plantar Pressure and Temperature. Sensors, 22(19), 7599.

82. Salman Khan, M., Ullah, A., Khan, K. N., Riaz, H., Yousafzai, Y. M., Rahman, T., ... & Abul Kashem, S. B. (2022). Deep Learning Assisted Automated Assessment of Thalassaemia from Haemoglobin Electrophoresis Images. Diagnostics, 12(10), 2405.

83. Hossain, A., Islam, M. T., Beng, G. K., Kashem, S. B. A., Soliman, M. S., Misran, N., & Chowdhury, M. E. (2022). Microwave brain imaging system to detect brain tumor using metamaterial loaded stacked antenna array. Scientific Reports, 12(1), 1-27.

84. Islam, K. R., Kumar, J., Tan, T. L., Reaz, M. B. I., Rahman, T., Khandakar, A., ... & Chowdhury, M. E. (2022). Prognostic Model of ICU Admission Risk in Patients with COVID-19 Infection Using Machine Learning. Diagnostics, 12(9), 2144.

85. Alyafei, K., Ahmed, R., Abir, F. F., Chowdhury, M. E., & Naji, K. K. (2022). A comprehensive review of COVID-19 detection techniques: From laboratory systems to wearable devices. Computers in Biology and Medicine, 106070.

86. Abbas, T. O., AbdelMoniem, M., & Chowdhury, M. (2022). Automated quantification of penile curvature using artificial intelligence. Frontiers in Artificial Intelligence, 188.

87. Najmi, Maryam, Mohamed Arselene Ayari, Hamidreza Sadeghsalehi, Behzad Vaferi, Amith Khandakar, Muhammad EH Chowdhury, Tawsifur Rahman, and Zanko Hassan Jawhar. "Estimating the Dissolution of Anticancer Drugs in Supercritical Carbon Dioxide with a Stacked Machine Learning Model." Pharmaceutics 14, no. 8 (2022): 1632.

88. Hosseini, Saleh, Amith Khandakar, Muhammad EH Chowdhury, Mohamed Arselene Ayari, Tawsifur Rahman, Moajjem Hossain Chowdhury, and Behzad Vaferi. "Novel and robust machine learning approach for estimating the fouling factor in heat exchangers." Energy Reports 8 (2022): 8767-8776.

89. Abir, Farhan Fuad, Khalid Alyafei, Muhammad EH Chowdhury, Amith Khandaker, Rashid Ahmed, Md Shafayet Hossain, Sakib Mahmud et al. "PCovNet: A presymptomatic COVID-19 detection framework using deep learning model using wearables data." Computers in Biology and Medicine (2022): 105682.

90. Khandakar, Amith, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Serkan Kiranyaz, Tawsifur Rahman, Moajjem Hossain Chowdhury et al. "A Novel Machine Learning Approach for Severity Classification of Diabetic Foot Complications Using Thermogram Images." Sensors 22, no. 11 (2022): 4249.

91. Gul, Sidra, Muhammad Salman Khan, Asima Bibi, Amith Khandakar, Mohamed Arselene Ayari, and Muhammad EH Chowdhury. "Deep learning techniques for liver and liver tumor segmentation: A review." Computers in Biology and Medicine (2022): 105620.

92. Kashem, Saad Bin Abul, Akila Jayasinghe, Muhammad EH Chowdhury, Amith Khandakar, Azad Ashraf, A. Ansaruddin Kunju, Mohammad Nashbat et al. "A Review and Analysis of the Effects of Colors of Light On the Performance of Solar Photovoltaic Panels." International Journal of Integrated Engineering 14, no. 4 (2022): 116-136.

93. Tabassum, Mujahid, Sundresan Perumal, Saad Bin Abdul Kashem, Suresh Ponnan, Chinmay Chakraborty, Muhammad EH Chowdhury, and Amith Khandakar. "Enhance data availability and network consistency using artificial neural network for IoT." Multimedia Tools and Applications (2022): 1-21.

94. Rahman, T., Khandakar, A., Islam, K. R., Soliman, M. M., Islam, M. T., Elsayed, A., ... & Chowdhury, M. E. (2022). HipXNet: Deep Learning Approaches to Detect Aseptic Loos-ening of Hip Implants using X-Ray Images. IEEE Access.

95. Haque, F., Reaz, M.B.I., Chowdhury, M.E.H., Ezeddin, M., Kiranyaz, S., Alhatou, M., Ali, S.H.M., Bakar, A.A.A. and Srivastava, G., 2022. Machine Learning-Based Diabetic Neuropathy and Previous Foot Ulceration Patients Detection Using Electromyography and Ground Reaction Forces during Gait. Sensors, 22(9), p.3507.

96. Subramanian, Nandhini, Omar Elharrouss, Somaya Al-Maadeed, and Muhammed Chowdhury. "A review of deep learning-based detection methods for COVID-19." Computers in Biology and Medicine (2022): 105233.

97. Rahman, T., Khandakar, A., Abir, F. F., Faisal, M. A. A., Hossain, M. S., Podder, K. K., ... & Chowdhury, M. E. (2022). QCovSML: A reliable COVID-19 detection system using CBC biomarkers by a stacking machine learning model. Computers in Biology and Medicine, 143, 105284.

98. Haque, F., Reaz, M. B., Chowdhury, M. E., Kiranyaz, S., Ali, S. H., Alhatou, M., ... & Srivastava, G. (2022). Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification Using Nerve Conduction Studies. Computational Intelligence and Neuroscience, 2022.

