Saved in:
| Main Authors: | Hallemeesch, Max, Pizurica, Marija, Rabaey, Paloma, Gevaert, Olivier, Demeester, Thomas, Marchal, Kathleen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2501.14056 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
by: Arno, Henri, et al.
Published: (2024)
by: Arno, Henri, et al.
Published: (2024)
SimSUM: Simulated Benchmark with Structured and Unstructured Medical Records
by: Rabaey, Paloma, et al.
Published: (2024)
by: Rabaey, Paloma, et al.
Published: (2024)
Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks
by: Rabaey, Paloma, et al.
Published: (2025)
by: Rabaey, Paloma, et al.
Published: (2025)
Clinical Reasoning over Tabular Data and Text with Bayesian Networks
by: Rabaey, Paloma, et al.
Published: (2024)
by: Rabaey, Paloma, et al.
Published: (2024)
Debiasing Synthetic Data Generated by Deep Generative Models
by: Decruyenaere, Alexander, et al.
Published: (2024)
by: Decruyenaere, Alexander, et al.
Published: (2024)
MERGE: Multi-faceted Hierarchical Graph-based GNN for Gene Expression Prediction from Whole Slide Histopathology Images
by: Ganguly, Aniruddha, et al.
Published: (2024)
by: Ganguly, Aniruddha, et al.
Published: (2024)
Scalable Context-Preserving Model-Aware Deep Clustering for Hyperspectral Images
by: Li, Xianlu, et al.
Published: (2025)
by: Li, Xianlu, et al.
Published: (2025)
SlideGCD: Slide-based Graph Collaborative Training with Knowledge Distillation for Whole Slide Image Classification
by: Shu, Tong, et al.
Published: (2024)
by: Shu, Tong, et al.
Published: (2024)
The Real Deal Behind the Artificial Appeal: Inferential Utility of Tabular Synthetic Data
by: Decruyenaere, Alexander, et al.
Published: (2023)
by: Decruyenaere, Alexander, et al.
Published: (2023)
Establishing Causal Relationship Between Whole Slide Image Predictions and Diagnostic Evidence Subregions in Deep Learning
by: Nan, Tianhang, et al.
Published: (2024)
by: Nan, Tianhang, et al.
Published: (2024)
MAM-CLIP: Vision-Language Pretraining on Mammography Atlases for BI-RADS Classification
by: Gulluk, Halil Ibrahim, et al.
Published: (2026)
by: Gulluk, Halil Ibrahim, et al.
Published: (2026)
Improving Medical VQA through Trajectory-Aware Process Supervision
by: Gulluk, Halil Ibrahim, et al.
Published: (2026)
by: Gulluk, Halil Ibrahim, et al.
Published: (2026)
Joint Superpixel and Self-Representation Learning for Scalable Hyperspectral Image Clustering
by: Li, Xianlu, et al.
Published: (2025)
by: Li, Xianlu, et al.
Published: (2025)
Aligning Knowledge Concepts to Whole Slide Images for Precise Histopathology Image Analysis
by: Zhao, Weiqin, et al.
Published: (2024)
by: Zhao, Weiqin, et al.
Published: (2024)
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification
by: Xiong, Conghao, et al.
Published: (2023)
by: Xiong, Conghao, et al.
Published: (2023)
Generalized Category Discovery in Hyperspectral Images via Prototype Subspace Modeling
by: Li, Xianlu, et al.
Published: (2025)
by: Li, Xianlu, et al.
Published: (2025)
Decoding Future Risk: Deep Learning Analysis of Tubular Adenoma Whole-Slide Images
by: Rahu, Ahmed, et al.
Published: (2026)
by: Rahu, Ahmed, et al.
Published: (2026)
Pathological Prior-Guided Multiple Instance Learning For Mitigating Catastrophic Forgetting in Breast Cancer Whole Slide Image Classification
by: Zheng, Weixi, et al.
Published: (2025)
by: Zheng, Weixi, et al.
Published: (2025)
Deep Learning for Classification of Inflammatory Bowel Disease Activity in Whole Slide Images of Colonic Histopathology
by: Das, Amit, et al.
Published: (2024)
by: Das, Amit, et al.
Published: (2024)
Modeling Clinical Uncertainty in Radiology Reports: from Explicit Uncertainty Markers to Implicit Reasoning Pathways
by: Rabaey, Paloma, et al.
Published: (2025)
by: Rabaey, Paloma, et al.
Published: (2025)
Comparative Analysis of Machine Learning Models for Lung Cancer Mutation Detection and Staging Using 3D CT Scans
by: Li, Yiheng, et al.
