Imagen de Portada

Beyond the Failures: Rethinking Foundation Models in Pathology

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Tizhoosh, Hamid R.
Formato:	Preprint
Publicado:	2025
Materias:	Artificial Intelligence Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Foundation Models and Information Retrieval in Digital Pathology
por: Tizhoosh, H. R.
Publicado: (2024)

A Short Survey on Set-Based Aggregation Techniques for Single-Vector WSI Representation in Digital Pathology
por: Hemati, S., et al.
Publicado: (2024)

The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models
por: Liu, Jiashuai, et al.
Publicado: (2025)

Molecular-driven Foundation Model for Oncologic Pathology
por: Vaidya, Anurag, et al.
Publicado: (2025)

Foundation Models -- A Panacea for Artificial Intelligence in Pathology?
por: Mulliqi, Nita, et al.
Publicado: (2025)

Multi-Modal Foundation Models for Computational Pathology: A Survey
por: Li, Dong, et al.
Publicado: (2025)

Zero-Shot Whole Slide Image Retrieval in Histopathology Using Embeddings of Foundation Models
por: Alfasly, Saghir, et al.
Publicado: (2024)

Benchmarking Pathology Foundation Models for Spatial Domain Understanding
por: Zhao, Bokai, et al.
Publicado: (2026)

Towards Spatial Transcriptomics-driven Pathology Foundation Models
por: Hemker, Konstantin, et al.
Publicado: (2026)

Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
por: Mishra, Vaibhav, et al.
Publicado: (2025)

A Multimodal Knowledge-enhanced Whole-slide Pathology Foundation Model
por: Xu, Yingxue, et al.
Publicado: (2024)

A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
por: Li, Dong, et al.
Publicado: (2025)

CRISP -- Clustering-Based Redundancy-Reduced Instance Sampling for Pathology Case Representation and Retrieval
por: Afzal, Zahra Rahimi, et al.
Publicado: (2026)

A Semantically Enhanced Generative Foundation Model Improves Pathological Image Synthesis
por: Guan, Xianchao, et al.
Publicado: (2025)

Aggregation Schemes for Single-Vector WSI Representation Learning in Digital Pathology
por: Hemati, Sobhan, et al.
Publicado: (2025)

Chain-of-Models Pre-Training: Rethinking Training Acceleration of Vision Foundation Models
por: Fan, Jiawei, et al.
Publicado: (2026)

Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models
por: Hu, Mengxuan, et al.
Publicado: (2026)

PathoDuet: Foundation Models for Pathological Slide Analysis of H&E and IHC Stains
por: Hua, Shengyi, et al.
Publicado: (2023)

Beyond Calibration: Confounding Pathology Limits Foundation Model Specificity in Abdominal Trauma CT
por: Raythatha, Jineel H, et al.
Publicado: (2026)

A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
por: Cai, Yu, et al.
Publicado: (2026)

From Hallucinations to Jailbreaks: Rethinking the Vulnerability of Large Foundation Models
por: Jin, Haibo, et al.
Publicado: (2025)

Beyond Diagnosis: Evaluating Multimodal LLMs for Pathology Localization in Chest Radiographs
por: Gosai, Advait, et al.
Publicado: (2025)

MorphDistill: Distilling Unified Morphological Knowledge from Pathology Foundation Models for Colorectal Cancer Survival Prediction
por: Khan, Hikmat, et al.
Publicado: (2026)

Breaking Self-Attention Failure: Rethinking Query Initialization for Infrared Small Target Detection
por: Liu, Yuteng, et al.
Publicado: (2026)

A Survey of Pathology Foundation Model: Progress and Future Directions
por: Xiong, Conghao, et al.
Publicado: (2025)

EXAONEPath 1.0 Patch-level Foundation Model for Pathology
por: Yun, Juseung, et al.
Publicado: (2024)

Beyond Pixels: Enhancing LIME with Hierarchical Features and Segmentation Foundation Models
por: Knab, Patrick, et al.
Publicado: (2024)

GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
por: Quan, Peiran, et al.
Publicado: (2025)

On Validation of Search & Retrieval of Tissue Images in Digital Pathology
por: Tizhoosh, H. R.
Publicado: (2024)

G2L:From Giga-Scale to Cancer-Specific Large-Scale Pathology Foundation Models via Knowledge Distillation
por: Cho, Yesung, et al.
Publicado: (2025)

Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection
por: Yao, Huizai, et al.
Publicado: (2025)

Rethinking Electro-Optical Vision Foundation Models for Remote Sensing Retrieval: A Controlled Comparison with Generalist VFM
por: Park, Hyobin, et al.
Publicado: (2026)

Before Forgetting, Learn to Remember: Revisiting Foundational Learning Failures in LVLM Unlearning Benchmarks
por: Kwon, JuneHyoung, et al.
Publicado: (2026)

Atlas: A Novel Pathology Foundation Model by Mayo Clinic, Charité, and Aignostics
por: Alber, Maximilian, et al.
Publicado: (2025)

EXAONE Path 2.0: Pathology Foundation Model with End-to-End Supervision
por: Pyeon, Myeongjang, et al.
Publicado: (2025)

On Image Search in Histopathology
por: Tizhoosh, H. R., et al.
Publicado: (2024)

Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology
por: Guo, Junlin, et al.
Publicado: (2024)

STAR: A Foundation Model-driven Framework for Robust Task Planning and Failure Recovery in Robotic Systems
por: Sakib, Md Sadman, et al.
Publicado: (2025)

Discovering Pathology Rationale and Token Allocation for Efficient Multimodal Pathology Reasoning
por: Xu, Zhe, et al.
Publicado: (2025)

Multimodal Learning for Scalable Representation of High-Dimensional Medical Data
por: Alsaafin, Areej, et al.
Publicado: (2024)