99. Cao, Y., H. A. Dhahad, A. Khandakar, M. E. H. Chowdury, M. A. Ayari, S. M. Alizadeh, and B. Vaferi. "Employing computational fluid dynamics technique for analyzing the PACK-1300XY with methanol and isopropanol mixture." Scientific Reports 12, no. 1 (2022): 1-11.

100. Hossain, M.S., Chowdhury, M.E., Reaz, M.B.I., Ali, S.H.M., Bakar, A.A.A., Kiranyaz, S., Khandakar, A., Alhatou, M., Habib, R. and Hossain, M.M., 2022. Motion Artifacts Correction from Single-Channel EEG and fNIRS Signals Using Novel Wavelet Packet Decomposition in Combination with Canonical Correlation Analysis. Sensors, 22(9), p.3169.

101. Rahman, T., Ibtehaz, N., Khandakar, A., Hossain, M. S. A., Mekki, Y. M. S., Ezeddin, M., ... & Chowdhury, M. E. (2022). QUCoughScope: An Intelligent Application to Detect COVID-19 Patients Using Cough and Breath Sounds. Diagnostics, 12(4), 920.

102. Gabbouj, M., Kiranyaz, S., Malik, J., Zahid, M. U., Ince, T., Chowdhury, M. E., ... & Tahir, A. (2022). Robust Peak Detection for Holter ECGs by Self-Organized Operational Neural Networks. IEEE Transactions on Neural Networks and Learning Systems.

103. Hossain, M. S., Reaz, M. B. I., Chowdhury, M. E., Ali, S. H., Bakar, A. A. A., Kiranyaz, S., ... & Habib, R. (2022). Motion Artifacts Correction from EEG and fNIRS Signals using Novel Multiresolution Analysis. IEEE Access, 10, 29760-29777.

104. Khandakar, A., Chowdhury, M. E., Reaz, M. B. I., Ali, S. H. M., Abbas, T. O., Alam, T., ... & Malik, R. A. (2022). Thermal change index-based diabetic foot thermogram image classification using machine learning techniques. Sensors, 22(5), 1793.

105. Khandakar, A., Chowdhury, M. E., Khalid, M., & Zorba, N. (2022). Case Study of Multi-Course Project-Based Learning and Online Assessment in Electrical Engineering Courses during COVID-19 Pandemic. Sustainability, 14(9), 5056.

106. Rahman, Tawsifur, Alex Akinbi, Muhammad EH Chowdhury, Tarik A. Rashid, Abdulkadir Şengür, Amith Khandakar, Khandaker Reajul Islam, and Aras M. Ismael. "COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network." Health Information Science and Systems 10, no. 1 (2022): 1-16.

107. Nezhad, Erfan Zal, Masoud Sarraf, Farayi Musharavati, Fadi Jaber, J. I. Wang, Hamid Reza Madaah Hosseini, Sungchul Bae, Muhammad Chowdhury, Hongyun So, and Nazatul Liana Sukiman. "Effect of zirconia nanotube coating on the hydrophilicity and mechanochemical behavior of zirconium for biomedical applications." Surfaces and Interfaces 28 (2022): 101623. 

108. Rahman, Arafat, Muhammad EH Chowdhury, Amith Khandakar, Anas M. Tahir, Nabil Ibtehaz, Md Shafayet Hossain, Serkan Kiranyaz, Junaid Malik, Haya Monawwar, and Muhammad Abdul Kadir. "Robust biometric system using session invariant multimodal EEG and keystroke dynamics by the ensemble of self-ONNs." Computers in Biology and Medicine (2022): 105238.

109. Tahir, Anas M., Yazan Qiblawey, Amith Khandakar, Tawsifur Rahman, Uzair Khurshid, Farayi Musharavati, M. T. Islam, Serkan Kiranyaz, Somaya Al-Maadeed, and Muhammad EH Chowdhury. "Deep learning for reliable classification of COVID-19, MERS, and SARS from chest X-ray images." Cognitive Computation (2022): 1-21. 

110. Faisal, Ahasan Atick, Muhammad EH Chowdhury, Amith Khandakar, Shafayet Hossain, Mohammed Alhatou, Sakib Mahmud, Iffat Ara, Shah Imran Sheikh, and Mosabber Uddin Ahmed. "An investigation to study the effects of Tai Chi on human gait dynamics using classical machine learning." Computers in biology and medicine (2022): 105184.

111. Wang, Jing, Mohamed Arselene Ayari, Amith Khandakar, Muhammad EH Chowdhury, S. M. Uz Zaman, Tawsifur Rahman, and Behzad Vaferi. "Estimating the Relative Crystallinity of Biodegradable Polylactic Acid and Polyglycolide Polymer Composites by Machine Learning Methodologies." Polymers 14, no. 3 (2022): 527.

112. Podder, Kanchon Kanti, Muhammad EH Chowdhury, Anas M. Tahir, Zaid Bin Mahbub, Amith Khandakar, Md Shafayet Hossain, and Muhammad Abdul Kadir. "Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model." Sensors 22, no. 2 (2022): 574.

113. Mahmud, Sakib, Nabil Ibtehaz, Amith Khandakar, Anas M. Tahir, Tawsifur Rahman, Khandaker Reajul Islam, Md Shafayet Hossain et al. "A Shallow U-Net Architecture for Reliably Predicting Blood Pressure (BP) from Photoplethysmogram (PPG) and Electrocardiogram (ECG) Signals." Sensors 22, no. 3 (2022): 919.

