Reza Azad
13 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
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WACV (5)
MIDL (4)
MICCAI (2)
ICCV (1)
NIPS (1)
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Keywords
medical image segmentation
(5)
brain tumor segmentation
(2)
multi-scale representation
(2)
vision transformer
(2)
missing modality
(2)
implicit neural representation
(2)
few-shot learning
(1)
feature learning
(1)
semantic segmentation
(1)
deformable convolution
(1)
self-supervised learning
(1)
attention mechanism
(1)
image reconstruction
(1)
signal representation
(1)
signal reconstruction
(1)
image restoration
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image denoising
(1)
magnetic resonance imaging
(1)
out-of-distribution generalization
(1)
domain generalization
(1)
Papers
Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation
WACV 2025
SL2A-INR: Single-Layer Learnable Activation for Implicit Neural Representation
ICCV 2025
CENet: Context Enhancement Network for Medical Image Segmentation
MICCAI 2025
LHU-Net: a Lean Hybrid U-Net for Cost-efficient, High-performance Volumetric Segmentation
MICCAI 2025
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Reducing Uncertainty in 3D Medical Image Segmentation under Limited Annotations through Contrastive Learning
MIDL 2024
Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
WACV 2024
INCODE: Implicit Neural Conditioning With Prior Knowledge Embeddings
WACV 2024
HiFormer: Hierarchical Multi-Scale Representations Using Transformers for Medical Image Segmentation
WACV 2023
MS-Former: Multi-Scale Self-Guided Transformer for Medical Image Segmentation
MIDL 2023
MMCFormer: Missing Modality Compensation Transformer for Brain Tumor 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