conftrace_

Harini Veeraraghavan

3 papers · 2024–2026 · 2 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

Venues

MIDL (2) WACV (1)

Top co-authors

Aneesh Rangnekar (2) Jue Jiang (2) Aleksandr Petrov (1) Wanting Wang (1) Avijit Chatterjee (1) Max Bain (1) Nathaniel C. Swinburne (1) Maxime Kayser (1) Maksim Gridnev (1)

Research topics

Deep Learning (3) Computer Vision (2) Domain-Specific (2) Artificial Intelligence (1) Machine Learning (1) Architectures (1) Core AI (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1) Techniques (1)

Keywords

self-supervised learning (2) attention mechanism (1) knowledge distillation (1) vision-language alignment (1) medical image (1) masked image modeling (1) brain mri (1) multi-view embedding (1) clinical report (1) 3d ct scans (1) lung cancer segmentation (1) swing transformer (1) vits (1) transformer architecture (1) wild-pretraining (1)

Papers

brat: Aligned Multi-View Embeddings for Brain MRI Analysis WACV 2026 Co-distilled attention guided masked image modeling with noisy teacher for self-supervised learning on medical images MIDL 2025 Self-supervised pretraining in the wild imparts image acquisition robustness to medical image transformers: an application to lung cancer segmentation MIDL 2024