114. Hossain, M. I., A. Khandakar, M. E. H. Chowdhury, S. Ahmed, M. M. Nauman, and B. Aïssa. "Numerical and Experimental Investigation of Infrared Optical Filter Based on Metal Oxide Thin Films for Temperature Mitigation in Photovoltaics." Journal of Electronic Materials 51, no. 1 (2022): 179-189.

2021 (33):

115. Ibtehaz, Nabil, Muhammad EH Chowdhury, Amith Khandakar, Serkan Kiranyaz, M. Sohel Rahman, Anas Tahir, Yazan Qiblawey, and Tawsifur Rahman. "EDITH: ECG biometrics aided by Deep learning for reliable Individual auTHentication." IEEE Transactions on Emerging Topics in Computational Intelligence (2021).

116. Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad EH Chowdhury, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, Tawsifur Rahman, Syoji Kobashi, Chitra A. Dhawale, and Mohammad Arif Sobhan Bhuiyan. "A nomogram-based diabetic sensorimotor polyneuropathy severity prediction using Michigan neuropathy screening instrumentations." Computers in Biology and Medicine 139 (2021): 104954.

117. Tahir, Anas M., Muhammad EH Chowdhury, Amith Khandakar, Tawsifur Rahman, Yazan Qiblawey, Uzair Khurshid, Serkan Kiranyaz et al. "COVID-19 infection localization and severity grading from chest X-ray images." Computers in biology and medicine 139 (2021): 105002.

118. Khandakar, Amith, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Md Anwarul Hasan, Serkan Kiranyaz, Tawsifur Rahman, Rashad Alfkey, Ahmad Ashrif A. Bakar, and Rayaz A. Malik. "A machine learning model for early detection of diabetic foot using thermogram images." Computers in Biology and Medicine 137 (2021): 104838.

119. Rahman, T., Khandakar, A., Hoque, M. E., Ibtehaz, N., Kashem, S. B., Masud, R., ... & Chowdhury, M. E. (2021). "Development and Validation of an Early Scoring System for Prediction of Disease Severity in COVID-19 using Complete Blood Count Parameters". IEEE Access, vol-9, pp120422 - 120441.

120. Rahman, T.; Al-Ishaq, F.A.; Al-Mohannadi, F.S.; Mubarak, R.S.; Al-Hitmi, M.H.; Islam, K.R.; Khandakar, A.; Hssain, A.A.; Al-Madeed, S.; Zughaier, S.M.; Chowdhury, M.E.H. "Mortality Prediction Utilizing Blood Biomarkers to Predict the Severity of COVID-19 Using Machine Learning Technique". Diagnostics 2021, 11, 1582. https://doi.org/10.3390/diagnostics11091582

121. Shuzan, Md Nazmul Islam, Moajjem Hossain Chowdhury, Md Shafayet Hossain, Muhammad EH Chowdhury, Mamun Bin Ibne Reaz, M. Monir Uddin, Amith Khandakar, Zaid B. Mahbub, and Sawal Hamid Md Ali. "A Novel Non-Invasive Estimation of Respiration Rate from Motion Corrupted Photoplethysmograph Signal Using Machine Learning Model." IEEE Access (2021), vol-9, pp96775 - 96790. (Q1)

122. Rahman, Arafat, Muhammad EH Chowdhury, Amith Khandakar, Serkan Kiranyaz, Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, Maymouna Ezeddin, and Muhammad Abdul Kadir. "Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms." IEEE Access (2021), v-9, pp94625 - 94643. (Q1)

123. Hannan, Saif, Mohammad Tariqul Islam, Mohammad Rashed Iqbal Faruque, Muhammad EH Chowdhury, and Farayi Musharavati. "Angle-insensitive co-polarized metamaterial absorber based on equivalent circuit analysis for dual band WiFi applications." Scientific reports 11, no. 1 (2021): 1-13. (Q1)

124. Md. Moniruzzaman, Mohammad Tariqul Islam, Norbahiah Misran, Md Samsuzzaman, Touhidul Alam, Muhammad E.H. Chowdhury, "Inductively Tuned Modified Split Ring Resonator based Quad Band Epsilon Negative(ENG) with Near Zero Index (NZI) Metamaterial for Multiband Antenna Performance Enhancement", Scientific Reports 11, pp 1-29 (2021)  (Q1)

125. Hossain, Amran, Mohammad Tariqul Islam, Mohammad Shahidul Islam, Muhammad EH Chowdhury, Ali F. Almutairi, Qutaiba A. Razouqi, and Norbahiah Misran. "A YOLOv3 Deep Neural Network Model to Detect Brain Tumor in Portable Electromagnetic Imaging System." IEEE Access (2021), v-9, pp 82647 - 82660. (Q1)

126. Rahman, M. A., Islam, M. T., Singh, M. S. J., Chowdhury, M. E., & Samsuzzaman, M. (2021). "Quad-band flexible magnesium zinc ferrite (MgZnFe2O4)-based double negative metamaterial for microwave applications." Chinese Journal of Physics, 71, 351-364. (Q1)

127. Md Atiqur Rahman, Mohammad Tariqul Islam, Mandeep Singh Jit Singh, Md Samsuzzaman, Muhammad E. H. Chowdhury, "Synthesis and characterization of Mg–Zn ferrite based flexible microwave composites and its application as SNG metamaterial" Scientific Reports, 11, 7654 (2021). https://doi.org/10.1038/s41598-021-87100-6 (Q1)

