Ziyu Su

According to our database, Ziyu Su authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization.

Tianyang Wang, Ziyu Su, Abdul Rehman Akbar, Usama Sajjad, Lina Gokhale, Charles Rabolli, Wei Chen, Anil Parwani, Muhammad Khalid Khan Niazi

CoRR, April, 2026

RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation.

Yixin Chen, Ziyu Su, Hikmat Khan, Muhammad Khalid Khan Niazi

CoRR, March, 2026

HistoMet: A Pan-Cancer Deep Learning Framework for Prognostic Prediction of Metastatic Progression and Site Tropism from Primary Tumor Histopathology.

Yixin Chen, Ziyu Su, Lingbin Meng, Elshad Hasanov, Wei Chen, Anil Parwani, M. Khalid Khan Niazi

CoRR, February, 2026

H&E to Oncotype DX: Predicting recurrence risk in HR+/HER2- breast cancer.

Onur Can Koyun, Yongxin Guo, Ziyu Su, Hao Lu, Mostafa Rezapour, Robert Wesolowski, Gary Tozbikian, M. Khalid Khan Niazi, Metin N. Gurcan

Expert Syst. Appl., 2026

2025

Progressive Translation of H&E to IHC with Enhanced Structural Fidelity.

Yuhang Kang, Ziyu Su, Tianyang Wang, Zaibo Li, Wei Chen, Muhammad Khalid Khan Niazi

CoRR, November, 2025

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training.

Usman Afzaal, Ziyu Su, Usama Sajjad, Hao Lu, Mostafa Rezapour, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

CoRR, October, 2025

Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images.

Usama Sajjad, Abdul Rehman Akbar, Ziyu Su, Deborah Knight, Wendy L. Frankel, Metin N. Gurcan, Wei Chen, Muhammad Khalid Khan Niazi

CoRR, October, 2025

Streamline pathology foundation model by cross-magnification distillation.

Ziyu Su, Abdul Rehman Akbar, Usama Sajjad, Anil V. Parwani, Muhammad Khalid Khan Niazi

CoRR, September, 2025

CellEcoNet: Decoding the Cellular Language of Pathology with Deep Learning for Invasive Lung Adenocarcinoma Recurrence Prediction.

Abdul Rehman Akbar, Usama Sajjad, Ziyu Su, Wencheng Li, Fei Xing, Jimmy Ruiz, Wei Chen, Muhammad Khalid Khan Niazi

CoRR, August, 2025

Predicting Neo-Adjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images.

Hikmat Khan, Ziyu Su, Huina Zhang, Yihong Wang, Bohan Ning, Shi Wei, Hua Guo, Zaibo Li, Muhammad Khalid Khan Niazi

CoRR, May, 2025

HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited data.

Usman Afzaal, Ziyu Su, Usama Sajjad, Thomas Stack, Hao Lu, Shuo Niu, Abdul Rehman Akbar, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

Patterns, 2025

Corrigendum to "Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge" [Medical Image Analysis, April 2022, Volume 77, 102333].

Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth

Medical Image Anal., 2025

BPMambaMIL: A bio-inspired prototype-guided multiple instance learning for oncotype DX risk assessment in histopathology.

Yongxin Guo, Ziyu Su, Onur Can Koyun, Hao Lu, Robert Wesolowski, Gary Tozbikian, M. Khalid Khan Niazi, Metin N. Gurcan

Comput. Methods Programs Biomed., 2025

2024

Cross-Attention-Based Saliency Inference for Predicting Cancer Metastasis on Whole Slide Images.

Ziyu Su, Mostafa Rezapour, Usama Sajjad, Shuo Niu, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

IEEE J. Biomed. Health Informatics, December, 2024

Computational Pathology for Accurate Prediction of Breast Cancer Recurrence: Development and Validation of a Deep Learning-based Tool.

Ziyu Su, Yongxin Guo, Robert Wesolowski, Gary Tozbikian, Nathaniel S. O'Connell, M. Khalid Khan Niazi, Metin N. Gurcan

CoRR, 2024

2023

Attention2Minority: A salient instance inference-based multiple instance learning for classifying small lesions in whole slide images.

Ziyu Su, Mostafa Rezapour, Usama Sajjad, Metin Nafi Gürcan, Muhammad Khalid Khan Niazi

Comput. Biol. Medicine, December, 2023

Predicting obstructive sleep apnea severity from craniofacial images using ensemble machine learning models.

Ziyu Su, Sandhya Kumar, Thomas E. Tavolara, Metin N. Gurcan, Scott Segal, M. Khalid Khan Niazi

Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

2022

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.

Ziyu Su, Thomas E. Tavolara, Gabriel Carreno-Galeano, Sang Jin Lee, Metin N. Gurcan, M. Khalid Khan Niazi

Medical Image Anal., 2022

Detection and analysis of cerebral aneurysms based on X-ray rotational angiography - the CADA 2020 challenge.

Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Hüllebrand, Jan Brüning, Tabea Kossen, Boris Pfahringer, Jens Schaller, Andreas Spuler, Titus Kühne, Yizhuan Jia, Xuesong Li, Suprosanna Shit, Bjoern H. Menze, Ziyu Su, Jun Ma, Ziwei Nie, Kartik Jain, Yanfei Liu, Yi Lin, Anja Hennemuth

Medical Image Anal., 2022

2020

3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge.

Ziyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun, Xuesong Li

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020

Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet.

Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun, Xuesong Li

Proceedings of the Cerebral Aneurysm Detection - First Challenge, 2020