Pinned Repositories
aisuite
Simple, unified interface to multiple Generative AI providers
Awesome-Medical-Dataset
Collection of awesome medical dataset resources.
awesome-self-supervised-learning-for-tabular-data
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
convoca
Predict and analyze cellular automata using convolutional neural networks
deep_cox_mixtures
Code for the paper "Deep Cox Mixtures for Survival Regression", Machine Learning for Healthcare Conference 2021
DeepPATH
Classification of Lung cancer slide images using deep-learning
genomic-scoring-breast-cancer-progression
Project in which we use image based chromatin(NMCO) features to identify abnormal cells in TMA
hact-net
HAIM
This repository contains the code to replicate the data processing, modeling and reporting of our Holistic AI in Medicine (HAIM) Publication in Nature Machine Intelligence (Soenksen LR, Ma Y, Zeng C et al. 2022).
hs2p
Histopathology Slides Preprocessing Pipeline
yujing1997's Repositories
yujing1997/awesome-self-supervised-learning-for-tabular-data
A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)
yujing1997/hs2p
Histopathology Slides Preprocessing Pipeline
yujing1997/MedLlama-QA-Advanced-Medical-Question-Answering-with-Llama-2-7b-and-RAG
Utilizing Llama-2-7b and RAG, this medical QA system ensures precise, contextually accurate answers. With advanced embeddings and a robust tech stack, MedLlama-QA achieves superior accuracy, reducing hallucinations and outperforming standard language models.
yujing1997/2D-VQ-AE-2
2D Vector-Quantized Auto-Encoder for compression of Whole-Slide Images in Histopathology
yujing1997/auton-survival
Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events
yujing1997/chromark
Code for the manuscript: "Single-cell imaging-AI based chromatin biomarkers for diagnosis and therapy evaluation in tumor patients using liquid biopsies". Code was developed by Daniel Paysan
yujing1997/CRC_DL_Survival_Curves
yujing1997/dysts_ML_chaos_predictor
More than a hundred strange attractors
yujing1997/FeatureAnalysisExploratory
yujing1997/fromtexttotables
Leveraging
yujing1997/HECTOR
Multimodal deep learning to predict distant recurrence-free probability from digitized H&E tumour slide and tumour stage.
yujing1997/ImageBind
ImageBind One Embedding Space to Bind Them All
yujing1997/M3L
Official repository for "Missing Modality Robustness in Semi-Supervised Multi-Modal Semantic Segmentation"
yujing1997/McMedHacks_TransferLearning
yujing1997/medical-reasoning
Medical reasoning using large language models
yujing1997/MedSAM
The official repository for MedSAM: Segment Anything in Medical Images.
yujing1997/MedSAMSlicer
3D Slicer Plugin for Segment anything in medical images
yujing1997/MICCAI_MultimodalTransformerPathOmics
[MICCAI 2023] The official code of "Pathology-and-genomics Multimodal Transformer for Survival Outcome Prediction" (Accepted to MICCAI2023, , top14%)
yujing1997/Multi-Label-Survival-Prediction
RedJournal "Vision Transformer-Based Multilabel Survival Prediction for Oropharynx Cancer After Radiation Therapy"
yujing1997/Multi-omics-noise-resistance
More data, more problems? On noise resistance in multi-omics cancer survival models
yujing1997/nnet-survival
Discrete-Time Survival Model for Neural Networks
yujing1997/plip
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI. PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
yujing1997/pycox
Survival analysis with PyTorch
yujing1997/pysurvival
Open source package for Survival Analysis modeling
yujing1997/RepresentationLearning_SS2023
Representation Learning MSc course Summer Semester 2023
yujing1997/SurvLIMEpy
Local interpretability for survival models
yujing1997/survshap
SurvSHAP(t): Time-dependent explanations of machine learning survival models
yujing1997/SYNDSURV
yujing1997/TCGA-lung-histology-download
Downloading and Creating labels for the TCGA lung Whole Slide Images
yujing1997/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2022/Spring 2022