128. Degerli, Aysen, Mete Ahishali, Mehmet Yamac, Serkan Kiranyaz, Muhammad EH Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj. "COVID-19 infection map generation and detection from chest X-ray images." Health Information Science and Systems 9, no. 1 (2021): 1-16. (Q1)

129. Chowdhury, Muhammad EH, Tawsifur Rahman, Amith Khandakar, Mohamed Arselene Ayari, Aftab Ullah Khan, Muhammad Salman Khan, Nasser Al-Emadi, Mamun Bin Ibne Reaz, Mohammad Tariqul Islam, and Sawal Hamid Md Ali. "Automatic and Reliable Leaf Disease Detection Using Deep Learning Techniques." AgriEngineering 3, no. 2 (2021): 294-312. (Q3)

130. Soliman, Md Mohiuddin, Muhammad EH Chowdhury, Amith Khandakar, Mohammad Tariqul Islam, Yazan Qiblawey, Farayi Musharavati, and Erfan Zal Nezhad. "Review on Medical Implantable Antenna Technology and Imminent Research Challenges." Sensors 21, no. 9 (2021): 3163. (Q1)

131. Qiblawey, Yazan, Anas Tahir, Muhammad EH Chowdhury, Amith Khandakar, Serkan Kiranyaz, Tawsifur Rahman, Nabil Ibtehaz et al. "Detection and severity classification of COVID-19 in CT images using deep learning." Diagnostics 11, no. 5 (2021): 893. (Q1)

132. Haque, Fahmida, Mamun Bin Ibne Reaz, Muhammad Enamul Hoque Chowdhury, Geetika Srivastava, Sawal Hamid Md Ali, Ahmad Ashrif A. Bakar, and Mohammad Arif Sobhan Bhuiyan. "Performance Analysis of Conventional Machine Learning Algorithms for Diabetic Sensorimotor Polyneuropathy Severity Classification." Diagnostics 11, no. 5 (2021): 801. (Q1)

133. Hoque, Ahasanul, Mohammad Tariqul Islam, Ali F. Almutairi, and Muhammad EH Chowdhury. "DNG Metamaterial reflector using SOCT shaped resonator for Microwave Applications." IEEE Access (2021). (Q1)

134. Islam, Mohammad Shahidul, Mohammad Tariqul Islam, Ahasanul Hoque, Md Tarikul Islam, Nowshad Amin, and Muhammad EH Chowdhury. "A Portable Electromagnetic Head Imaging System Using Metamaterial Loaded Compact Directional 3D Antenna." IEEE Access, v 8(2021), pp50893-50906. (Q1)

135. Rahman, T., Khandakar, A., Qiblawey, Y., Tahir, A., Kiranyaz, S., Kashem, S.B.A., Islam, M.T., Maadeed, S.A., Zughaier, S.M., Khan, M.S. and Chowdhury, M.E.,"Exploring the Effect of Image Enhancement Techniques on COVID-19 Detection using Chest X-rays Images." Computer in Medicine and Biology, Volume 132, May 2021, 104319. (Q2)

136. Nada Abughanam, Shahd Sameer Mohammed Gaben, Muhammad E.H. Chowdhury, Amith Khandakar, "Investigating the Effect of Materials and Structures for Negative Pressure Ventilators Suitable for Pandemic Situation" , Emergent Materials (2021). https://doi.org/10.1007/s42247-021-00181-x (Q3)

137. Ahishali, Mete, Aysen Degerli, Mehmet Yamac, Serkan Kiranyaz, Muhammad EH Chowdhury, Khalid Hameed, Tahir Hamid, Rashid Mazhar, and Moncef Gabbouj. "Advance warning methodologies for covid-19 using chest x-ray images." IEEE Access 9 (2021): 41052-41065. (Q1)

138. Yamaç, Mehmet, Mete Ahishali, Aysen Degerli, Serkan Kiranyaz, Muhammad EH Chowdhury, and Moncef Gabbouj. "Convolutional Sparse Support Estimator-Based COVID-19 Recognition From X-Ray Images." IEEE Transactions on Neural Networks and Learning Systems (2021), v-32, pp1810 - 1820. (Q1)

139. Rahman, Md Atiqur, Mohammad Tariqul Islam, Mandeep Singh Jit Singh, Muhammad EH Chowdhury, and Md Samsuzzaman. "Quad-band flexible magnesium zinc ferrite (MgZnFe2O4)-based double negative metamaterial for microwave applications." Chinese Journal of Physics, Volume 71, June 2021, Pages 351-364. (Q1)

140. Chowdhury, Muhammad EH, Tawsifur Rahman, Amith Khandakar, Somaya Al-Madeed, Susu M. Zughaier, Suhail AR Doi, Hanadi Hassen, and Mohammad T. Islam. "An early warning tool for predicting mortality risk of COVID-19 patients using machine learning." Cognitive Computation (2021): 1-16. (Q1)

141. [Accepted] Muhammad E. H. Chowdhury, Amith Khandakar, Khawla Alzoubi, Anas Tahir, Aisha Mohammed, Safaa Taha, Aya Omar, Mamun Bin Ibne Reaz “Wearable Real-time Epileptic Seizure Detection and Warning System”, Computer in Medicine and Biology, 2020. (Q2)

142. Fahmida Hoque, Mamun Bin Ibne Reaz, Muhammad E. H. Chowdhury, Sawal Ali, “Diabetic Sensorimotor Polyneuropathy Severity Classification Using Adaptive Neuro Fuzzy Inference System” in IEEE Access, 2020, Vol. 8, pp7618 - 7631. (Q1)