Published: (2025)
by: Li, Yiheng, et al.
Published: (2025)
Advancing Multiple Instance Learning with Continual Learning for Whole Slide Imaging
by: Li, Xianrui, et al.
Published: (2025)
by: Li, Xianrui, et al.
Published: (2025)
Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
by: Huang, Gexin, et al.
Published: (2024)
by: Huang, Gexin, et al.
Published: (2024)
Dynamic Graph Representation with Knowledge-aware Attention for Histopathology Whole Slide Image Analysis
by: Li, Jiawen, et al.
Published: (2024)
by: Li, Jiawen, et al.
Published: (2024)
Jigsaw Regularization in Whole-Slide Image Classification
by: Jeong, So Won, et al.
Published: (2026)
by: Jeong, So Won, et al.
Published: (2026)
Self-Contrastive Weakly Supervised Learning Framework for Prognostic Prediction Using Whole Slide Images
by: Fuster, Saul, et al.
Published: (2024)
by: Fuster, Saul, et al.
Published: (2024)
MergeSlide: Continual Model Merging and Task-to-Class Prompt-Aligned Inference for Lifelong Learning on Whole Slide Images
by: Bui, Doanh C., et al.
Published: (2025)
by: Bui, Doanh C., et al.
Published: (2025)
Dual Attention Model with Reinforcement Learning for Classification of Histology Whole-Slide Images
by: Raza, Manahil, et al.
Published: (2023)
by: Raza, Manahil, et al.
Published: (2023)
MamMIL: Multiple Instance Learning for Whole Slide Images with State Space Models
by: Fang, Zijie, et al.
Published: (2024)
by: Fang, Zijie, et al.
Published: (2024)
Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images
by: Li, Xianlu, et al.
Published: (2024)
by: Li, Xianlu, et al.
Published: (2024)
Fourier Transform Multiple Instance Learning for Whole Slide Image Classification
by: Bilic, Anthony, et al.
Published: (2025)
by: Bilic, Anthony, et al.
Published: (2025)
Learning from Partial Label Proportions for Whole Slide Image Segmentation
by: Matsuo, Shinnosuke, et al.
Published: (2024)
by: Matsuo, Shinnosuke, et al.
Published: (2024)
Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
by: Zhang, Yunlong, et al.
Published: (2023)
by: Zhang, Yunlong, et al.
Published: (2023)
Cluster-Level Sparse Multi-Instance Learning for Whole-Slide Images
by: Zhang, Yuedi, et al.
Published: (2025)
by: Zhang, Yuedi, et al.
Published: (2025)
ASMIL: Attention-Stabilized Multiple Instance Learning for Whole Slide Imaging
by: Ye, Linfeng, et al.
Published: (2026)
by: Ye, Linfeng, et al.
Published: (2026)
Multiple Instance Learning with random sampling for Whole Slide Image Classification
by: Keshvarikhojasteh, H., et al.
Published: (2024)
by: Keshvarikhojasteh, H., et al.
Published: (2024)
Slide-based Graph Collaborative Training for Histopathology Whole Slide Image Analysis
by: Shi, Jun, et al.
Published: (2024)
by: Shi, Jun, et al.
Published: (2024)
From Traditional to Deep Learning Approaches in Whole Slide Image Registration: A Methodological Review
by: Elhaminia, Behnaz, et al.
Published: (2025)
by: Elhaminia, Behnaz, et al.
Published: (2025)
Prompting Whole Slide Image Based Genetic Biomarker Prediction
by: Zhang, Ling, et al.
Published: (2024)
by: Zhang, Ling, et al.
Published: (2024)
Evaluating Deep Regression Models for WSI-Based Gene-Expression Prediction
by: Gustafsson, Fredrik K., et al.
Published: (2024)
by: Gustafsson, Fredrik K., et al.
Published: (2024)
Similar Items
-
From Text to Treatment Effects: A Meta-Learning Approach to Handling Text-Based Confounding
by: Arno, Henri, et al.
Published: (2024) -
SimSUM: Simulated Benchmark with Structured and Unstructured Medical Records
by: Rabaey, Paloma, et al.
Published: (2024) -
Patient-level Information Extraction by Consistent Integration of Textual and Tabular Evidence with Bayesian Networks
by: Rabaey, Paloma, et al.
Published: (2025) -
Clinical Reasoning over Tabular Data and Text with Bayesian Networks
by: Rabaey, Paloma, et al.
Published: (2024) -
Debiasing Synthetic Data Generated by Deep Generative Models
by: Decruyenaere, Alexander, et al.
Published: (2024)