Ruining Deng

Instructor, Weill Cornell Medicine, Cornell University

Joined

February 2021

Names

Ruining Deng (Preferred)

Emails

****@vanderbilt.edu (Confirmed)

****@med.cornell.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Instructor

Weill Cornell Medicine, Cornell University (med.cornell.edu)

2024 – Present

PhD student

Vanderbilt University (vanderbilt.edu)

2021 – 2024

MS student

Vanderbilt University (vanderbilt.edu)

2019 – 2020

Advisors, Relations & Conflicts

Postdoc Advisor

Mert R. Sabuncu

2024 – Present

PhD Advisor

Yuankai Huo

2020 – 2024

Expertise

Digital Pathology

2020 – Present

Medical Image Analysis

2018 – Present

Publications

3D Banff Lesion Scoring for Kidney Transplant Pathology: Feasibility and Utility for Volumetric Quantification
Yanfan Zhu, Juming Xiong, Junchao Zhu, Ruining Deng, Shilin Zhao, Yu Wang, Yaohong Wang, Chongyu Qu, Zhengyi Lu, Yuechen Yang, Mengmeng Yin, Yuqing Liu, Yihan Wang, Andrew J. Rauch, Haichun Yang, Yuankai Huo
- Submitted to MIDL 2026
- Readers: Everyone
Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing
Yuechen Yang, Junlin Guo, Ruining Deng, Junchao Zhu, Zhengyi Lu, Chongyu Qu, Yanfan Zhu, Xingyi Guo, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
- MIDL 2026 Poster
- Readers: Everyone
InstaBound: Instance-Boundary Signed Distance Regression
Xinzi He, Ruining Deng, Martin R. Prince, Mert R. Sabuncu
- Submitted to MIDL 2026
- Readers: Everyone
SCR²-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning
Junchao Zhu, Ruining Deng, Junlin Guo, Tianyuan Yao, Chongyu Qu, Juming Xiong, Siqi Lu, Zhengyi Lu, Yanfan Zhu, Marilyn Lionts, Yuechen Yang, Yalin Zheng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo
- MIDL 2026 Poster
- Readers: Everyone
CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels
Ruining Deng, Yihe Yang, David J Pisapia, Benjamin L Liechty, Junchao Zhu, Juming Xiong, Junlin Guo, Zhengyi Lu, Jiacheng Wang, Xing Yao, Runxuan Yu, Rendong Zhang, Gaurav Rudravaram, Mengmeng Yin, Pinaki Sarder, Haichun Yang, Yuankai Huo, Mert R. Sabuncu
- MIDL 2025 Oral
- Readers: Everyone
MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics
Junchao Zhu, Ruining Deng, Tianyuan Yao, Juming Xiong, Chongyu Qu, Junlin Guo, Siqi Lu, Yucheng Tang, Daguang Xu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yaohong Wang, Haichun Yang, Yuankai Huo
- MIDL 2025 Oral
- Readers: Everyone
Enhancing Physician Flexibility: Prompt-Guided Multi-class Pathological Segmentation for Diverse Outcomes
Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo
- IEEE BHI'24
- Readers: Everyone
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation
Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo
- Published: 01 Jan 2023, Last Modified: 05 Nov 2023
- IEEE Trans. Biomed. Eng. 2023
- Readers: Everyone
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging
Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas Walker Remedios, Shunxing Bao, Bennett A. Landman, Yucheng Tang, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Agnes B. Fogo, Haichun Yang, Yuankai Huo
- Published: 28 Apr 2023, Last Modified: 03 Jun 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone
Exploring shared memory architectures for end-to-end gigapixel deep learning
Lucas Walker Remedios, Leon Yichen Cai, Samuel Remedios, Karthik Ramadass, Aravind Krishnan, Ruining Deng, Can Cui, Shunxing Bao, Lori Coburn, Yuankai Huo, Bennett A. Landman
- Published: 28 Apr 2023, Last Modified: 13 Jun 2023
- MIDL 2023 Short paper track Poster
- Readers: Everyone

View all 67 publications

Co-Authors

View all 127 co-authors