143. Yazan Qiblawey, Muhammad E.H. Chowdhury, Farayi Musharavati, Erfan Zalnezhad, Amith Khandakar, Mohammad Tariqul Islam “Instrumented Hip Implant: A Review”, IEEE Sensors, Volume: 21, Issue: 6, pp. 7179 - 7194, March15, 2021. (Q1)

144. Md Tarikul Islam, Mohammad Tariqul Islam, Md Samsuzzaman, Salehin Kibria, Muhammad E. H. Chowdhury, "Microwave Breast Imaging using Compressed Sensing Approach of Iteratively Corrected Delay Multiply and Sum Beamformer", Diagnostics 2021, 11(3), 470 (Q1)

145. Zalnezhad, Erfan, F. Musharavati, Tianyi Chen, Fadi Jaber, Kaan Uzun, Muhammad EH Chowdhury, Amith Khandakar, Junxing Liu, and S. Bae. "Tribo-mechanical properties evaluation of HA/TiO 2/CNT nanocomposite." Nature Scientific reports 11, no. 1 (2021): 1-15. (Q1)

146. Nezhad, Erfan Zal, Xiang Qu, Farayi Musharavati, Fadi Jaber, Mark R. Appleford, S. Bae, Kaan Uzun, Morgan Struthers, Muhammad EH Chowdhury, and Amith Khandakar. "Effects of titanium and carbon nanotubes on nano/micromechanical properties of HA/TNT/CNT nanocomposites." Applied Surface Science 538: 148123, 2021. (Q1)

2020 (23):

147. Haque, Fahmida, Mamun Bin Ibne Reaz, Sawal Hamid Md Ali, Norhana Arsad, and Muhammad Enamul Hoque Chowdhury. "Performance analysis of noninvasive electrophysiological methods for the assessment of diabetic sensorimotor polyneuropathy in clinical research: a systematic review and meta-analysis with trial sequential analysis." Scientific Reports 10, no. 1 (2020): 21770-21770. (Q1)

148. Hossain, Amran, Mohammad Tariqul Islam, Muhammad EH Chowdhury, and Md Samsuzzaman. "A Grounded Coplanar Waveguide-Based Slotted Inverted Delta-Shaped Wideband Antenna for Microwave Head Imaging." IEEE Access 8 (2020): 185698-185724. (IF-3.745, Q1, Scopus Indexed).

149. Jamal, Mohammad H., Suhail A. Doi, Sarah AlYouha, Sulaiman Almazeedi, Mohannad Al-Haddad, Ali Al-Muhaini, Fahad Al-Ghimlas, Muhammad E. Chowdhury, and Salman Al-Sabah. "A biomarker based severity progression indicator for COVID-19: the Kuwait prognosis indicator score." Biomarkers (2020): 1-8. (Q2, Scopus Indexed). 

150. CL Ng, MI Reaz, ML Crespo, A Cicuttin, MEH Chowdhury, “Characterization of capacitive electromyography biomedical sensor insulated with porous medical bandages” Scientific Reports (nature), 10, 2020. (IF-4.120, Q1, Scopus Indexed).

151. Muhammad E.H. Chowdhury, Amith Khandakar, Saba Ahmed, Fatima Al-Khuzaei, Jalaa Hamdalla, Fahmida Haque, Mamun Bin Ibne Reaz, Ahmed Al Shafei, Nasser Al-Emadi, “Design, Construction and Testing of IoT based Automated Indoor Vertical Hydroponics Farming Test-bed in Qatar” in Sensors 2020, 20(19), 5637; https://doi.org/10.3390/s20195637. (Q1)

152. Rahman, Tawsifur, Amith Khandakar, Muhammad Abdul Kadir, Khandaker Rejaul Islam, Khandakar F. Islam, Rashid Mazhar, Tahir Hamid, Muhammad E.H. Chowdhury. "Reliable tuberculosis detection using chest X-ray with deep learning, segmentation and visualization." IEEE Access 8 (2020): 191586-191601. (IF-3.745, Q1, Scopus Indexed).

153. Mahmud, Sultan, Sikder Sunbeam Islam, Kamarulzaman Mat, Muhammad E.H. Chowdhury, Hatem Rmili, and Mohammad Tariqul Islam. "Design and parametric analysis of a wide-angle polarization-insensitive metamaterial absorber with a star shape resonator for optical wavelength applications." Results in Physics (2020): 103259. (IF- 4.019, Q1, Scopus Indexed). 

154. Islam, Mohammad Shahidul, Mohammad Tariqul Islam, Norsuzlin Mohd Sahar, Hatem Rmili, Nowshad Amin, and Muhammad E.H. Chowdhury. "A Mutual Coupled Concentric Crossed-Line Split Ring Resonator (CCSRR) Based Epsilon Negative (ENG) Metamaterial for Tri-band Microwave Applications." Results in Physics (2020): 103292. (IF- 4.019, Q1, Scopus Indexed).

155. Moniruzzaman, Md, Mohammad Tariqul Islam, Md Tarikul Islam, Muhammad E.H. Chowdhury, Hatem Rmili, and Md Samsuzzaman. "Cross Coupled Interlinked Split Ring Resonator Based Epsilon Negative Metamaterial with High Effective Medium Ratio for Multiband Satellite and Radar Communications." Results in Physics (2020): 103296. (IF- 4.019, Q1, Scopus Indexed). 

