Saved in:
| Main Authors: | Kotp, Yousef, Trinh, Vincent Quoc-Huy, Pal, Christopher, Hosseini, Mahdi S. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.27048 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
by: Yang, Zhiyuan, et al.
Published: (2026)
by: Yang, Zhiyuan, et al.
Published: (2026)
Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design
by: Sharma, Vasudev, et al.
Published: (2025)
by: Sharma, Vasudev, et al.
Published: (2025)
Comparative Analysis of Diffusion Generative Models in Computational Pathology
by: Thakkar, Denisha, et al.
Published: (2024)
by: Thakkar, Denisha, et al.
Published: (2024)
AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
by: Alagha, Ahmed, et al.
Published: (2026)
by: Alagha, Ahmed, et al.
Published: (2026)
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)
Efficient Self-Supervised Barlow Twins from Limited Tissue Slide Cohorts for Colonic Pathology Diagnostics
by: Notton, Cassandre, et al.
Published: (2024)
by: Notton, Cassandre, et al.
Published: (2024)
Viper-F1: Fast and Fine-Grained Multimodal Understanding with Cross-Modal State-Space Modulation
by: Trinh, Quoc-Huy
Published: (2025)
by: Trinh, Quoc-Huy
Published: (2025)
2DMamba: Efficient State Space Model for Image Representation with Applications on Giga-Pixel Whole Slide Image Classification
by: Zhang, Jingwei, et al.
Published: (2024)
by: Zhang, Jingwei, et al.
Published: (2024)
Computational Pathology: A Survey Review and The Way Forward
by: Hosseini, Mahdi S., et al.
Published: (2023)
by: Hosseini, Mahdi S., et al.
Published: (2023)
Firebolt-VL: Efficient Vision-Language Understanding with Cross-Modality Modulation
by: Trinh, Quoc-Huy, et al.
Published: (2026)
by: Trinh, Quoc-Huy, et al.
Published: (2026)
RotCAtt-TransUNet++: Novel Deep Neural Network for Sophisticated Cardiac Segmentation
by: Nguyen-Le, Quoc-Bao, et al.
Published: (2024)
by: Nguyen-Le, Quoc-Bao, et al.
Published: (2024)
PRS-Med: Position Reasoning Segmentation in Medical Imaging
by: Trinh, Quoc-Huy, et al.
Published: (2025)
by: Trinh, Quoc-Huy, et al.
Published: (2025)
CovHuSeg: An Enhanced Approach for Kidney Pathology Segmentation
by: Trinh, Huy, et al.
Published: (2024)
by: Trinh, Huy, et al.
Published: (2024)
Benchmarking Computational Pathology Foundation Models For Semantic Segmentation
by: Ramchandani, Lavish, et al.
Published: (2026)
by: Ramchandani, Lavish, et al.
Published: (2026)
Unifying Multiple Foundation Models for Advanced Computational Pathology
by: Lei, Wenhui, et al.
Published: (2025)
by: Lei, Wenhui, et al.
Published: (2025)
Foundation Models in Computational Pathology: A Review of Challenges, Opportunities, and Impact
by: Bilal, Mohsin, et al.
Published: (2025)
by: Bilal, Mohsin, et al.
Published: (2025)
Pathology Foundation Models
by: Ochi, Mieko, et al.
Published: (2024)
by: Ochi, Mieko, et al.
Published: (2024)
SAM-EG: Segment Anything Model with Egde Guidance framework for efficient Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2024)
by: Trinh, Quoc-Huy, et al.
Published: (2024)
SRMA-Mamba: Spatial Reverse Mamba Attention Network for Pathological Liver Segmentation in MRI Volumes
by: Zeng, Jun, et al.
Published: (2025)
by: Zeng, Jun, et al.
Published: (2025)
Multi-Modal Foundation Models for Computational Pathology: A Survey
by: Li, Dong, et al.
Published: (2025)
by: Li, Dong, et al.
Published: (2025)
KDAS: Knowledge Distillation via Attention Supervision Framework for Polyp Segmentation
by: Trinh, Quoc-Huy, et al.
Published: (2023)
by: Trinh, Quoc-Huy, et al.
Published: (2023)
NeIn: Telling What You Don't Want
by: Bui, Nhat-Tan, et al.
Published: (2024)
by: Bui, Nhat-Tan, et al.
Published: (2024)
Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
by: Tang, Wenhao, et al.
Published: (2024)
by: Tang, Wenhao, et al.
