Image de couverture de livre

Investigating the Impact of Histopathological Foundation Models on Regressive Prediction of Homologous Recombination Deficiency

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Blezinger, Alexander, Nejdl, Wolfgang, Tang, Ming
Format:	Preprint
Publié:	2026
Sujets:	Computer Vision and Pattern Recognition Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

A Generative Foundation Model for Multimodal Histopathology
par: Xiang, Jinxi, et autres
Publié: (2026)

ECOR: Explainable CLIP for Object Recognition
par: Rasekh, Ali, et autres
Publié: (2024)

Conditional Random Fields for Interactive Refinement of Histopathological Predictions
par: Godelaine, Tiffanie, et autres
Publié: (2026)

CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report
par: Duboudin, Thomas, et autres
Publié: (2026)

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
par: Pan, Liangrui, et autres
Publié: (2026)

A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans
par: Dinga, Mengqian, et autres
Publié: (2024)

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
par: Xiao, Yujie, et autres
Publié: (2025)

A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
par: Breen, Jack, et autres
Publié: (2024)

An Investigation of Visual Foundation Models Robustness
par: Gupta, Sandeep, et autres
Publié: (2025)

Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
par: Liu, Junzhuo, et autres
Publié: (2025)

Understanding the Transfer Limits of Vision Foundation Models
par: Huang, Shiqi, et autres
Publié: (2026)

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
par: Swift, Iain, et autres
Publié: (2026)

Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models
par: Mizutani, Koyu, et autres
Publié: (2024)

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model
par: Halici, Ahmet, et autres
Publié: (2026)

Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models
par: Alfasly, Saghir, et autres
Publié: (2024)

SCORPION: Addressing Scanner-Induced Variability in Histopathology
par: Ryu, Jeongun, et autres
Publié: (2025)

Focused Active Learning for Histopathological Image Classification
par: Schmidt, Arne, et autres
Publié: (2024)

SCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation
par: He, Chunming, et autres
Publié: (2025)

Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma
par: Fati, Francesca, et autres
Publié: (2026)

Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
par: Delgrange, Camille, et autres
Publié: (2024)

PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology
par: Wu, Xiaomin, et autres
Publié: (2024)

Benchmarking Pathology Foundation Models for Spatial Domain Understanding
par: Zhao, Bokai, et autres
Publié: (2026)

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation
par: Tang, Jiaqi, et autres
Publié: (2026)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
par: Cechnicka, Sarah, et autres
Publié: (2025)

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
par: Zhu, Yu, et autres
Publié: (2024)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
par: Ruffini, Filippo, et autres
Publié: (2025)

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
par: Park, Juhan, et autres
Publié: (2025)

Towards Scalable Foundation Models for Digital Dermatology
par: Gröger, Fabian, et autres
Publié: (2024)

Nested AutoRegressive Models
par: Wu, Hongyu, et autres
Publié: (2025)

A Multimodal Vision Foundation Model for Clinical Dermatology
par: Yan, Siyuan, et autres
Publié: (2024)

Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma
par: Tang, Haotian, et autres
Publié: (2025)

Molecular-driven Foundation Model for Oncologic Pathology
par: Vaidya, Anurag, et autres
Publié: (2025)

PhysicsMind: Sim and Real Mechanics Benchmarking for Physical Reasoning and Prediction in Foundational VLMs and World Models
par: Mak, Chak-Wing, et autres
Publié: (2026)

PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
par: Koohi-Moghadam, Mohamad, et autres
Publié: (2026)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
par: Erick, Franciskus Xaverius, et autres
Publié: (2026)

A Deep Learning Approach for Augmenting Perceptional Understanding of Histopathology Images
par: Hu, Xiaoqian
Publié: (2025)

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
par: Suxing, Liu, et autres
Publié: (2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
par: Pham, Ha-Hieu, et autres
Publié: (2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
par: Sun, Susu, et autres
Publié: (2025)

HistoART: Histopathology Artifact Detection and Reporting Tool
par: Kahaki, Seyed, et autres
Publié: (2025)