SCI(E) Journal Papers:


[J12] FMF Hossain, H.-Y Wu, S.M. Imtiaz, M.B. Hossain, T. Amgalan, R.K. Shinde, K.-C. Kwon, H.-E. Kim, K.-H. Yoo, N. Kim "U2-Net-Combined End-to-End Unsupervised Learning Method for Implementing Accurate Computer-Generated Phase-Only Hologram", IEEE Access 2025,  DOI: 10.1109/ACCESS.2025.3538978 (IF: 3.4)  

[J11] R.K. Shinde, M.B. Hossain, S.N.R. Rizvi, S.M. Imtiaz, K.-C. Kwon, and N. Kim DermSegNet: smart IoT model for multi-class dermatological lesion diagnosis using adaptive segmentation and improved EfficientNetB3”, Applied Intelligence 2024, DOI: https://doi.org/10.1007/s10489-024-05520-z (IF: 5.3)

[J10] M.B. Hossain, R.K. Shinde, S.M. Imtiaz, FMF Hossain, S.-H. Jeon, K.-C. Kwon, and N. Kim Swin Transformer and the Unet Architecture to Correct Motion Artifacts in Magnetic Resonance Image Reconstruction”, International Journal of Biomedical Imaging 2024, DOI: https://doi.org/10.1155/2024/8972980 (IF: 7.6)

[J9] M.B. Hossain, R.K. Shinde, S. Oh, K.-C. Kwon, and N. Kim A systematic review and identification of the challenges of deep learning techniques for undersampled magnetic resonance image reconstruction”, Sensors 2024, 24(3), pp. 753, DOI: https://doi.org/10.3390/s24030753 (IF: 3.9)

[J8] M.B. Hossain, K.-C. Kwon, R.K. Shinde, S.M. Imtiaz, and N. Kim “A hybrid residual attention convolutional neural network for compressed sensing magnetic resonance image reconstruction”, Diagnostics 2023, 13, 7, pp. 1306, DOI: https://doi.org/10.3390/diagnostics13071306 (IF: 3.6)

[J7] M.B. Hossain, K.-C. Kwon, S.M. Imtiaz, O.-S. Nam, S.-H. Jeon, and N. Kim “De-aliasing and accelerated sparse magnetic resonance image reconstruction using fully dense CNN with attention gates”, Bioengineering 2023, 10, 22, DOI: https://doi.org/10.3390/bioengineering10010022  (IF: 4.6)

[J6] S.M. Imtiaz, K.-C. Kwon, F.M.F. Hossain, M.B. Hossain, R.K. Shinde, S.-K. Gil, and N. Kim, “Enhanced 3D point cloud reconstruction for light field microscopy using U-net-based CNNs”, Computer Systems Science and Engineering, 2023, 47(3),  pp. 2921-2937,  DOI:10.32604/csse.2023.040205 (IF: 2.2) [Link].

[J5] R.K. Shinde, M.S. Alam, M.B. Hossain, S.M. Imtiaz, J. Kim, A.A. Padwal, and N. Kim, “Squeeze-MNet: Precise skin cancer detection model for low computing IoT devices using transfer learning”, Cancers 2023, 15, 12, DOI: 10.3390/cancers15010012 (IF: 5.2) [Link].

[J4] S.M. Imtiaz, K.-C. Kwon, M.B. Hossain, M.S. Alam, S.-H. Jeon, and N. Kim, “Depth estimation for integral imaging microscopy using a 3D–2D CNN with a weighted median filter”, Sensors 2022, 22, pp.5288, DOI:  10.3390/s22145288 (IF: 3.9) [Link].

[J3] M.S. Alam, K.-C. Kwon, S.M. Imtiaz, M.B. Hossain, B.-G. Kang, and N. Kim, “TARNet: An efficient and lightweight trajectory-based air-writing recognition model using a CNN and LSTM network”, Human Behavior and Emerging Technologies 2022, vol. 2022, Article ID 6063779, DOI: 10.1155/1970/6063779 (IF: 10.3) [Link].

[J2] S.M. Imtiaz, K.-C. Kwon, M.S. Alam, M.B. Hossain, N. Changsup, and N. Kim, “Identification and correction of microlens-array error in an integral-imaging-microscopy system”, Current Optics and Photonics 2021, 5(5), pp.524-531, DOI: 10.3807/COPP.2021.5.5.524. (IF: 0.879) [Link].

[J1] M.A. Hossain, M.B. Hossain, M.S. Uddin, S.M. Imtiaz, "Performance analysis of different cryptography algorithms", International Journal of Advanced Research in Computer Science and Software Engineering 2016, 6(3). [Link]