156. Hoque, Ahasanul, Mohammad Tariqul Islam, Ali F. Almutairi, Muhammad E.H. Chowdhury, and Md Samsuzzaman. "SNG and DNG meta-absorber with fractional absorption band for sensing application." Scientific Reports (Nature) 10, no. 1 (2020): 1-17. (IF-4.120, Q1, Scopus Indexed). 

157. Hussain, Arif, Anwarul Hasan, Mohammad Mahdi Nejadi Babadaei, Samir Haj Bloukh, Muhammad E.H. Chowdhury, Majid Sharifi, Setareh Haghighat, and Mojtaba Falahati. "Targeting SARS-CoV2 Spike Protein Receptor Binding Domain by Therapeutic Antibodies." Biomedicine & Pharmacotherapy (2020): 110559. ((IF-4.545, Q1, Scopus Indexed).

158. Hannan, Saif, Mohammad Tariqul Islam, Norsuzlin Mohd Sahar, Kamarulzaman Mat, Muhammad E.H. Chowdhury, and Hatem Rmili. "Modified-Segmented Split-Ring Based Polarization and Angle-Insensitive Multi-Band Metamaterial Absorber for X, Ku and K Band Applications." IEEE Access (2020), 8, pp 44051 - 144063. (IF-3.745, Q1, Scopus Indexed). 

159. Teoh Ji Sheng, Mohammad Shahidul Islam, Norbahiah Misran, Mohd Hafiz Baharuddin, Haslina Arshad, Md. Rashedul Islam, Muhammad E. H. Chowdhury, Hatem Rmili, Mohammad Tariqul Islam "An Internet of Things Based Smart Waste Management System Using LoRa and Tensorflow Deep Learning Model," in IEEE Access, vol. 8, pp. 148793-148811, 2020, doi: 10.1109/ACCESS.2020.3016255. (IF-3.745, Q1, Scopus Indexed). 

160. Amran Hossain, Mohammad Tariqul Islam, Md Tarikul Islam, Muhammad E. H. Chowdhury, Hatem Rmili, Md. Samsuzzaman, “A Planar Ultra wideband Patch Antenna Array for Microwave Breast Tumour Detection”, in Materials 2020 Nov 2;13(21):4918. doi: 10.3390/ma13214918. (Q1, Scopus Indexed). 

161. Dahmani, M.; Chowdhury, M.E.H.; Khandakar, A.; Rahman, T.; Al-Jayyousi, K.; Hefny, A.; Kiranyaz, S. “An Intelligent and Low-Cost Eye-Tracking System for Motorized Wheelchair Control.” Sensors 2020, 20, 3936. (IF-3.275, Q1, Scopus Indexed). 

162. Nan, JiFeng, Mohammadreza Rezaei, Rashid Mazhar, Fadi Jaber, Farayi Musharavati, Erfan Zalnezhad, and Muhammad E.H. Chowdhury. "Finite Element Analysis of the Mechanism of Traumatic Aortic Rupture (TAR)." Computational and mathematical methods in medicine, v 2020 (2020). (IF- 1.770, Q2, Scopus Indexed). 

163. Rahman, Tawsifur, Muhammad E.H. Chowdhury, Amith Khandakar, Khandaker R. Islam, Khandaker F. Islam, Zaid B. Mahbub, Muhammad A. Kadir, and Saad Kashem. "Transfer Learning with Deep Convolutional Neural Network (CNN) for Pneumonia Detection using Chest X-ray." Applied Sciences 10, no. 9 (2020): 3233. (IF- 2.474, Q1, Scopus Indexed). 

164. Khandakar, Amith, Annaufal Rizqullah, Anas Ashraf Abdou Berbar, Mohammad Rafi Ahmed, Atif Iqbal, Muhammad E.H. Chowdhury, and S. M. Uz Zaman. "A Case Study to Identify the Hindrances to Widespread Adoption of Electric Vehicles in Qatar." Energies 13, no. 15 (2020): 3994. (IF- 2.474, Q2, Scopus Indexed). 

165. Chowdhury, Moajjem Hossain, Md Nazmul Islam Shuzan, Muhammad E.H. Chowdhury, Zaid B. Mahbub, M. Monir Uddin, Amith Khandakar, and Mamun Bin Ibne Reaz. "Estimating Blood Pressure from the Photoplethysmogram Signal and Demographic Features Using Machine Learning Techniques." Sensors 20, no. 11 (2020): 3127. (IF-3.275, Q1, Scopus Indexed). 

166. Folla Kamdem Jérôme, Wembe Tafo Evariste, Essimbi Zobo Bernard, Maria Liz Crespo, Andres Cicuttin, Mamun Bin Ibne Reaz, Mohammad Arif Sobhan Bhuiyan, Muhammad Enamul Hoque Chowdhury. "A 0.35 µm Low-Noise Stable Charge Sensitive Amplifier for Silicon Detectors Applications." Informacije MIDEM 50, no. 1 (2020): 3-14. (Q4, Scopus Indexed).

167. Chowdhury, Muhammad EH, Tawsifur Rahman, Amith Khandakar, Rashid Mazhar, Muhammad Abdul Kadir, Zaid Bin Mahbub, Khandaker Reajul Islam et al. "Can AI help in screening viral and COVID-19 pneumonia?." in IEEE Access, 2020 vol. 8, pp 132665 – 132676. (IF-3.745, Q1, Scopus Indexed).

