MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model

por Shazeeb, Mohammed Salman, Kalpathy-Cramer, Jayashree, Issa, Bashar
Publicado 2017

Medical content-based retrieval for clinical decision support: first MICCAI international workshop, MCBR-CBS 2009, London, UK, September 20, 2009 revised selected papers

por Duncan, James, Kalpathy-Cramer, Jayashree, Müller, Henning, Syeda-Mahmood, Tanveer, Wang, Fei
Publicado 2010

Artificial Intelligence and Glaucoma: Going Back to Basics

por AlRyalat, Saif Aldeen, Singh, Praveer, Kalpathy-Cramer, Jayashree, Kahook, Malik Y
Publicado 2023

Introduction to Machine Learning, Neural Networks, and Deep Learning

por Choi, Rene Y., Coyner, Aaron S., Kalpathy-Cramer, Jayashree, Chiang, Michael F., Campbell, J. Peter
Publicado 2020

Risk stratification with explainable machine learning for 30-day procedure-related mortality and 30-day unplanned readmission in patients with peripheral arterial disease

por Cox, Meredith, Panagides, J. C., Tabari, Azadeh, Kalva, Sanjeeva, Kalpathy-Cramer, Jayashree, Daye, Dania
Publicado 2022

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer

por Gutman, David A., Dunn, William D., Cobb, Jake, Stoner, Richard M., Kalpathy-Cramer, Jayashree, Erickson, Bradley
Publicado 2014

Artificial Intelligence in Retinopathy of Prematurity Diagnosis

por Scruggs, Brittni A., Chan, R. V. Paul, Kalpathy-Cramer, Jayashree, Chiang, Michael F., Campbell, J. Peter
Publicado 2020

Exercise‐induced calf muscle hyperemia: Rapid mapping of magnetic resonance imaging using deep learning approach

por Zhang, Jeff L., Conlin, Christopher C., Li, Xiaowan, Layec, Gwenael, Chang, Ken, Kalpathy‐Cramer, Jayashree, Lee, Vivian S.
Publicado 2020

External COVID-19 Deep Learning Model Validation on ACR AI-LAB: It’s a Brave New World

por Ardestani, Ali, Li, Matthew D., Chea, Pauley, Wortman, Jeremy R., Medina, Adam, Kalpathy-Cramer, Jayashree, Wald, Christoph
Publicado 2022

Automated tracking of emergency department abdominal CT findings during the COVID-19 pandemic using natural language processing

por Li, Matthew D., Wood, Peter A., Alkasab, Tarik K., Lev, Michael H., Kalpathy-Cramer, Jayashree, Succi, Marc D.
Publicado 2021

Patient-specific, mechanistic models of tumor growth incorporating artificial intelligence and big data

por Lorenzo, Guillermo, Ahmed, Syed Rakin, Hormuth, David A., Vaughn, Brenna, Kalpathy-Cramer, Jayashree, Solorio, Luis, Yankeelov, Thomas E., Gomez, Hector
Publicado 2023

Towards Generation, Management, and Exploration of Combined Radiomics and Pathomics Datasets for Cancer Research

por Saltz, Joel, Almeida, Jonas, Gao, Yi, Sharma, Ashish, Bremer, Erich, DiPrima, Tammy, Saltz, Mary, Kalpathy-Cramer, Jayashree, Kurc, Tahsin
Publicado 2017

Distributed deep learning networks among institutions for medical imaging

por Chang, Ken, Balachandar, Niranjan, Lam, Carson, Yi, Darvin, Brown, James, Beers, Andrew, Rosen, Bruce, Rubin, Daniel L, Kalpathy-Cramer, Jayashree
Publicado 2018

Computational Challenges and Collaborative Projects in the NCI Quantitative Imaging Network

por Farahani, Keyvan, Kalpathy-Cramer, Jayashree, Chenevert, Thomas L., Rubin, Daniel L., Sunderland, John J., Nordstrom, Robert J., Buatti, John, Hylton, Nola
Publicado 2016

SPIE-AAPM-NCI BreastPathQ Challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment

por Petrick, Nicholas, Akbar, Shazia, Cha, Kenny H., Nofech-Mozes, Sharon, Sahiner, Berkman, Gavrielides, Marios A., Kalpathy-Cramer, Jayashree, Drukker, Karen, Martel, Anne L.
Publicado 2021

DeepStrain: A Deep Learning Workflow for the Automated Characterization of Cardiac Mechanics

por Morales, Manuel A., van den Boomen, Maaike, Nguyen, Christopher, Kalpathy-Cramer, Jayashree, Rosen, Bruce R., Stultz, Collin M., Izquierdo-Garcia, David, Catana, Ciprian
Publicado 2021

Synthetic Medical Images for Robust, Privacy-Preserving Training of Artificial Intelligence: Application to Retinopathy of Prematurity Diagnosis

por Coyner, Aaron S., Chen, Jimmy S., Chang, Ken, Singh, Praveer, Ostmo, Susan, Chan, R. V. Paul, Chiang, Michael F., Kalpathy-Cramer, Jayashree, Campbell, J. Peter
Publicado 2022

Multi-Radiologist User Study for Artificial Intelligence-Guided Grading of COVID-19 Lung Disease Severity on Chest Radiographs

por Li, Matthew D., Little, Brent P., Alkasab, Tarik K., Mendoza, Dexter P., Succi, Marc D., Shepard, Jo-Anne O., Lev, Michael H., Kalpathy-Cramer, Jayashree
Publicado 2021

Improving the repeatability of deep learning models with Monte Carlo dropout

por Lemay, Andreanne, Hoebel, Katharina, Bridge, Christopher P., Befano, Brian, De Sanjosé, Silvia, Egemen, Didem, Rodriguez, Ana Cecilia, Schiffman, Mark, Campbell, John Peter, Kalpathy-Cramer, Jayashree
Publicado 2022

Highdicom: a Python Library for Standardized Encoding of Image Annotations and Machine Learning Model Outputs in Pathology and Radiology

por Bridge, Christopher P., Gorman, Chris, Pieper, Steven, Doyle, Sean W., Lennerz, Jochen K., Kalpathy-Cramer, Jayashree, Clunie, David A., Fedorov, Andriy Y., Herrmann, Markus D.
Publicado 2022