Published: (2024)
Revisiting Automatic Data Curation for Vision Foundation Models in Digital Pathology
by: Chen, Boqi, et al.
Published: (2025)
by: Chen, Boqi, et al.
Published: (2025)
PLUTO-4: Frontier Pathology Foundation Models
by: Padigela, Harshith, et al.
Published: (2025)
by: Padigela, Harshith, et al.
Published: (2025)
Comparing Computational Pathology Foundation Models using Representational Similarity Analysis
by: Mishra, Vaibhav, et al.
Published: (2025)
by: Mishra, Vaibhav, et al.
Published: (2025)
StainNet: Scaling Self-Supervised Foundation Models on Immunohistochemistry and Special Stains for Computational Pathology
by: Li, Jiawen, et al.
Published: (2025)
by: Li, Jiawen, et al.
Published: (2025)
A Deployment-Friendly Foundational Framework for Efficient Computational Pathology
by: Cai, Yu, et al.
Published: (2026)
by: Cai, Yu, et al.
Published: (2026)
Beyond Medical Diagnostics: How Medical Multimodal Large Language Models Think in Space
by: Trinh, Quoc-Huy, et al.
Published: (2026)
by: Trinh, Quoc-Huy, et al.
Published: (2026)
PathOrchestra: A Comprehensive Foundation Model for Computational Pathology with Over 100 Diverse Clinical-Grade Tasks
by: Yan, Fang, et al.
Published: (2025)
by: Yan, Fang, et al.
Published: (2025)
CPath-Omni: A Unified Multimodal Foundation Model for Patch and Whole Slide Image Analysis in Computational Pathology
by: Sun, Yuxuan, et al.
Published: (2024)
by: Sun, Yuxuan, et al.
Published: (2024)
A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
by: Li, Dong, et al.
Published: (2025)
by: Li, Dong, et al.
Published: (2025)
Benchmarking Pathology Foundation Models: Adaptation Strategies and Scenarios
by: Lee, Jeaung, et al.
Published: (2024)
by: Lee, Jeaung, et al.
Published: (2024)
The Importance of Downstream Networks in Digital Pathology Foundation Models
by: Bredell, Gustav, et al.
Published: (2023)
by: Bredell, Gustav, et al.
Published: (2023)
The Butterfly Effect in Pathology: Exploring Security in Pathology Foundation Models
by: Liu, Jiashuai, et al.
Published: (2025)
by: Liu, Jiashuai, et al.
Published: (2025)
ViCLIP-OT: The First Foundation Vision-Language Model for Vietnamese Image-Text Retrieval with Optimal Transport
by: Tran, Quoc-Khang, et al.
Published: (2026)
by: Tran, Quoc-Khang, et al.
Published: (2026)
A Vision-Language Foundation Model for Leaf Disease Identification
by: Quoc, Khang Nguyen, et al.
Published: (2025)
by: Quoc, Khang Nguyen, et al.
Published: (2025)
BRIGHT: A Collaborative Generalist-Specialist Foundation Model for Breast Pathology
by: Guo, Xiaojing, et al.
Published: (2026)
by: Guo, Xiaojing, et al.
Published: (2026)
PathVQ: Reforming Computational Pathology Foundation Model for Whole Slide Image Analysis via Vector Quantization
by: Li, Honglin, et al.
Published: (2025)
by: Li, Honglin, et al.
Published: (2025)
Plug-and-Play Logit Fusion for Heterogeneous Pathology Foundation Models
by: Huang, Gexin, et al.
Published: (2026)
by: Huang, Gexin, et al.
Published: (2026)
Similar Items
-
Simple Token-Efficient Vision-Language Model for Case-level Pathology Synoptic Report Generation
by: Yang, Zhiyuan, et al.
Published: (2026) -
Investigating Zero-Shot Diagnostic Pathology in Vision-Language Models with Efficient Prompt Design
by: Sharma, Vasudev, et al.
Published: (2025) -
Comparative Analysis of Diffusion Generative Models in Computational Pathology
by: Thakkar, Denisha, et al.
Published: (2024) -
AtlasPatch: Efficient Tissue Detection and High-throughput Patch Extraction for Computational Pathology at Scale
by: Alagha, Ahmed, et al.
Published: (2026) -
Vim4Path: Self-Supervised Vision Mamba for Histopathology Images
by: Nasiri-Sarvi, Ali, et al.
Published: (2024)