Michael B. Gotway

6 papers · 2019–2025 · 5 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

Jump to papers ↓

🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10) 🚀 Conference Pioneer

Venues

CVPR (2) ICCV (1) MICCAI (1) MIDL (1) WACV (1)

Top co-authors

Jianming Liang (6) Mohammad Reza Hosseinzadeh Taher (3) Fatemeh Haghighi (3) Nima Tajbakhsh (1) Ruibin Feng (1) Jiaxuan Pang (1) Yoshua Bengio (1) Ziyu Zhou (1) Md Mahfuzur Rahman Siddiquee (1) DongAo Ma (1)

Research topics

Computer Vision (4) Machine Learning (4) Domain-Specific (4) Core Methods (3) Learning Types · Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Learning Paradigms (2) Models (2) Healthcare & Medicine (1) Clinical (1) Learning Types · Deep Learning (1)

Keywords

medical imaging (4) self-supervised learning (3) representation learning (3) zero-shot learning (2) transfer learning (2) disease detection (1) foundation model (1) generative adversarial network (1) domain translation (1) zero-shot transfer (1) instance discrimination (1) anatomical structure (1) chest radiograph (1) part-whole hierarchy (1) anatomical segmentation (1) anatomy-disease entanglement (1) fixed-point translation (1) part-whole hierarchies (1) restorative learning (1) adversarial learning (1)

Papers

Learning Anatomy-Disease Entangled Representation WACV 2025 ASA: Learning Anatomical Consistency, Sub-volume Spatial Relationships and Fine-grained Appearance for CT Images MICCAI 2024 Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision CVPR 2024 CAiD: Context-Aware Instance Discrimination for Self-supervised Learning in Medical Imaging MIDL 2022 DiRA: Discriminative, Restorative, and Adversarial Learning for Self-Supervised Medical Image Analysis CVPR 2022 Learning Fixed Points in Generative Adversarial Networks: From Image-to-Image Translation to Disease Detection and Localization ICCV 2019