Bryar Shareef

Bryar Shareef

Assistant Professor

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Posts

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Blog Post number 4

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Blog Post number 1

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portfolio

publications

Monte Carlo Simulations on Intel Xeon Phi: Offload and Native Mode

B. Shareef, E. de Doncker, J. Kapenga. Monte Carlo Simulations on Intel Xeon Phi: Offload and Native Mode. IEEE High Performance Extreme Computing Conference (HPEC), 2015.

Toward a Secure IoT Architecture

R. E. Hiromoto, M. Haney, A. Vakanski, B. Shareef. Toward a Secure IoT Architecture. In: Advanced Control Techniques in Complex Engineering Systems: Theory and Applications, 2019.

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

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

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.

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

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

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

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.

BUSTR: Breast Ultrasound Text Reporting with a Descriptor-Aware Vision-Language Model

R. Mohammed, M. Attin, B. Shareef. BUSTR: Breast Ultrasound Text Reporting with a Descriptor-Aware Vision-Language Model. arXiv:2511.20956, 2025.

Promise and Peril of Artificial Intelligence: Digital Monoculturalism in Robotic World

K. Batra, R. Batra, Y. Guo, M. Attin, B. Shareef. Promise and Peril of Artificial Intelligence: Digital Monoculturalism in Robotic World. Health, 2(4):210–214, 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.

Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review

M. Attin, B. Shareef, N. Appiah-Agyei, F. M. Rini, X. Goodman, L. Bredesky, et al. Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: Protocol for a Scoping Review. JMIR Research Protocols, 14(1):e69716, 2025.

Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth

F. F. Khouzani, A. K. Shaw, P. La Plante, B. M. Shareef, L. Gewali. Machine Learning-Driven Analysis of kSZ Maps to Predict CMB Optical Depth. arXiv:2511.04770, 2025.

XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision–Language Learning

R. Mallina, B. Shareef. XBusNet: Text-Guided Breast Ultrasound Segmentation via Multimodal Vision–Language Learning. Diagnostics, 15(22):2849, 2025.

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.” Under review, 2025.

Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review Protocol

Mina Attin*, Bryar Shareef, Nelson Appiah-Agyei, Farzana Mahamud Rini, Xan Goodman, Lauren Bredesky, Jonathan Chavez, Rawa Mohammed, and Kavita Batra. “Predicting In-Hospital Cardiac Arrest Using Machine Learning Models: A Scoping Review Protocol.” Under review (Resuscitation), 2025.

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