Abnormality-Driven Representation Learning for Radiology Imaging
Fuente:
arXiv
Saved in:
| Main Authors: | Ligero, Marta, Lenz, Tim, Wölflein, Georg, Nahhas, Omar S. M. El, Truhn, Daniel, Kather, Jakob Nikolas |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
by: Nahhas, Omar S. M. El, et al.
Published: (2024)
by: Nahhas, Omar S. M. El, et al.
Published: (2024)
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
by: Lenz, Tim, et al.
Published: (2024)
by: Lenz, Tim, et al.
Published: (2024)
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024)
by: Lenz, Tim, et al.
Published: (2024)
In-context learning enables multimodal large language models to classify cancer pathology images
by: Ferber, Dyke, et al.
Published: (2024)
by: Ferber, Dyke, et al.
Published: (2024)
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
by: Wölflein, Georg, et al.
Published: (2023)
by: Wölflein, Georg, et al.
Published: (2023)
Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization
by: Khader, Firas, et al.
Published: (2024)
by: Khader, Firas, et al.
Published: (2024)
Three-dimensional end-to-end deep learning for brain MRI analysis
by: Juglan, Radhika, et al.
Published: (2025)
by: Juglan, Radhika, et al.
Published: (2025)
Hallucination Filtering in Radiology Vision-Language Models Using Discrete Semantic Entropy
by: Wienholt, Patrick, et al.
Published: (2025)
by: Wienholt, Patrick, et al.
Published: (2025)
MedicalPatchNet: A Patch-Based Self-Explainable AI Architecture for Chest X-ray Classification
by: Wienholt, Patrick, et al.
Published: (2025)
by: Wienholt, Patrick, et al.
Published: (2025)
Enhancing Network Initialization for Medical AI Models Using Large-Scale, Unlabeled Natural Images
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)
by: Arasteh, Soroosh Tayebi, et al.
Published: (2023)
Diagnostic Accuracy of Open-Source Vision-Language Models on Diverse Medical Imaging Tasks
by: Müller-Franzes, Gustav, et al.
Published: (2025)
by: Müller-Franzes, Gustav, et al.
Published: (2025)
From Clinical Intent to Clinical Model: Autonomous Coding-Agents for Clinician-driven AI Development
by: Zhao, Zihao, et al.
Published: (2026)
by: Zhao, Zihao, et al.
Published: (2026)
Resolution scaling governs DINOv3 transfer performance in chest radiograph classification
by: Arasteh, Soroosh Tayebi, et al.
Published: (2025)
by: Arasteh, Soroosh Tayebi, et al.
Published: (2025)
Medical Slice Transformer: Improved Diagnosis and Explainability on 3D Medical Images with DINOv2
by: Müller-Franzes, Gustav, et al.
Published: (2024)
by: Müller-Franzes, Gustav, et al.
Published: (2024)
Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
by: Neidlinger, Peter, et al.
Published: (2024)
by: Neidlinger, Peter, et al.
Published: (2024)
LLM Agents Making Agent Tools
by: Wölflein, Georg, et al.
Published: (2025)
by: Wölflein, Georg, et al.
Published: (2025)
From Text to Image: Exploring GPT-4Vision's Potential in Advanced Radiological Analysis across Subspecialties
by: Busch, Felix, et al.
Published: (2023)
by: Busch, Felix, et al.
Published: (2023)
Class Visualizations and Activation Atlases for Enhancing Interpretability in Deep Learning-Based Computational Pathology
by: Gustav, Marco, et al.
Published: (2026)
by: Gustav, Marco, et al.
Published: (2026)
What Does DALL-E 2 Know About Radiology?
by: Adams, Lisa C., et al.
Published: (2022)
by: Adams, Lisa C., et al.
Published: (2022)
Unconditional Latent Diffusion Models Memorize Patient Imaging Data: Implications for Openly Sharing Synthetic Data
by: Dar, Salman Ul Hassan, et al.
Published: (2024)
by: Dar, Salman Ul Hassan, et al.
Published: (2024)
Improving Medical Visual Representations via Radiology Report Generation
by: Quigley, Keegan, et al.
Published: (2023)
by: Quigley, Keegan, et al.
Published: (2023)
Multimodal Causal-Driven Representation Learning for Generalizable Medical Image Segmentation
by: Liang, Xusheng, et al.
Published: (2025)
by: Liang, Xusheng, et al.
Published: (2025)
SilVar-Med: A Speech-Driven Visual Language Model for Explainable Abnormality Detection in Medical Imaging
by: Pham, Tan-Hanh, et al.
