Hojat Asgariandehkordi

4 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 · Silver 🗺️ Taxonomy Completionist (10) 🚀 Conference Pioneer

Venues

CVPR (3) MICCAI (1)

Top co-authors

Taha Koleilat (4) Yiming Xiao (4) Hassan Rivaz (4) Omid Nejatimanzari (2) Berardino Barile (1)

Research topics

Deep Learning (3) Models (3) Computer Vision (2) Healthcare & Medicine (2) Clinical (2) Domain-Specific (2) Learning Types · Deep Learning (2) Artificial Intelligence (1) Machine Learning (1) Application Areas (1) Core AI (1) Learning Types · Machine Learning (1) Processing (1)

Keywords

vision-language model (3) continual learning (1) catastrophic forgetting (1) few-shot learning (1) domain generalization (1) domain adaptation (1) medical imaging (1) knowledge distillation (1) medical image segmentation (1) prompt learning (1) medical image classification (1) low-rank adaptation (1) mixture of expert (1) predictive uncertainty (1) cross-modal attention (1) biomedical image classification (1) contrastive learning (1) biomedical image (1)

Papers

MedCLIPSeg: Probabilistic Vision-Language Adaptation for Data-Efficient and Generalizable Medical Image Segmentation CVPR 2026 Sparse Spectral LoRA: Routed Experts for Medical VLMs CVPR 2026 BiomedCoOp: Learning to Prompt for Biomedical Vision-Language Models CVPR 2025 MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation MICCAI 2024