Research contributions
Peer-reviewed articles, conference papers, protocols, abstracts, and selected preprints across medical imaging, multimodal learning, clinical AI, and scientific computing.
2026
Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review
M. Attin, B. Shareef, N. Appiah-Agyei, F. Mahamud Rini, X. Goodman, L. Bredesky, J. A. Chavez, R. Mohammed, and K. Batra. Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review. Artificial Intelligence in Emergency Medicine, 1:100007, 2026.
Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth τ
F. Farhadi Khouzani, A. K. Shaw, P. La Plante, B. M. Shareef, and L. Gewali. Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth τ. Publications of the Astronomical Society of the Pacific, 138(2):024001, 2026.
NullBUS: Multimodal Mixed-Supervision for Breast Ultrasound Segmentation via Nullable Global–Local Prompts
Raja Mallina and Bryar Shareef. NullBUS: Multimodal Mixed-Supervision for Breast Ultrasound Segmentation via Nullable Global–Local Prompts. Accepted at IEEE EMBC, 2026.
2025
Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review
M. Attin, B. Shareef, N. Appiah-Agyei, F. Mahamud Rini, X. Goodman, L. Bredesky, J. A. Chavez, R. Mohammed, and K. Batra. Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review. JMIR Research Protocols, 14:e69716, 2025.
Abstract Sat304: Predicting In-Hospital Cardiac Arrest Using Serum Electrolytes and Hemoglobin: A Machine Learning Approach
M. Attin, B. Shareef, R. Sagaribay, J. Basilio, K. Batra. Predicting In-Hospital Cardiac Arrest Using Serum Electrolytes and Hemoglobin: A Machine Learning Approach (Abstract Sat304). Circulation, 152(Suppl_3):ASat304, 2025.
2024
Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model
S. M. Mahim, M. S. Ali, M. O. Hasan, A. A. N. Nafi, A. Sadat, S. Al Hasan, B. Shareef, et al. Unlocking the Potential of XAI for Improved Alzheimer’s Disease Detection and Classification Using a ViT-GRU Model. IEEE Access, 12:8390–8412, 2024.
2023
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Shareef, B., Xian, M., Vakanski, A., Wang, H. (2023). Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network. In: Greenspan, H., et al. Medical Image Computing and Computer Assisted Intervention – MICCAI 2023. MICCAI 2023. Lecture Notes in Computer Science, vol 14223. Springer, Cham. https://doi.org/10.1007/978-3-031-43901-8_33
SIAN: style-guided instance-adaptive normalization for multi-organ histopathology image synthesis
H. Wang, M. Xian, A. Vakanski and B. Shareef, "SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis," 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI), Cartagena, Colombia, 2023, pp. 1-5, doi: 10.1109/ISBI53787.2023.10230507.
A Benchmark for Breast Ultrasound Image Classification
Shareef, Bryar Mustafa and Xian, Min and Sun, Shoukun and Vakanski, Aleksandar and Ding, Jianrui and Ning, Chunping and Cheng, Heng-Da, A Benchmark for Breast Ultrasound Image Classification. Available at SSRN: https://ssrn.com/abstract=4339660 or http://dx.doi.org/10.2139/ssrn.4339660
2022
ESTAN: Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation
Shareef, B.; Vakanski, A.; Freer, P.E.; Xian, M. ESTAN: "Enhanced Small Tumor-Aware Network for Breast Ultrasound Image Segmentation." Healthcare 2022, 10, 2262. https://doi.org/10.3390/healthcare10112262
BUSIS: A Benchmark for Breast Ultrasound Image Segmentation
Zhang, Y.; Xian, M.; Cheng, H.-D.; Shareef, B.; Ding, J.; Xu, F.; Huang, K.; Zhang, B.; Ning, C.; Wang, Y. BUSIS: A Benchmark for Breast Ultrasound Image Segmentation. Healthcare 2022, 10, 729. https://doi.org/10.3390/healthcare10040729
2020
Stan: Small tumor-aware network for breast ultrasound image segmentation
B. Shareef, M. Xian and A. Vakanski, "Stan: Small Tumor-Aware Network for Breast Ultrasound Image Segmentation. " 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI), Iowa City, IA, USA, 2020, pp. 1-5, doi: 10.1109/ISBI45749.2020.9098691