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Histopathology Language-image Representation Learning for Fine-grained Digital Pathology Cross-modal Retrieval
A search engine for Digital Histopathology Archives
[NeurIPS 2024 Best Paper][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ult…
Project for "HyperSeg: Towards Universal Visual Segmentation with Large Language Model".
The official repository of the paper 'Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine'
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Multimodal Whole Slide Foundation Model for Pathology
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Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Official implementation of NeurIPS 2024 "Visual Fourier Prompt Tuning"
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology - CVPR 2024
[MICCAI 2024] Official Repo of "HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction"
Analysis of 3D pathology samples using weakly supervised AI - Cell
Visual Language Pretrained Multiple Instance Zero-Shot Transfer for Histopathology Images - CVPR 2023
[NeurIPS 2023 Oral] Quilt-1M: One Million Image-Text Pairs for Histopathology.
A vision-language foundation model for computational pathology - Nature Medicine
[ICLR 2024]Implementation of "Prototypical Information Bottlenecking and Disentangling for Multimodal Cancer Survival Prediction"
Prov-GigaPath: A whole-slide foundation model for digital pathology from real-world data
MambaOut: Do We Really Need Mamba for Vision?
Revealing Hidden Patterns in Deep Neural Network Feature Space Continuum via Manifold Learning (Nature Communications, 2023)
EMNLP'22 | MedCLIP: Contrastive Learning from Unpaired Medical Images and Texts