Published: (2025)
by: Pham, Tan-Hanh, et al.
Published: (2025)
RadThinking: A Dataset for Longitudinal Clinical Reasoning in Radiology
by: Li, Wenxuan, et al.
Published: (2026)
by: Li, Wenxuan, et al.
Published: (2026)
Federated EndoViT: Pretraining Vision Transformers via Federated Learning on Endoscopic Image Collections
by: Kirchner, Max, et al.
Published: (2025)
by: Kirchner, Max, et al.
Published: (2025)
Deep Omni-supervised Learning for Rib Fracture Detection from Chest Radiology Images
by: Chai, Zhizhong, et al.
Published: (2023)
by: Chai, Zhizhong, et al.
Published: (2023)
ORID: Organ-Regional Information Driven Framework for Radiology Report Generation
by: Gu, Tiancheng, et al.
Published: (2024)
by: Gu, Tiancheng, et al.
Published: (2024)
Quantifying the human visual exposome with vision language models
by: Rominger, Christian, et al.
Published: (2026)
by: Rominger, Christian, et al.
Published: (2026)
PairAug: What Can Augmented Image-Text Pairs Do for Radiology?
by: Xie, Yutong, et al.
Published: (2024)
by: Xie, Yutong, et al.
Published: (2024)
Can Agents Distinguish Visually Hard-to-Separate Diseases in a Zero-Shot Setting? A Pilot Study
by: Zhao, Zihao, et al.
Published: (2026)
by: Zhao, Zihao, et al.
Published: (2026)
Structured Spectral Graph Representation Learning for Multi-label Abnormality Analysis from 3D CT Scans
by: Di Piazza, Theo, et al.
Published: (2025)
by: Di Piazza, Theo, et al.
Published: (2025)
IonMorphNet: Generalizable Learning of Ion Image Morphologies for Peak Picking in Mass Spectrometry Imaging
by: Weigand, Philipp, et al.
Published: (2026)
by: Weigand, Philipp, et al.
Published: (2026)
WristMIR: Coarse-to-Fine Region-Aware Retrieval of Pediatric Wrist Radiographs with Radiology Report-Driven Learning
by: Sonmezer, Mert, et al.
Published: (2026)
by: Sonmezer, Mert, et al.
Published: (2026)
Radiology Report Generation for Low-Quality X-Ray Images
by: Zhu, Hongze, et al.
Published: (2026)
by: Zhu, Hongze, et al.
Published: (2026)
Large-scale Long-tailed Disease Diagnosis on Radiology Images
by: Zheng, Qiaoyu, et al.
Published: (2023)
by: Zheng, Qiaoyu, et al.
Published: (2023)
An Ordinal Regression Framework for a Deep Learning Based Severity Assessment for Chest Radiographs
by: Wienholt, Patrick, et al.
Published: (2024)
by: Wienholt, Patrick, et al.
Published: (2024)
Exploring Multimodal Large Language Models for Radiology Report Error-checking
by: Wu, Jinge, et al.
Published: (2023)
by: Wu, Jinge, et al.
Published: (2023)
Med-DisSeg: Dispersion-Driven Representation Learning for Fine-Grained Medical Image Segmentation
by: Chen, Zhiquan, et al.
Published: (2026)
by: Chen, Zhiquan, et al.
Published: (2026)
AFiRe: Anatomy-Driven Self-Supervised Learning for Fine-Grained Representation in Radiographic Images
by: Liu, Yihang, et al.
Published: (2025)
by: Liu, Yihang, et al.
Published: (2025)
Bridging Vision and Language: Optimal Transport-Driven Radiology Report Generation via LLMs
by: Zhao, Haifeng, et al.
Published: (2025)
by: Zhao, Haifeng, et al.
Published: (2025)
Similar Items
-
Joint multi-task learning improves weakly-supervised biomarker prediction in computational pathology
by: Nahhas, Omar S. M. El, et al.
Published: (2024) -
Unsupervised Foundation Model-Agnostic Slide-Level Representation Learning
by: Lenz, Tim, et al.
Published: (2024) -
Reducing self-supervised learning complexity improves weakly-supervised classification performance in computational pathology
by: Lenz, Tim, et al.
Published: (2024) -
In-context learning enables multimodal large language models to classify cancer pathology images
by: Ferber, Dyke, et al.
Published: (2024) -
Benchmarking Pathology Feature Extractors for Whole Slide Image Classification
by: Wölflein, Georg, et al.
Published: (2023)