Dorit Merhof

20 papers · 2019–2026 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🤝 Dynamic Duo (13) 🧬 Topic Evolution 👥 Mega-Team · Legion ⚡ Prolific Year · Productive 🔥 Unstoppable · Bronze ❓ The Questioner 💎 Century Club · Bronze 🚀 Conference Pioneer 🗃️ Keyword Collector (66)

Venues

MIDL (7) MICCAI (6) WACV (4) CVPR (1) ICCV (1) NeurIPS (1)

Top co-authors

Reza Azad (13) Amirhossein Kazerouni (6) Pratibha Kumari (4) Sanaz Karimijafarbigloo (4) Friedrich Feuerhake (3) Daniel Reisenbüchler (3) Afshin Bozorgpour (3) Ulas Bagci (3) Yousef Sadegheih (3) Michael Gadermayr (2)

Research topics

Computer Vision (9) Machine Learning (8) Deep Learning (7) Domain-Specific (6) Learning Types (6) Healthcare & Medicine (5) Architectures (5) Clinical (5) Processing (4) Artificial Intelligence (3) Analysis (2) Core AI (2) Core Methods (2) Models (2) Application Areas (1)

Keywords

medical image segmentation (7) multi-scale representation (2) implicit neural representation (2) missing modality (2) contrastive learning (2) digital pathology (2) vision transformer (2) brain tumor segmentation (2) image segmentation (2) semi-supervised learning (1) self-supervised learning (1) deformable convolution (1) attention mechanism (1) weakly supervised learning (1) benchmark evaluation (1) signal representation (1) image denoising (1) image restoration (1) out-of-distribution generalization (1) image-to-image translation (1)

Papers

Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation CVPR 2026 Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation MIDL 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 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 Top-Down Attention-based Multiple Instance Learning for Whole Slide Image Analysis MICCAI 2025 Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation WACV 2024 Continual Domain Incremental Learning for Privacy-aware Digital Pathology MICCAI 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 Unsupervised Latent Stain Adaptation for Computational Pathology MICCAI 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 Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology MIDL 2019 Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations MIDL 2019