168. Anas M Tahir, Muhammad E.H. Chowdhury, Amith Khandakar, Sara Al-Hamouz, Merna Abdalla, Sara Awadalla, Mamun Bin Ibne Reaz, Nasser Al-Emadi “A Systematic Approach for Design and Characterization of Low-Cost Smart Insole for Detecting Vertical Ground Reaction Force (vGRF) in Gait Analysis”, Sensors, 2020, 20(4), 957. (IF-3.275, Q1, Scopus Indexed). 

169. Amith Khandakar, Muhammad E. H. Chowdhury, Antonio Jr. San Pedro Gonzales, Farid Touati, Mohamed Arselene Ayari, Nasser Al Emadi, “Case Study to Analyze the Impact of Multi-Course Project-Based Learning Approach on Education for Sustainable Development”, Sustainability, 12(2), 480, 2020. (IF-2.576, Q2, Scopus Indexed). 

2019 (8):

170. Ng, Charn Loong, Mamun Bin Ibne Reaz, and Muhammad Enamul Hoque Chowdhury. "A Low Noise Capacitive Electromyography Monitoring System for Remote Healthcare Applications." IEEE Sensors Journal 20, no. 6 (2019): 3333-3342. (IF-3.076, Q1, Scopus Indexed). 

171. Muhammad E.H. Chowdhury, Khawla Alzoubi, Amith Khandakar, Ridab Khalifa, Rayaan Abou hashera, Sirine Koubaa, Rashid Ahmed, Anwarul Hasan, “Wearable Real Time Heart Attack Detection and Warning System to Reduce Road Accidents.” Sensors, 19(12), 2780, 2019. (IF-3.031, Q1, Scopus Indexed) 

172. Amith Khandakar, Muhammad E. H. Chowdhury, Monzure Khoda Kazi, Kamel Benhmed, Farid Touati, Mohammed Al-Hitmi, Jr SP Gonzales, “Machine learning based photovoltaics (PV) power prediction using different environmental parameters of Qatar”, Energies, 12(14), 2782, 2019. (IF-2.676, Q2, Scopus Indexed)

173. Muhammad E.H. Chowdhury, Amith Khandakar, Khawla Alzoubi, Samar Mansoor, Anas Tahir, Mamun Bin Ibne Reaz, Nasser Al-Emadi, “Real-Time Smart-Digital Stethoscope System for Heart Diseases Monitoring”. Sensors, 19(12), 2781, 2019. (IF-3.031, Q1, Scopus Indexed)

174. Muhammad E. H. Chowdhury, Amith Khandakar, Belayat Hossain, Karen J. Mullinger, Nasser Al-Emadi, Andre Antunes, Richard W. Bowtell, “Reference Layer Artefact Subtraction: electromagnetic simulations”, IEEE Access, 7, 17882-17895, 2019. (IF-4.098, Q1, Scopus Indexed).

175. Amith Khandakar, Muhammad E.H. Chowdhury, Rashid Ahmed, Ahmed Dhib, Mohammed Mohammed, Nasser Ahmed Al-Emadi, Dave Michelson, “Portable system for monitoring and controlling driver behaviour and the use of a mobile phone while driving.” Sensors, 19(7), 1563, 2019. (IF-3.031, Q1, Scopus Indexed) 

176. Muhammad E. H. Chowdhury, Md. Belayat Hossain, Rayaan Abouhasera, Amith Khandaker, “A Low-Cost Closed-Loop Solar Tracking System Based on the Sun Position Algorithm”, Journal of Sensors, 2019. (IF-2.057, Q2, Scopus Indexed)

177. Muhammad E. H. Chowdhury, Amith Khandakar, Karen J. Mullinger, Nasser Al-Emadi, Richard Bowtell, “Simultaneous EEG-fMRI: evaluating the effect of the EEG cap cabling configuration on the gradient artefact.” Frontiers in Neuroscience, section Brain Imaging Methods, 2019. doi: 10.3389/fnins.2019.00690. (IF- 3.398, Q1, Scopus Indexed).  

2018 (2):

178. Glyn S. Spencer, James A. Smith, Muhammad E. H. Chowdhury, Richard W. Bowtell, Karen J. Mullinger, “Exploring the origins of EEG motion artefacts during simultaneous fMRI acquisition: implications for motion artefact correction”, Neuroimage, Elsevier Publications, Volume 173, 2018, Pages 188-198. (IF-5.835. Q1, Scopus Indexed). 

179. Muhammad E. H. Chowdhury, Amith Khandakar, Belayat Hossain, Khawla Alzoubi, “Effects of the phantom shape on characterizing the gradient artefact of the EEG data in simultaneous EEG-fMRI”, Applied Science, 2018, 8 (10), 1969. (IF- 2.474, Q1, Scopus Indexed). 

2017 (1):

180. Abdel Ghani Karkar, Muhammad E. H. Chowdhury, Naveed Nawaz, “Surround-Screen Mobile based Projection: Design and Implementation of Mobile Cave Virtual Reality”, IEEE Access, November 2017. (IF-3.557, Q1, Scopus Indexed). 

