Publications

Peer- reviewed Journal articles (* denotes lead/corresponding authorship)

1. Musha A, Hasnat R, Al Mamun A, Hossain MS, Hossen MJ, Ghosh T. A Systematic Review of Ulcer Detection Methods in Wireless Capsule Endoscopy. Informatics in Medicine Unlocked. 2024 Nov 13:101600.

2. Domfe CA, McCrory MA, Sazonov E, Ghosh T, Raju V, Frost G, Steiner-Asiedu M, Sun M, Jia W, Baranowski T, Lo B. Objective assessment of shared plate eating using a wearable camera in urban and rural households in Ghana. Frontiers in Nutrition. 2024 Sep 12;11:1428771. (Impact Factor: 4.0)

3. Ghosh T*, Han Y, Raju V, Hossain D, McCrory MA, Higgins J, Boushey C, Delp EJ, Sazonov E. Integrated image and sensor-based food intake detection in free-living. Scientific Reports. 2024 Jan 18;14(1):1665. (Impact Factor: 3.8).

4. Musha A, Hasnat R, Mamun AA, Ping EP, Ghosh T*. Computer-Aided Bleeding Detection Algorithms for Capsule Endoscopy: A Systematic Review. Sensors. 2023 Aug 14;23(16):7170. (Impact Factor: 3.4).

5. Breit M, Padia J, Marden T, Forjan D, Zhaoxing P, Zhou W, Ghosh T, Thomas G, McCrory MA, Sazonov E, Higgins J. The spectrum of eating environments encountered in free living adults documented using a passive capture food intake wearable device. Frontiers in Nutrition. 2023 May 11;10:1119542. (Impact Factor: 4.0).

6. Ghosh T*, McCrory MA, Marden TJ, Higgins J, Anderson AK, Domfe CA, Jia W, Lo BP, Frost G, Steiner-Asiedu M, Baranowski T. I2N: Image to Nutrients, A Sensor Guided Semi-Automated Tool for Annotation of Images for Nutrition Analysis of Eating Episodes. Frontiers in Nutrition. 2023 Jul 27;10:1191962. (Impact Factor: 4.0).

7. Hossain D, Ghosh T, Haider Imtiaz M, Sazonov E. Ear Canal Pressure Sensor for Food Intake Detection. Frontiers in Electronics.;4:1173607. (Impact Factor: 1.9).

8. Doulah A, Ghosh T, Hossain D, Marden T, Parton JM, Higgins JA, et al. Energy intake estimation using a novel wearable sensor and food images in a laboratory (pseudo-free-living) meal setting: quantification and contribution of sources of error. International Journal of Obesity. 2022;46(11):2050–7. (Impact Factor: 4.2).

9. Simon SL, Pan Z, Marden T, Zhou W, Ghosh T, Hossain D, et al. Body mass index and variability in meal duration and association with rate of eating. Frontiers in Nutrition. 2022;9. (Impact Factor: 4.0).

10. Dasgupta S, Ghosh T, Rahman M. A reinforcement learning approach for global navigation satellite system spoofing attack detection in autonomous vehicles. Transportation research record. 2022 Dec;2676(12):318-30. (Impact Factor: 1.6).

11. Pan Z, Forjan D, Marden T, Padia J, Ghosh T, Hossain D, et al. Improvement of methodology for manual energy intake estimation from passive capture devices. Frontiers in Nutrition. 2022;9. (Impact Factor: 4.0).

12. Ghosh T*, Hossain D, Sazonov E. Detection of Food Intake Sensor’s Wear Compliance in Free-Living. IEEE Sensors Journal. 2021;21(24):27728–35. (Impact Factor: 4.3).

13. Al Mamun A, Em PP, Ghosh T, Hossain MM, Hasan MG, Sadeque MG. Bleeding recognition technique in wireless capsule endoscopy images using fuzzy logic and principal component analysis. International Journal of Electrical and Computer Engineering. 2021;11(3):2688. (Impact Factor: 1.2).

14. Ghosh T*, Chakareski J. Deep transfer learning for automated intestinal bleeding detection in capsule endoscopy imaging. Journal of Digital Imaging. 2021;34(2):404–17. (Impact Factor: 2.9).

15. Hossain D, Ghosh T, Sazonov E. Automatic Count of Bites and Chews From Videos of Eating Episodes. IEEE Access. 2020;8:101934–45. (Impact Factor: 3.4).

16. Doulah A, Ghosh T, Hossain D, Imtiaz MH, Sazonov E. “Automatic ingestion monitor version 2”–a novel wearable device for automatic food intake detection and passive capture of food images. IEEE Journal of Biomedical and Health Informatics. 2020;25(2):568–76. (Impact Factor: 6.7).

17. Ghosh T*, Fattah SA, Wahid KA. Automatic Computer Aided Bleeding Detection Scheme for Wireless Capsule Endoscopy (WCE) Video Based on Higher and Lower Order Statistical Features in a Composite Color. Journal of Medical and Biological Engineering. 2018;38(3):482–96. (Impact Factor: 1.6).

