Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review J Bai, R Posner, T Wang, C Yang, S Nabavi Medical image analysis 71, 102049, 2021 | 150 | 2021 |
Single-cell classification using graph convolutional networks T Wang, J Bai, S Nabavi BMC bioinformatics 22, 1-23, 2021 | 50 | 2021 |
Molecular dynamics simulation to uncover the mechanisms of protein instability during freezing T Duran, B Minatovicz, J Bai, D Shin, H Mohammadiarani, B Chaudhuri Journal of Pharmaceutical Sciences 110 (6), 2457-2471, 2021 | 28 | 2021 |
Feature fusion Siamese network for breast cancer detection comparing current and prior mammograms J Bai, A Jin, T Wang, C Yang, S Nabavi Medical Physics 49 (6), 3654-3669, 2022 | 14 | 2022 |
Weakly-supervised deep learning model for prostate cancer diagnosis and gleason grading of histopathology images MM Behzadi, M Madani, H Wang, J Bai, A Bhardwaj, A Tarakanova, ... Biomedical Signal Processing and Control 95, 106351, 2024 | 10 | 2024 |
Applying graph convolution neural network in digital breast tomosynthesis for cancer classification J Bai, A Jin, A Jin, T Wang, C Yang, S Nabavi Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 9 | 2022 |
A deep learning approach for ventricular arrhythmias classification using microcontroller Y Agrignan, S Zhou, J Bai, S Islam, S Nabavi, M Xie, C Ding 2023 24th International Symposium on Quality Electronic Design (ISQED), 1-5, 2023 | 5 | 2023 |
Combining multi-view ensemble and surrogate lagrangian relaxation for real-time 3D biomedical image segmentation on the edge S Zhou, X Xu, J Bai, M Bragin Neurocomputing 512, 466-481, 2022 | 5 | 2022 |
Molecular dynamics modeling based investigation of the effect of freezing rate on lysozyme stability T Duran, B Minatovicz, R Bellucci, J Bai, B Chaudhuri Pharmaceutical Research 39 (10), 2585-2596, 2022 | 5 | 2022 |
Semi-supervised classification of disease prognosis using cr images with clinical data structured graph J Bai, B Li, S Nabavi Proceedings of the 13th ACM international conference on bioinformatics …, 2022 | 5 | 2022 |
3D Biological/Biomedical image registration with enhanced feature extraction and outlier detection S Hamzehei, J Bai, G Raimondi, R Tripp, L Ostroff, S Nabavi Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | 3 | 2023 |
Exploring latent space for generating peptide analogs using protein language models PY Liang, X Huang, T Duran, AJ Wiemer, J Bai 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2024 | 2 | 2024 |
E (3)-invariant diffusion model for pocket-aware peptide generation PY Liang, J Bai arXiv preprint arXiv:2410.21335, 2024 | 1 | 2024 |
Unsupervised feature correlation model to predict breast abnormal variation maps in longitudinal mammograms J Bai, A Jin, M Adams, C Yang, S Nabavi Computerized Medical Imaging and Graphics 113, 102341, 2024 | 1 | 2024 |
Advanced Feature Extraction and Outlier Detection for 3D Biological/Biomedical Image Registration S Hamzehei, J Bai, G Raimondi, R Tripp, L Ostroff, S Nabavi IEEE Transactions on Computational Biology and Bioinformatics, 2025 | | 2025 |
Hybrid transformer‐based model for mammogram classification by integrating prior and current images AA Jeny, S Hamzehei, A Jin, SA Baker, T Van Rathe, J Bai, C Yang, ... Medical Physics, 2025 | | 2025 |
Conjoined twin network for treatment and analysis S Nabavi, C Yang, J Bai US Patent App. 18/821,269, 2024 | | 2024 |
Uncovering the Mechanism of Hepatotoxiciy of PFAS Targeting L-FABP Using GCN and Computational Modeling L Jividen, T Duran, XZ Niu, J Bai arXiv preprint arXiv:2409.10370, 2024 | | 2024 |
Conjoined twin network for treatment and analysis S Nabavi, C Yang, J Bai US Patent App. 18/096,700, 2023 | | 2023 |
Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images M Mahdi Behzadi, M Madani, H Wang, J Bai, A Bhardwaj, A Tarakanova, ... arXiv e-prints, arXiv: 2212.12844, 2022 | | 2022 |