Cover Image

Streamline pathology foundation model by cross-magnification distillation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Su, Ziyu, Akbar, Abdul Rehman, Sajjad, Usama, Parwani, Anil V., Niazi, Muhammad Khalid Khan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unified Multi-Foundation-Model Slide Representation for Pan-Cancer Recognition and Text-Guided Tumor Localization
by: Wang, Tianyang, et al.
Published: (2026)

Dino-NestedUNet: Unlocking Foundation Vision Encoders for Pathology Tumor Bulk Segmentation via Dense Decoding
by: Wang, Tianyang, et al.
Published: (2026)

Morphology-Aware Prognostic model for Five-Year Survival Prediction in Colorectal Cancer from H&E Whole Slide Images
by: Sajjad, Usama, et al.
Published: (2025)

Learning the Language of Histopathology Images reveals Prognostic Subgroups in Invasive Lung Adenocarcinoma Patients
by: Akbar, Abdul Rehman, et al.
Published: (2025)

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

HistoMet: A Pan-Cancer Deep Learning Framework for Prognostic Prediction of Metastatic Progression and Site Tropism from Primary Tumor Histopathology
by: Chen, Yixin, et al.
Published: (2026)

Hyperparameter Optimization and Reproducibility in Deep Learning Model Training
by: Afzaal, Usman, et al.
Published: (2025)

PathoScribe: Transforming Pathology Data into a Living Library with a Unified LLM-Driven Framework for Semantic Retrieval and Clinical Integration
by: Akbar, Abdul Rehman, et al.
Published: (2026)

RANGER: Sparsely-Gated Mixture-of-Experts with Adaptive Retrieval Re-ranking for Pathology Report Generation
by: Chen, Yixin, et al.
Published: (2026)

Progressive Translation of H&E to IHC with Enhanced Structural Fidelity
by: Kang, Yuhang, et al.
Published: (2025)

Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation
by: Khan, Hikmat, et al.
Published: (2026)

Inferring Clinically Relevant Molecular Subtypes of Pancreatic Cancer from Routine Histopathology Using Deep Learning
by: Akbar, Abdul Rehman, et al.
Published: (2026)

Rapidly deploying on-device eye tracking by distilling visual foundation models
by: Jiang, Cheng, et al.
Published: (2026)

VISTA-PATH: An interactive foundation model for pathology image segmentation and quantitative analysis in computational pathology
by: Liang, Peixian, et al.
Published: (2026)

Enabling clinical use of foundation models for computational pathology
by: Henriksen, Audun L, et al.
Published: (2026)

Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast Cancer Using Pre-Treatment Histopathologic Images
by: Khan, Hikmat, et al.
Published: (2025)

NURBGen: High-Fidelity Text-to-CAD Generation through LLM-Driven NURBS Modeling
by: Usama, Muhammad, et al.
Published: (2025)

A multimodal vision foundation model for generalizable knee pathology
by: Yu, Kang, et al.
Published: (2026)

Tissue Concepts: supervised foundation models in computational pathology
by: Nicke, Till, et al.
Published: (2024)

PathBench: A comprehensive comparison benchmark for pathology foundation models towards precision oncology
by: Ma, Jiabo, et al.
Published: (2025)

Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
by: Pan, Shi, et al.
Published: (2025)

Contrastive-SDXL: Annotation-Preserving Night-Time Augmentation for Pedestrian Detection
by: George, Franky, et al.
Published: (2026)

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
by: Khan, Abdul Rehman, et al.
Published: (2023)

Training state-of-the-art pathology foundation models with orders of magnitude less data
by: Karasikov, Mikhail, et al.
Published: (2025)

Joint Audio-Visual Idling Vehicle Detection with Streamlined Input Dependencies
by: Li, Xiwen, et al.
Published: (2024)

Benchmarking foundation models as feature extractors for weakly-supervised computational pathology
by: Neidlinger, Peter, et al.
Published: (2024)

From Graphs to Gates: DNS-HyXNet, A Lightweight and Deployable Sequential Model for Real-Time DNS Tunnel Detection
by: Ali, Faraz, et al.
Published: (2025)

Technical report on label-informed logit redistribution for better domain generalization in low-shot classification with foundation models
by: Khan, Behraj, et al.
Published: (2025)

LiGuard: A Streamlined Open-Source Framework for Rapid & Interactive Lidar Research
by: Shahbaz, Muhammad, et al.
Published: (2025)

A high-resolution nationwide urban village mapping product for 342 Chinese cities based on foundation models
by: Bai, Lubin, et al.
Published: (2026)

EMF: Event Meta Formers for Event-based Real-time Traffic Object Detection
by: Khan, Muhammad Ahmed Ullah, et al.
Published: (2025)

Hybrid State-Space and GRU-based Graph Tokenization Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2025)

Learning biologically relevant features in a pathology foundation model using sparse autoencoders
by: Le, Nhat Minh, et al.
Published: (2024)

Channel Boosted CNN-Transformer-based Multi-Level and Multi-Scale Nuclei Segmentation
by: Rauf, Zunaira, et al.
Published: (2024)

Enhancing Blind Source Separation with Dissociative Principal Component Analysis
by: Khalid, Muhammad Usman
Published: (2024)

TasselNetV4: A vision foundation model for cross-scene, cross-scale, and cross-species plant counting
by: Hu, Xiaonan, et al.
Published: (2025)

HistoEncoder: a digital pathology foundation model for prostate cancer
by: Pohjonen, Joona, et al.
Published: (2024)

Distilling foundation models for robust and efficient models in digital pathology
by: Filiot, Alexandre, et al.
Published: (2025)

AI-based Wearable Vision Assistance System for the Visually Impaired: Integrating Real-Time Object Recognition and Contextual Understanding Using Large Vision-Language Models
by: Baig, Mirza Samad Ahmed, et al.
Published: (2024)

Automated Tomato Maturity Estimation Using an Optimized Residual Model with Pruning and Quantization Techniques
by: Waseem, Muhammad, et al.
Published: (2025)