Publications

• Su, Z., Tavolara, T. E., Carreno-Galeano, G., Lee, S. J., Gurcan, M. N., & Niazi, M. K. K. (2022). Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images. Medical Image Analysis.
• Su, Z., Niazi, M. K. K., Tavolara, T. E., Niu, S., Tozbikian, G. H., Wesolowski, R., & Gurcan, M. N. (2023). BCR-Net: A deep learning framework to predict breast cancer recurrence from histopathology images. Plos one.
• Su, Z., Kumar, S., Tavolara, T. E., Gurcan, M. N., Segal, S., & Niazi, M. K. K. (2023). Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models. In Medical Imaging 2023: Computer-Aided Diagnosis. SPIE.
• Su, Z., Rezapour, M., Sajjad, U., Gurcan, M. N., & Niazi, M. K. K. (2023). Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images. Computers in Biology and Medicine.
• Tavolara, T. E., Su, Z., Gurcan, M. N., & Niazi, M. K. K. (2023). One label is all you need: Interpretable AI-enhanced histopathology for oncology. Seminars in Cancer Biology.
• Sajjad, U., Rezapour, M., Su, Z., Tozbikian, G. H., Gurcan, M. N., & Niazi, M. K. K. (2023). NRK-ABMIL: Subtle Metastatic Deposits Detection for Predicting Lymph Node Metastasis in Breast Cancer Whole-Slide Images. Cancers.

Papers under review

• Su, Z., Rezapour, M., Sajjad, U., Niu, S., Gurcan, M. N., & Niazi, M. K. K. (2023). Cross-attention-based multiple instance learning with saliency inference for predicting cancer metastasis on whole slide images. arXiv preprint arXiv:2309.09412.