Dorit Merhof
19 papers · 2019–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (6) π Conference Polyglot (5) πΊοΈ Taxonomy Completionist (20)
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Conference Polyglot
(5)
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Academic Marathon
(6)
π
Cross-Pollinator
(15)
π₯
Mega-Team
(53)
π€
Dynamic Duo
(12)
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Century Club
(18)
π
Conference Pioneer
ποΈ
Keyword Collector
(53)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
MIDL (7)
MICCAI (6)
WACV (4)
ICCV (1)
NIPS (1)
Top co-authors
Keywords
medical image segmentation
(6)
image segmentation
(2)
implicit neural representation
(2)
missing modality
(2)
digital pathology
(2)
multi-scale representation
(2)
vision transformer
(2)
brain tumor segmentation
(2)
semi-supervised learning
(1)
deformable convolution
(1)
benchmark evaluation
(1)
self-supervised learning
(1)
attention mechanism
(1)
weakly supervised learning
(1)
contrastive learning
(1)
signal representation
(1)
image denoising
(1)
image restoration
(1)
out-of-distribution generalization
(1)
image-to-image translation
(1)
Papers
Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
MIDL 2026
Frequency-Domain Refinement of Vision Transformers for Robust Medical Image Segmentation under Degradation
WACV 2025
Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis
MICCAI 2025
CENet: Context Enhancement Network for Medical Image Segmentation
MICCAI 2025
HoloPointNet: A Deep Learning Framework for Efficient 3D Point Cloud Holography
MICCAI 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
Touchstone Benchmark: Are We on the Right Way for Evaluating AI Algorithms for Medical Segmentation?
NIPS 2024
Continual Domain Incremental Learning for Privacy-aware Digital Pathology
MICCAI 2024
Unsupervised Latent Stain Adaptation for Computational Pathology
MICCAI 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
Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations
MIDL 2019
Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology
MIDL 2019