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Ziyu Su

Showing results (11-20 of 25) with videos related to

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Research Square|February 6, 2026
Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma PatientsAbdul Rehman Akbar, Usama Sajjad, Ziyu Su, et al.
Computer Methods and Programs in Biomedicine|September 11, 2025
BPMambaMIL: A bio-inspired prototype-guided multiple instance learning for oncotype DX risk assessment in histopathologyYongxin Guo, Ziyu Su, Onur C Koyun, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2024
Enhancing Colorectal Cancer Tumor Bud Detection Using Deep Learning from Routine H&E-Stained SlidesUsama Sajjad, Wei Chen, Mostafa Rezapour, et al.
Arxiv|July 31, 2025
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic ImagesHikmat Khan, Ziyu Su, Huina Zhang, et al.
Cancers|August 14, 2025
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic ImagesHikmat Khan, Ziyu Su, Huina Zhang, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 20, 2024
Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal CancerZiyu Su, Wei Chen, Sony Annem, et al.
Patterns (New York, N.Y.)|August 22, 2025
HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited dataUsman Afzaal, Ziyu Su, Usama Sajjad, et al.
Cancers|September 14, 2024
Deep Learning Model for Predicting Lung Adenocarcinoma Recurrence from Whole Slide ImagesZiyu Su, Usman Afzaal, Shuo Niu, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 17, 2024
Few-shot Tumor Bud Segmentation Using Generative Model in Colorectal CarcinomaZiyu Su, Wei Chen, Preston J Leigh, et al.
Cancers|April 14, 2026
Morphology-Aware Prognostic Model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole-Slide Images: A Study Using Multi-Center Clinical Trial CohortUsama Sajjad, Abdul Rehman Akbar, Ziyu Su, et al.
Pageof 3

Showing results (11-20 of 25) with videos related to

Sort By:
Pageof 3
Research Square|February 6, 2026
Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma PatientsAbdul Rehman Akbar, Usama Sajjad, Ziyu Su, et al.
Computer Methods and Programs in Biomedicine|September 11, 2025
BPMambaMIL: A bio-inspired prototype-guided multiple instance learning for oncotype DX risk assessment in histopathologyYongxin Guo, Ziyu Su, Onur C Koyun, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 16, 2024
Enhancing Colorectal Cancer Tumor Bud Detection Using Deep Learning from Routine H&E-Stained SlidesUsama Sajjad, Wei Chen, Mostafa Rezapour, et al.
Arxiv|July 31, 2025
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic ImagesHikmat Khan, Ziyu Su, Huina Zhang, et al.
Cancers|August 14, 2025
Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic ImagesHikmat Khan, Ziyu Su, Huina Zhang, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 20, 2024
Adapting SAM to Histopathology Images for Tumor Bud Segmentation in Colorectal CancerZiyu Su, Wei Chen, Sony Annem, et al.
Patterns (New York, N.Y.)|August 22, 2025
HistoChat: Instruction-tuning multimodal vision language assistant for colorectal histopathology on limited dataUsman Afzaal, Ziyu Su, Usama Sajjad, et al.
Cancers|September 14, 2024
Deep Learning Model for Predicting Lung Adenocarcinoma Recurrence from Whole Slide ImagesZiyu Su, Usman Afzaal, Shuo Niu, et al.
Proceedings of Spie--The International Society for Optical Engineering|May 17, 2024
Few-shot Tumor Bud Segmentation Using Generative Model in Colorectal CarcinomaZiyu Su, Wei Chen, Preston J Leigh, et al.
Cancers|April 14, 2026
Morphology-Aware Prognostic Model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole-Slide Images: A Study Using Multi-Center Clinical Trial CohortUsama Sajjad, Abdul Rehman Akbar, Ziyu Su, et al.
Pageof 3