Scholar
Ruining Deng
Google Scholar ID: B3UojrgAAAAJ
Weill Cornell Medicine
Medical Image Analysis
Deep Learning
Digital Pathology
Follow
Homepage
↗
Google Scholar
↗
Citations & Impact
All-time
Citations
1,273
H-index
17
i10-index
24
Publications
20
Co-authors
14
list available
Contact
Email
r.deng@vanderbilt.edu
CV
Open ↗
GitHub
Open ↗
LinkedIn
Open ↗
Publications
33 items
Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing
2026
Cited
0
Patient-Conditioned Adaptive Offsets for Reliable Diagnosis across Subgroups
2026
Cited
0
SCR2-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning
2025
Cited
0
BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation
2025
Cited
0
From Classification to Cross-Modal Understanding: Leveraging Vision-Language Models for Fine-Grained Renal Pathology
2025
Cited
0
How Close Are We? Limitations and Progress of AI Models in Banff Lesion Scoring
2025
Cited
0
Evaluating New AI Cell Foundation Models on Challenging Kidney Pathology Cases Unaddressed by Previous Foundation Models
2025
Cited
0
MedFoundationHub: A Lightweight and Secure Toolkit for Deploying Medical Vision Language Foundation Models
2025
Cited
0
Load more
Resume (English only)
Academic Achievements
Serving as Program Chair for MIDL 2026.
Awarded CTSC Pilot Award from Weill Cornell Medicine for Real-Time AI-Powered Microscopic Analysis.
Paper accepted by MICCAI 2025.
Received Conference Travel Award from MIDL 2025.
Awarded Outstanding Graduate in Research from Vanderbilt University.
Invited to give a talk titled “CASC-AI: Consensus-aware Self-corrective Learning for Noise Cell Segmentation” at University of Florida.
Two papers accepted as orals at MIDL 2025.
One paper accepted by CVPR 2025.
Serving on the Scientific Committee of CVPR 2025 Medical Computer Vision Workshop.
Serving as Area Chair for MICCAI 2025.
Served as Technical Program Committee Reviewer for ISBI 2025.
Received Gold-level Distinguished Reviewer Certificate from IEEE Transactions on Medical Imaging.
Served on the program committee for MICCAI 2024 MOVI.
Paper accepted by MICCAI 2024.
Paper received C.F. Chen Best Paper Runner-up award at Vanderbilt.
Awarded Cornell NYC AIMI Fellowship from Weill Cornell Medicine.
Served on the executive committee for MICCAI 2024 KPIs Challenge.
Invited to give a talk titled “Knowledge-infused Learning In Computational Pathology” at Weill Cornell Medicine.
Paper accepted by Medical Image Analysis journal.
Paper accepted by CVPR 2024.
Research Experience
Currently AI Instructor at Weill Cornell Medicine under the primary supervision of Dr. Mert Sabuncu.
Former Research Assistant at Vanderbilt University.
Former Visiting Scholar at the University of Notre Dame.
Former Research Staff Member at Guangdong Provincial Cardiovascular Institute.
Former Software Engineer Intern at Bridge Investment Group in Charlotte, NC.
Recently completed a summer internship as an Imaging Scientist at Roche Diagnostics USA.
Co-authors
14 total
Yuankai Huo
Computer Science, Vanderbilt University
Haichun Yang
Vanderbilt Medical University
Quan Liu
Accenture
Tianyuan Yao
Vanderbilt University
Can(Cathy) Cui
Meta
Bennett Allan Landman
Electrical and Computer Engineering, Vanderbilt & Radiology and Radiological Sciences, VUMC
Co-author 7
Juming Xiong
Vanderbilt University
×
Welcome back
Sign in to Agora
Welcome back! Please sign in to continue.
Email address
Password
Forgot password?
Continue
Do not have an account?
Sign up