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ngboost
Natural Gradient Boosting for Probabilistic Predictionchexpert-labeler
CheXpert NLP tool to extract observations from radiology reports.nlc
Neural Language Correction implemented on TensorflowManyICL
CheXbert
Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERTstanfordmlgroup.github.io
Group Websitenlm-noising
blm
Our project on using computer vision to combat computer vision for a cause I hope you care about. #BlackLivesMatterMoCo-CXR
MoCo-based unsupervised training for Chest X-Ray Interpretationdisentanglement
Official repository for our ICLR 2021 paper Evaluating the Disentanglement of Deep Generative Models with Manifold TopologyDLBCL-Morph
DLBCL-Morph dataset containing high resolution tissue microarray scans from 209 DLBCL cases, with geometric features computed using deep learningMedSelect
Learns effective selective labeling strategies for medical images using deep reinforcement learning and meta learningcheXphoto
Code used in paper "CheXphoto: 10,000+ Smartphone Photos and Synthetic Photographic Transformations of Chest X-rays for Benchmarking Deep Learning Robustness"VisualCheXbert
Addressing the Discrepancy Between Radiology Report Labels and Image Labelsdq
Queue system (jobs) on the deep clustercdr-mimic
Official Repository for our UAI paper Countdown Regression on the MIMIC-III Datasetselfsupervised-lungandheartsounds
mobius
methane-gapfill-ml
Python codebase for gap-filling eddy covariance methane fluxes at FLUXNET-CH4 wetlands with machine learning.CheXseg
Code used in the paper "CheXseg: Combining Expert Annotations with DNN-generated Saliency Maps for X-ray Segmentation"LaunchPad
LaunchPad is a light-weighted Slurm job launcher designed for hyper-parameter search.risk-adjustment-ml
Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments.lca-code
LiverCancerAssistantAuto-Generate-WLs
Code repository supporting the paper "Auto-Generating Weak Labels for Real & Synthetic Data to Improve Label-Scarce Medical Image Segmentation" - MIDL 2024MedAug
Public release for MedAugCheXaid
influenza-qtof
Novel metabolomics approach combined with machine learning for the diagnosis of influenza from nasopharyngeal specimensed-monitor-data
Used to extract and process bedside monitoring data from the ED. Also contains a module useful for training machine learning models on the extracted data.InterActive-Learning-Toolkit
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