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Reza Azad

14 papers · 2021–2026 · 6 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (18) πŸƒ Academic Marathon Β· Sprint 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team Β· Legion 🀝 Dynamic Duo (13) ❓ The Questioner πŸ”₯ Unstoppable Β· Bronze πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (62)

Venues

WACV (5) MIDL (4) MICCAI (2) CVPR (1) ICCV (1) NeurIPS (1)

Top co-authors

Dorit Merhof (13) Amirhossein Kazerouni (6) Sanaz Karimijafarbigloo (4) Afshin Bozorgpour (3) Ulas Bagci (3) Moein Heidari (2) Pratibha Kumari (2) Ehsan Khodapanah Aghdam (2) Ilker Hacihaliloglu (2) Yousef Sadegheih (2)

Research topics

Computer Vision (9) Machine Learning (7) Deep Learning (5) Architectures (5) Domain-Specific (5) Learning Types (5) Healthcare & Medicine (4) Clinical (4) Processing (4) Artificial Intelligence (3) Analysis (3) Core AI (2) Core Methods (2) Application Areas (1) Bayesian & Probabilistic (1)

Keywords

medical image segmentation (6) implicit neural representation (2) multi-scale representation (2) contrastive learning (2) missing modality (2) vision transformer (2) brain tumor segmentation (2) few-shot learning (1) feature learning (1) semantic segmentation (1) self-supervised learning (1) attention mechanism (1) image reconstruction (1) deformable convolution (1) signal representation (1) magnetic resonance imaging (1) signal reconstruction (1) image restoration (1) image denoising (1) out-of-distribution generalization (1)

Papers

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation CVPR 2026 CENet: Context Enhancement Network for Medical Image Segmentation MICCAI 2025 Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation WACV 2025 LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation MICCAI 2025 SL2A-INR: Single-Layer Learnable Activation for Implicit Neural Representation ICCV 2025 Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation WACV 2024 INCODE: Implicit Neural Conditioning With Prior Knowledge Embeddings WACV 2024 Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning MIDL 2024 Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation? NeurIPS 2024 HiFormer: Hierarchical Multi-Scale Representations Using Transformers for Medical Image Segmentation WACV 2023 MMCFormer: Missing Modality Compensation Transformer for Brain Tumor Segmentation MIDL 2023 MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation MIDL 2023 SMU-Net: Style matching U-Net for brain tumor segmentation with missing modalities MIDL 2022 On the Texture Bias for Few-Shot CNN Segmentation WACV 2021