2016 (2):

181. Md. Belayat Hossain, Mohammad Arif Iftekhar, Muhammad E. H. Chowdhury, “Comparative Study of Different Pulse Artefact Correction Techniques during Concurrent EEG-FMRI Using FMRIB”, in the Asia Pacific Journal of Multidisciplinary Research, Vol- 4(3), 2016, P. 93-99. (IF-0.815, Q3, ISI Indexed)

182. Muhammad E. H. Chowdhury, Md. Belayat Hossain, Tamal Adhikary, Md. Abdur Razzaque, “Remote Analysis of Soil Macronutrients using Optical Sensor for Precision Agriculture”, in the International Journal of Applied Science and Engineering, Vol-14(2), 2016, P. 87-99. (IF-0.94, Q2, Scopus Indexed)

2015 (1):

183. Muhammad E. H. Chowdhury, Karen J. Mullinger, Richard W. Bowtell, “Simultaneous EEG-fMRI: evaluating the effect of the cabling configuration on the gradient artefact”, Physics in Medicine and Biology, IOP Publishing, Vol-60:12, 2015, N 241-250. (IF-2.761, Q1, Scopus Indexed)

2014 (5):

184. Karen J. Mullinger, Muhammad E. H. Chowdhury, Richard W. Bowtell, “Investigating the effect of modifying the EEG cap lead configuration on the gradient artefact in simultaneous EEG-fMRI”, Frontiers in Neuroscience, section Brain Imaging Methods, Vol-8:226, 2014, P. 1-10. (IF-3.398, Q1, Scopus Indexed)

185. Muhammad E. H. Chowdhury, Karen J. Mullinger, Paul M. Glover, Richard W. Bowtell, “Reference Layer Artefact Subtraction (RLAS): a novel method of minimizing EEG artefacts during simultaneous fMRI”, Neuroimage, Elsevier Publications, Vol- 84, 2014, P. 307-319. (IF-6.357, Q1, Scopus Indexed)

186. Md. Enamul Hoque Chowdhury, Belayat Hossain, Farzana Islam & Shahida Rafique “Analysis of fMRI data for Statistical Activation Mapping”, Universal Journal of Biomedical Engineering, Horizon Research Publishings, USA, Vol. 2 (1), 2014, P. 9-13. (Q4)

187. Omar Asif, Md. Belayat Hossain, Mamun Hasan, Mir Toufikur Rahman, Muhammad E. H. Chowdhury, “Fire-Detectors Review and Design of an Automated, Quick Responsive Fire-Alarm System Based on SMS”, in the International Journal of Communications, Network and System Sciences, Vol- 7(9), 2014, P. 386-395.(Q4, Google Scholar Indexed)

188. Md. Belayat Hossain, Mir Toufikur Rahman, Omar Asif, Md. Ashfaqur Rahman,  Md. Enamul Hoque Chowdhury, “Broadband over Power Line (BPL): An Emerging Technology for Bangladesh”, in the International Journal of Communications, Network and System Sciences, Vol- 7(9), 2014, P. 346-354. (Q4, Google Scholar Indexed) 

2011(3):

189. Bulbul Ahmed, Arif Ul Alam, Md. Abdullah-Al-Mamun, Md. Enamul Hoque Chowdhury and Tamnun E Mursalin "Analysis of Visual Cortex Event Related FMRI Data using ICA Decomposition" in the International Journal of Biomedical Engineering and Technology, Inderscience Publications, Vol-7(4), 2011, P. 365-376. (Q4, Scopus Indexed)

190. Md. Belayat Hossain, Md. Nahid Hossain, Md. Enamul Hoque Chowdhury, Md. Habibur Rahman “Design and Development of Microcontroller Based Electronic Queue Control Systems”, Dhaka University Journal of Applied Science & Engineering, ISSN 2218-7413, Vol. 2 No. 1, July, 2011, P. 11-15. (Q4)

191. Md. Shafiul Islam, Md. Omar Faruk, Kh. Farzana Islam and Md. Enamul Hoque Chowdhury, “Simulation of the Mathematical Modelling of a Double-Layer Capacitor using PSIM Software” in the Journal of Applied Science and Engineering of University of Dhaka, ISSN 2218-7413, Vol.1(2), Jan-2011, P. 141-145. (Q4)

2010 (3):

192. Md. Shafiul Islam, Saadia Binte Alam, Rabeya Ferdousy, Md. Enamul Hoque Chowdhury, “Analysis of morphological brain change of Alzheimer disease (AD) patients” in the Canadian Centre of Science and Education, Vol. 2(II), Nov, 2010, P. 148-155. (Q3)

193. Md. Enamul Hoque Chowdhury, Shahida Rafique, “A Proposed Interleaved Echo Planer Imaging Technique for High Resolution fMRI.” in the Dhaka University Journal of Science, Vol. 59(1), September, 2010; P. 147-152. (Q4)

194. Md. Enamul Hoque Chowdhury, Md. Abdul Kader Chowdhury, Md. Ashraful Islam, R.K. Mazumder, “Design of a Single Phase Sine-Triangle Pulse Width Modulation (SPWM) Multi-level Inverter using PSIM” in the Dhaka University Journal of Applied Science and Engineering, ISSN 2218-7413, Vol. 1 No. 1, July, 2010, P. 29-33. (Q4)

2008 (1):

195. Md. Enamul Hoque Chowdhury, Tanvir Atahary, Md. Shafiuzzaman Khan Khadem, "Design and Development of Microcontroller Based SMS Gateway for GSM Mobile”, in the Journal of Bangladesh Electronics Society, Vol. 8(I-II), June-Dec, 2008, P. 71-78. (Q4)

2005 (1):

196. Asif Anwar, Md. Enamul Hoque Chowdhury, Rafia Akhter, S. K. Aditya and R. K. Mazumder, “Progress and Prospects of Supercapacitors as Alternate DC Power Storage Device”, in the Journal of Bangladesh Electronics Society, Vol. 5(II), Dec-2005, P. 121-127. (Q4)