18. Ghosh T*, Fattah SA, Wahid KA, Zhu WP, Ahmad MO. Cluster based statistical feature extraction method for automatic bleeding detection in wireless capsule endoscopy video. Computers in biology and medicine. 2018;94:41–54. (Impact Factor: 7.0).

19. Ghosh T*, Fattah SA, Wahid KA. CHOBS: Color histogram of block statistics for automatic bleeding detection in wireless capsule endoscopy video. IEEE journal of translational engineering in health and medicine. 2018;6:1–12. (Impact Factor: 3.7).

Peer-reviewed conference articles (* denotes lead/corresponding authorship)

1. Mahmud S, Islam BU, Anik NH, Ghosh T. Diabetes Prediction: A Comparative Analysis of Machine Learning Algorithms with SMOTE. In2024 IEEE International Conference on Computing, Applications and Systems (COMPAS) 2024 Sep 25 (pp. 1-6). IEEE.

2. Fard SE, Ghosh T, Hossain D, McCrory MA, Thomas G, Higgins J, Jia W, Baranowski T, Steiner-Asiedu M, Anderson AK, Sun M. Development of a Method for Compliance Detection in Wearable Sensors. In 2023 International Conference on Electrical, Computer and Energy Technologies (ICECET) 2023 Nov 16 (pp. 1-5). IEEE.

3. Islam A, Sarkar AK, Ghosh T*. Comparative Study of the Effect of Various Color Models on Classification of Parasitic Eggs. In 2022 4th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE) 2022 Dec 29 (pp. 1-4). IEEE.

4. Ghosh T*, Sazonov E. A Comparative Study of Deep Learning Algorithms for Detecting Food Intake. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2022. p. 2993–6.

5. Hossain K, Ghosh T, Sazonov E. Development of Cloud-based Infrastructure for Real Time Analysis of Wearable Sensor Signal. In: 2022 IEEE World AI IoT Congress (AIIoT). IEEE; 2022. p. 565–70.

6. Musha A, Hasnat R, Al Mamun A, Ghosh T*. Deep Learning-Based Comparative Study to Detect Polyp Removal in Endoscopic Images. In: 2022 International Conference on Emerging Smart Computing and Informatics (ESCI). IEEE; 2022. p. 1–5.

7. Hasnat R, Al Mamun A, Musha A, Ghosh T*. Computer-Aided Polyp Removal Detection in Endoscopic Images. In: 2021 3rd International Conference on Electrical & Electronic Engineering (ICEEE). IEEE; 2021. p. 37–40.

8. Islam A, Sarkar AK, Ghosh T*. EEG Signal Classification for Mental Stress During Arithmetic Task Using Wavelet Transformation and Statistical Features. In: 2021 International Conference on Automation, Control and Mechatronics for Industry 40 (ACMI). IEEE; 2021. p. 1–6.

9. Ghosh T*, Hossain D, Imtiaz M, McCrory MA, Sazonov E. Implementing Real-Time Food Intake Detection in a Wearable System Using Accelerometer. In: 2020 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE; 2021. p. 439–43.

10. Han Y, Yarlagadda SK, Ghosh T, Zhu F, Sazonov E, Delp EJ. Improving Food Detection For Images From a Wearable Egocentric Camera. Electronic Imaging. 2021;2021(8):286-1-286–7.

11. Das HS, Li S, Chowdhury MFF, Ghosh T. Game theoretical energy management of EV fast charging station with V2G capability. In: 2020 IEEE International Conference on Power and Energy (PECon). IEEE; 2020. p. 344–9.

12. Hossain D, Imtiaz MH, Ghosh T, Bhaskar V, Sazonov E. Real-Time Food Intake Monitoring Using Wearable Egocnetric Camera. In: 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE; 2020. p. 4191–5.

13. Hossain M, Al Mamun A, Ghosh T, Hasan M, Tahabilder A. Ulcer detection in wireless capsule endoscopy using locally computed features. In: International Conference on Cyber Security and Computer Science. Springer, Cham; 2020. p. 491–502.

14. Ghosh T*, Sazonov E, Chandler-Laney PC. Sensor System for Open/Closed Eye Detection in Infants During Feeding. In: 2019 IEEE SENSORS. IEEE; 2019. p. 1–4.

15. Ghosh T*, Li L, Chakareski J. Effective Deep Learning for Semantic Segmentation Based Bleeding Zone Detection in Capsule Endoscopy Images. In: 2018 25th IEEE International Conference on Image Processing (ICIP). IEEE; 2018. p. 3034–8.

16. Kundu AK, Rizve MN, Ghosh T, Fattah SA. A segmented color plane histogram based feature extraction scheme for automatic bleeding detection in wireless capsule endoscopy. In: 2016 IEEE Students’ Technology Symposium (TechSym). IEEE; 2016. p. 245–9.

