Houda Bahig

5 papers · 2021–2025 · 3 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

MICCAI (3) CVPR (1) MIDL (1)

Top co-authors

Ismail Ben Ayed (5) Jose Dolz (5) Julio Silva-Rodríguez (3) Fereshteh Shakeri (3) Yunshi Huang (2) Hoel Kervadec (1) An Tang (1) Ghassen Baklouti (1) Malik Boudiaf (1) Laurent Letourneau-Guillon (1)

Research topics

Machine Learning (2) Optimization & Theory (2) Computer Vision (1) Deep Learning (1) Analysis (1) Domain-Specific (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Techniques (1)

Keywords

few-shot learning (1) convex optimization (1) medical image segmentation (1) prompt learning (1) clip model (1) deep network (1) feature adaptation (1) shape descriptor (1) anatomical prior (1) linear probe (1) majorize-minimize optimization (1) segmentation loss (1) global shape (1)

Papers

Few-Shot, Now for Real: Medical VLMs Adaptation without Balanced Sets or Validation MICCAI 2025 Regularized Low-Rank Adaptation for Few-Shot Organ Segmentation MICCAI 2025 Few-shot Adaptation of Medical Vision-Language Models MICCAI 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 Beyond pixel-wise supervision for segmentation: A few global shape descriptors might be surprisingly good! MIDL 2021