TorchXRayVision @torchxrayvision
A library for chest X-ray datasets and models. Including pre-trainined deep learning models. Overview: https://t.co/q0JIWqj9XR github.com/mlmed/torchxra… Joined May 2020-
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🎃 A spooky dancing chest X-ray for Halloween! 🎃
A thorough study evaluating a TorchXRayVision model! "An adult-trained model adequately detected pneumonia in pediatric patients aged 1 to 5 years." By @gmorcosmd @PaulYiMD @jjeudymd sciencedirect.com/science/articl…
XRV Usage Highlight: Improving radiology report generation by injecting symptom graph information. KiUT: Knowledge-injected U-Transformer for Radiology Report Generation arxiv.org/abs/2306.11345 Work from: @sjtu1896 @SenseTime_AI
XRV Usage Highlight: Prediction of surgical phase in port-catheter placement operations using speech and chest X-ray images. arxiv.org/abs/2305.15993 Work from: @UniFAU
Age prediction from CXR now available from a group at @RIKEN_IMS. Reported MAE of 3.67 years! model = xrv.baseline_models.riken.AgeModel() Results are good! Demo: github.com/mlmed/torchxra… nature.com/articles/s4385…
Race detection model now available in XRV! model = xrv.baseline_models.emory_hiti.RaceModel() Demo notebook: github.com/mlmed/torchxra… From the team Publication about model: thelancet.com/journals/landi…
"CheXRelNet incorporates local and global visual features [to] predict disease change for a pair of CXRs." CheXRelNet: An Anatomy-Aware Model for Tracking Longitudinal Relationships between Chest X-Rays arxiv.org/abs/2208.03873
Now segment anatomy in #CXR images with ease! model = xrv.baseline_models.chestx_det.PSPNet() From the great work of Deepwise AI! arxiv.org/abs/2104.10326 Demo: github.com/mlmed/torchxra…
XRV usage highlight! Survival Analysis on Chest Radiographs with Deep Learning Mingzhu Liu, Chirag Nagpal, Artur Dubrawski cs.cmu.edu/~chiragn/paper… Video poster: youtube.com/watch?v=CD02L4…
XRV usage highlight! Pre-trained models used to predict pathologies from images and then used in a downstream model. "Potential Features of ICU Admission in X-ray Images of COVID-19 Patients" Douglas P. S. Gomes et al. arxiv.org/abs/2009.12597
XRV usage highlight! Integrated multimodal artificial intelligence framework for healthcare applications Luis R. Soenksen (@LuisSoenksen) et al. @MIT @MITSloan arxiv.org/abs/2202.12998
XRV usage highlight! Exploring How Anomalous Model Input and Output Alerts Affect Decision-Making Marissa Radensky (@marissa_rad), Dustin Burson, Rajya Bhaiya, Daniel S. Weld (@dsweld) arxiv.org/abs/2204.13194
In case you missed the TorchXRayVision presentation at #MIDL2022 ! A library of pre-trained models and datasets! youtube.com/watch?v=lvXc3O…
XRV usage highlight! Multimodal Radiology Report Summarization Jean-Benoit Delbrouck, Cassie Zhang, Daniel Rubin aclanthology.org/2021.bionlp-1.… @StanfordAIMI @StanfordRad
@MELBAJournal Very pleased to see the @ipmi2021 special issue in @MELBAJournal now out! All free to read, with PDFs, Code, Videos... Enjoy the read and build up upon - next #IPMI2023 deadline is just around the corner! Full @ipmi2021 programme still on ipmi2021.org
@torchxrayvision is on track! star-history.com/#mlmed/torchxr…
You're invited! Join us Dec 8-9, when experts & leaders from academia, industry, government, and clinical practice convene @StanfordMed to explore critical & emerging issues related to impact of AI across the spectrum of health. bit.ly/AIhealth21 @StanfordHAI @StanfordCME
Deploying #radiology #AI systems into clinical practice for lymphoscintigraphy exams doi.org/10.1148/ryai.2… @EliotSiegel @rubinqilab @integratorbrad #interop #interoperability #MachineLearning
This library is the result of the last 2 years of my research with everyone involved! I think it is the needed software infrastructure to tackle the major challenges of generalization in medical imaging. Let's move forward, faster!
This library is the result of the last 2 years of my research with everyone involved! I think it is the needed software infrastructure to tackle the major challenges of generalization in medical imaging. Let's move forward, faster!
TorchXRayVision (the paper) now exists! arxiv.org/abs/2111.00595 XRV is an open source software library for working with chest X-ray datasets and deep learning models based on PyTorch! Goals: + Evaluating models + Developing models + Studying model failures and limitations

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