:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Blezinger, Alexander, Nejdl, Wolfgang, Tang, Ming
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence
Online Access:	https://arxiv.org/abs/2602.00151
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Generative Foundation Model for Multimodal Histopathology
by: Xiang, Jinxi, et al.
Published: (2026)

ECOR: Explainable CLIP for Object Recognition
by: Rasekh, Ali, et al.
Published: (2024)

Conditional Random Fields for Interactive Refinement of Histopathological Predictions
by: Godelaine, Tiffanie, et al.
Published: (2026)

CytoSyn: a Foundation Diffusion Model for Histopathology -- Tech Report
by: Duboudin, Thomas, et al.
Published: (2026)

A Bilayer Segmentation-Recombination Network for Accurate Segmentation of Overlapping C. elegans
by: Dinga, Mengqian, et al.
Published: (2024)

Diffusion Attention Expert Model for Predicting and Semi-automatic Localizing STAS in Lung Cancer Histopathological Images
by: Pan, Liangrui, et al.
Published: (2026)

A Comprehensive Evaluation of Histopathology Foundation Models for Ovarian Cancer Subtype Classification
by: Breen, Jack, et al.
Published: (2024)

Fine-tuning an ECG Foundation Model to Predict Coronary CT Angiography Outcomes
by: Xiao, Yujie, et al.
Published: (2025)

An Investigation of Visual Foundation Models Robustness
by: Gupta, Sandeep, et al.
Published: (2025)

Automated Histopathology Report Generation via Pyramidal Feature Extraction and the UNI Foundation Model
by: Halici, Ahmet, et al.
Published: (2026)

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

Spatial Transcriptomics Expression Prediction from Histopathology Based on Cross-Modal Mask Reconstruction and Contrastive Learning
by: Liu, Junzhuo, et al.
Published: (2025)

Understanding the Transfer Limits of Vision Foundation Models
by: Huang, Shiqi, et al.
Published: (2026)

Trimodal Deep Learning for Glioma Survival Prediction: A Feasibility Study Integrating Histopathology, Gene Expression, and MRI
by: Swift, Iain, et al.
Published: (2026)

SCORPION: Addressing Scanner-Induced Variability in Histopathology
by: Ryu, Jeongun, et al.
Published: (2025)

Focused Active Learning for Histopathological Image Classification
by: Schmidt, Arne, et al.
Published: (2024)

SCALER: SAM-Enhanced Collaborative Learning for Label-Deficient Concealed Object Segmentation
by: He, Chunming, et al.
Published: (2025)

Data-Driven Prediction of Seismic Intensity Distributions Featuring Hybrid Classification-Regression Models
by: Mizutani, Koyu, et al.
Published: (2024)

Vision Transformers for Preoperative CT-Based Prediction of Histopathologic Chemotherapy Response Score in High-Grade Serous Ovarian Carcinoma
by: Fati, Francesca, et al.
Published: (2026)

PathInsight: Instruction Tuning of Multimodal Datasets and Models for Intelligence Assisted Diagnosis in Histopathology
by: Wu, Xiaomin, et al.
Published: (2024)

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

Advancing Stroke Risk Prediction Using a Multi-modal Foundation Model
by: Delgrange, Camille, et al.
Published: (2024)

Graph Conditioned Diffusion for Controllable Histopathology Image Generation
by: Cechnicka, Sarah, et al.
Published: (2025)

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification
by: Zhu, Yu, et al.
Published: (2024)

Topology-Driven Transferability Estimation of Medical Foundation Models for Segmentation
by: Tang, Jiaqi, et al.
Published: (2026)

HistoART: Histopathology Artifact Detection and Reporting Tool
by: Kahaki, Seyed, et al.
Published: (2025)

Towards Scalable Foundation Models for Digital Dermatology
by: Gröger, Fabian, et al.
Published: (2024)

A Multimodal Vision Foundation Model for Clinical Dermatology
by: Yan, Siyuan, et al.
Published: (2024)

Nested AutoRegressive Models
by: Wu, Hongyu, et al.
Published: (2025)

Benchmarking Foundation Models and Parameter-Efficient Fine-Tuning for Prognosis Prediction in Medical Imaging
by: Ruffini, Filippo, et al.
Published: (2025)

Foundation Model-Driven Framework for Human-Object Interaction Prediction with Segmentation Mask Integration
by: Park, Juhan, et al.
Published: (2025)

Hierarchical Brain Structure Modeling for Predicting Genotype of Glioma
by: Tang, Haotian, et al.
Published: (2025)

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

PathoGen: Diffusion-Based Synthesis of Realistic Lesions in Histopathology Images
by: Koohi-Moghadam, Mohamad, et al.
Published: (2026)

Geometry-Aware Uncertainty Coresets for Robust Visual In-Context Learning in Histopathology
by: Erick, Franciskus Xaverius, et al.
Published: (2026)

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

DCS-ST for Classification of Breast Cancer Histopathology Images with Limited Annotations
by: Suxing, Liu, et al.
Published: (2025)

Learning Disentangled Stain and Structural Representations for Semi-Supervised Histopathology Segmentation
by: Pham, Ha-Hieu, et al.
Published: (2025)

Label-free Concept Based Multiple Instance Learning for Gigapixel Histopathology
by: Sun, Susu, et al.
Published: (2025)

Multimodal Foundation Models Exploit Text to Make Medical Image Predictions
by: Buckley, Thomas, et al.
Published: (2023)