17. Kundu AK, Rizve MN, Ghosh T, Fattah SA, Shahnaz C. A histogram based scheme in YIQ domain for automatic bleeding image detection from wireless capsule endoscopy. In: 2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE). IEEE; 2015. p. 455–8.

18. Ghosh T*, Fattah S, Shahnaz C, Kundu A, Rizve M. Block based histogram feature extraction method for bleeding detection in wireless capsule endoscopy. In: 2015 IEEE Region 10 Conference (TENCON). 2015. p. 1–4.

19. Ghosh T*, Fattah SA, Bashar SK, Shahnaz C, Wahid KA, Zhu WP, et al. An automatic bleeding detection technique in wireless capsule endoscopy from region of interest. In: 2015 IEEE International Conference on Digital Signal Processing (DSP). 2015. p. 1293–7.

20. Ghosh T*, Bashar SK, Fattah SA, Shahnaz C, Wahid KA. An automatic bleeding detection scheme in wireless capsule endoscopy based on statistical features in hue space. In 2014 17th International Conference on Computer and Information Technology (ICCIT) 2014 Dec 22 (pp. 354-357). IEEE.

21. Ghosh T*, Bashar SK, Fattah SA, Shahnaz C, Wahid KA. A feature extraction scheme from region of interest of wireless capsule endoscopy images for automatic bleeding detection. In 2014 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) 2014 Dec 15 (pp. 256-260). IEEE.

22. Ghosh T*, Fattah SA, Shahnaz C, Wahid KA. An automatic bleeding detection scheme in wireless capsule endoscopy based on histogram of an RGB-indexed image. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE; 2014. p. 4683–6.

23. Ghosh T*, Bashar SK, Alam MS, Wahid K, Fattah SA. A statistical feature based novel method to detect bleeding in wireless capsule endoscopy images. In: 2014 International Conference on Informatics, Electronics & Vision (ICIEV). IEEE; 2014. p. 1–4.

24. Ghosh T*, Fattah SA, Wahid KA. Automatic bleeding detection in wireless capsule endoscopy based on RGB pixel intensity ratio. In: 2014 International Conference on Electrical Engineering and Information & Communication Technology. IEEE; 2014. p. 1–4.

25. Halder PK, Paul N, Ghosh T, Khan I, Mondal P. Progress scenario of solar home systems (SHSs) in Bangladesh. In: Proceedings of 4th Global Engineering, Science and Technology Conference. 2013. p. 28.

26. Fattah SA, Ghosh T, Das AK, Goswami R, Shafin A, Jameel MM, et al. An approach for formant based speech recognition in noise. TENCON 2012 IEEE Region. 2012;10:1–4. 

Abstracts:

1. Ge H, Sazonov E, Ghosh T, Lin Y, Hoekstra I, Patel M, Ye T, Anyaibe S, Sellinger I, Chen S, Chitalia V. Feasibility of Using a Wearable Camera, the Automatic Ingestion Monitor-2 (AIM-2), for Dietary Intake Assessment in Patients with Chronic Kidney Disease. Current Developments in Nutrition. 2024 Jul 1;8.

2. McCrory MA, Siu K, Yang X, Ghosh T, Doulah A, Higgins J, Parton J, Wilkens LR, Ge H, Boushey CJ, Zhu F. Meal Timing From Self-Report Dietary Assessment Methods Compared With That Based on Image Time Stamps Captured by a Wearable Camera. Current Developments in Nutrition. 2024 Jul 1;8.

3. Anyaibe S, Anderson AK, Domfe CA, Sazonov E, Ghosh T, Frost G, Steiner-Asiedu M, Sun M, Jia W, Baranowski T, Lo B. Characterizing the Timing of Eating Among Urban and Rural Ghanaian Households Using a Wearable Camera, the Automatic Ingestion Monitor v2 (AIM-2). Current Developments in Nutrition. 2024 Jul 1;8.

4. Liao S, Ghosh T, Hossain D, Doulah A, Marden T, Higgins J, et al. Effect of Gradually Reduced Portion Size Estimation Training on Portion Size and Daily Energy Intake Estimation Accuracy. Current Developments in Nutrition. 2022;6(Supplement_1):773–773.

5. Anderson A, McCrory M, Steiner-Asiedu M, Ansong R, Lewis C, Ghosh T, et al. Household Food-Related Assessment Using an Innovative Passive Dietary Assessment Device in Ghana. Current Developments in Nutrition. 2020;4(Supplement_2):1157–1157.

6. McCrory M, Sun M, Sazonov E, Frost G, Anderson A, Jia W, Ghosh T, et al. Methodology for objective, passive, image-and sensor-based assessment of dietary intake, meal-timing, and food-related activity in Ghana and Kenya (P13-028-19). Current developments in nutrition. 2019;3(Supplement_1):nzz036. P13-028-19.

7. Anderson AK, McCrory MA, Steiner-Asiedu M, Ansong RS, Lewis C, Ghosh T, et al. A Case Study of Household Food-Related Assessment Using an Innovative Passive Dietary Assessment Device in Mampong-Akuapem, Ghana. assessment. 2019;6:7.