Peixian Liang

5 papers · 2019–2026 · 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 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) 🚀 Conference Pioneer

Venues

AAAI (2) CVPR (1) MICCAI (1) MIDL (1)

Top co-authors

Danny Z. Chen (4) Hao Zheng (4) Yizhe Zhang (3) Lin Yang (3) Zhuo Zhao (2) Chaoli Wang (2) Hongming Li (1) Pengfei Gu (1) Jianxu Chen (1) David P. Hughes (1)

Research topics

Computer Vision (4) Machine Learning (4) Domain-Specific (4) Deep Learning (3) Learning Types · Machine Learning (3) Learning Types · Deep Learning (3) Healthcare & Medicine (2) Analysis (2) Clinical (2) Processing (2) Application Areas (1)

Keywords

fully convolutional network (3) biomedical image segmentation (2) deep learning (2) contrastive learning (1) image segmentation (1) semi-supervised learning (1) ensemble learning (1) feature extraction (1) transductive learning (1) data augmentation (1) topological data analysis (1) medical image classification (1) biomedical imaging (1) unsupervised feature extraction (1) mixture of expert (1) persistence diagram (1) 3d image segmentation (1) unsupervised learning (1) representative annotation (1) active learning (1)

Papers

TopoCL: Topological Contrastive Learning for Medical Imaging CVPR 2026 Enhancing Whole Slide Image Classification with Discriminative and Contrastive Learning MICCAI 2024 A New Ensemble Learning Framework for 3D Biomedical Image Segmentation AAAI 2019 Biomedical Image Segmentation via Representative Annotation AAAI 2019 SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation MIDL 2019