Ziyun Liang

4 papers · 2024–2026 · 4 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

CVPR (1) MICCAI (1) MIDL (1) WACV (1)

Top co-authors

Konstantinos Kamnitsas (4) Daniel Whitehouse (2) J. Alison Noble (2) Felix Wagner (2) David Menon (2) Natalie Voets (2) Wentian Xu (2) Virginia Newcombe (2) Matthew Moffat (1) Thalia Seale (1)

Research topics

Deep Learning (2) Learning Types (2) Artificial Intelligence (1) Computer Vision (1) Machine Learning (1) Analysis (1) Application Areas (1) Core AI (1) Learning Paradigms (1) Techniques (1)

Keywords

federated learning (1) medical image segmentation (1) joint learning (1) artifact detection (1) deep neural network (1) out-of-distribution detection (1) heterogeneous data (1) robustness evaluation (1) brain lesion (1) mri modality (1) segmentation (1) mri (1) multi-modal (1) databases (1) pathologies (1)

Papers

The Invisible Gorilla Effect in Out-of-distribution Detection CVPR 2026 Feasibility of Federated Learning from Client Databases with Different Brain Diseases and MRI Modalities WACV 2025 Feasibility and benefits of joint learning from MRI databases with different brain diseases and modalities for segmentation MIDL 2024 IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI MICCAI 2024