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Ruining Deng

11 papers · 2022–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+2 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver 🌍 Conference Polyglot Β· Bronze πŸ—ΊοΈ Taxonomy Completionist (15) πŸ‘₯ Mega-Team Β· Squad πŸš€ Conference Pioneer
πŸ’Ž Century Club Β· Bronze πŸ”₯ Unstoppable Β· Bronze

Venues

MIDL (6) CVPR (3) MICCAI (2)

Top co-authors

Yuankai Huo (9) Haichun Yang (7) Yu Wang (6) Shilin Zhao (6) Juming Xiong (6) Mengmeng Yin (5) Junchao Zhu (5) Junlin Guo (5) Tianyuan Yao (5) Can Cui (4)

Research topics

Computer Vision (6) Deep Learning (6) Healthcare & Medicine (4) Clinical (4) Domain-Specific (4) Processing (4) Learning Types (3) Artificial Intelligence (2) Analysis (2) Architectures (2) Interdisciplinary (1) Core AI (1) Generation (1) Learning Paradigms (1) Models (1)

Keywords

medical image segmentation (2) spatial transcriptomics (2) medical imaging (2) noisy label learning (1) 3d vision (1) image-to-image translation (1) lesion segmentation (1) fisher information (1) partially labeled images (1) cell segmentation (1) variational autoencoder (1) graph attention network (1) whole slide image (1) interactive segmentation (1) dynamic network (1) self-corrective learning (1) anatomical structure (1) digital pathology (1) graph neural network (1) conditional diffusion model (1)

Papers

BackSplit: The Importance of Sub-dividing the Background in Biomedical Lesion Segmentation CVPR 2026 Explainable Pathomics Feature Visualization via Correlation-aware Conditional Feature Editing MIDL 2026 SCR$^2$-ST: Combine Single Cell with Spatial Transcriptomics for Efficient Active Sampling via Reinforcement Learning MIDL 2026 ASIGN: An Anatomy-aware Spatial Imputation Graphic Network for 3D Spatial Transcriptomics CVPR 2025 CASC-AI: Consensus-aware Self-corrective Learning for Cell Segmentation with Noisy Labels MIDL 2025 MagNet: Multi-Level Attention Graph Network for Predicting High-Resolution Spatial Transcriptomics MIDL 2025 Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis MICCAI 2025 HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis MICCAI 2024 PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation CVPR 2024 Alleviating tiling effect by random walk sliding window in high-resolution histological whole slide image synthesis MIDL 2023 Single Dynamic Network for Multi-label Renal Pathology Image Segmentation MIDL 2022