Deep learning and its role in COVID-19 medical imaging

por Desai, Sudhen B., Pareek, Anuj, Lungren, Matthew P.
Publicado 2020

Corrigendum: Conflicting information from the Food and Drug Administration: Missed opportunity to lead standards for safe and effective medical artificial intelligence solutions

por Hernandez-Boussard, Tina, Lungren, Matthew P, Shah, Nigam
Publicado 2021

Fusion of medical imaging and electronic health records using deep learning: a systematic review and implementation guidelines

por Huang, Shih-Cheng, Pareek, Anuj, Seyyedi, Saeed, Banerjee, Imon, Lungren, Matthew P.
Publicado 2020

Multimodal fusion with deep neural networks for leveraging CT imaging and electronic health record: a case-study in pulmonary embolism detection

por Huang, Shih-Cheng, Pareek, Anuj, Zamanian, Roham, Banerjee, Imon, Lungren, Matthew P.
Publicado 2020

Self-supervised learning for medical image classification: a systematic review and implementation guidelines

por Huang, Shih-Cheng, Pareek, Anuj, Jensen, Malte, Lungren, Matthew P., Yeung, Serena, Chaudhari, Akshay S.
Publicado 2023

Isolated Upper Extremity Posttransplant Lymphoproliferative Disorder in a Child

por Halula, Sarah E., Leino, Daniel G., Patel, Manish N., Racadio, John M., Lungren, Matthew P.
Publicado 2015

Developing medical imaging AI for emerging infectious diseases

por Huang, Shih-Cheng, Chaudhari, Akshay S., Langlotz, Curtis P., Shah, Nigam, Yeung, Serena, Lungren, Matthew P.
Publicado 2022

Multi-task weak supervision enables anatomically-resolved abnormality detection in whole-body FDG-PET/CT

por Eyuboglu, Sabri, Angus, Geoffrey, Patel, Bhavik N., Pareek, Anuj, Davidzon, Guido, Long, Jin, Dunnmon, Jared, Lungren, Matthew P.
Publicado 2021

AI-clinician collaboration via disagreement prediction: A decision pipeline and retrospective analysis of real-world radiologist-AI interactions

por Sanchez, Morgan, Alford, Kyle, Krishna, Viswesh, Huynh, Thanh M., Nguyen, Chanh D.T., Lungren, Matthew P., Truong, Steven Q.H., Rajpurkar, Pranav
Publicado 2023

fastMRI+, Clinical pathology annotations for knee and brain fully sampled magnetic resonance imaging data

por Zhao, Ruiyang, Yaman, Burhaneddin, Zhang, Yuxin, Stewart, Russell, Dixon, Austin, Knoll, Florian, Huang, Zhengnan, Lui, Yvonne W., Hansen, Michael S., Lungren, Matthew P.
Publicado 2022

MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports

por Johnson, Alistair E. W., Pollard, Tom J., Berkowitz, Seth J., Greenbaum, Nathaniel R., Lungren, Matthew P., Deng, Chih-ying, Mark, Roger G., Horng, Steven
Publicado 2019

AppendiXNet: Deep Learning for Diagnosis of Appendicitis from A Small Dataset of CT Exams Using Video Pretraining

por Rajpurkar, Pranav, Park, Allison, Irvin, Jeremy, Chute, Chris, Bereket, Michael, Mastrodicasa, Domenico, Langlotz, Curtis P., Lungren, Matthew P., Ng, Andrew Y., Patel, Bhavik N.
Publicado 2020

Cross-Modal Data Programming Enables Rapid Medical Machine Learning

por Dunnmon, Jared A., Ratner, Alexander J., Saab, Khaled, Khandwala, Nishith, Markert, Matthew, Sagreiya, Hersh, Goldman, Roger, Lee-Messer, Christopher, Lungren, Matthew P., Rubin, Daniel L., Ré, Christopher
Publicado 2020

Active label cleaning for improved dataset quality under resource constraints

por Bernhardt, Mélanie, Castro, Daniel C., Tanno, Ryutaro, Schwaighofer, Anton, Tezcan, Kerem C., Monteiro, Miguel, Bannur, Shruthi, Lungren, Matthew P., Nori, Aditya, Glocker, Ben, Alvarez-Valle, Javier, Oktay, Ozan
Publicado 2022

Development and Performance of the Pulmonary Embolism Result Forecast Model (PERFORM) for Computed Tomography Clinical Decision Support

por Banerjee, Imon, Sofela, Miji, Yang, Jaden, Chen, Jonathan H., Shah, Nigam H., Ball, Robyn, Mushlin, Alvin I., Desai, Manisha, Bledsoe, Joseph, Amrhein, Timothy, Rubin, Daniel L., Zamanian, Roham, Lungren, Matthew P.
Publicado 2019

CheXaid: deep learning assistance for physician diagnosis of tuberculosis using chest x-rays in patients with HIV

por Rajpurkar, Pranav, O’Connell, Chloe, Schechter, Amit, Asnani, Nishit, Li, Jason, Kiani, Amirhossein, Ball, Robyn L., Mendelson, Marc, Maartens, Gary, van Hoving, Daniël J., Griesel, Rulan, Ng, Andrew Y., Boyles, Tom H., Lungren, Matthew P.
Publicado 2020

PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Publicado 2020

Author Correction: PENet—a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging

por Huang, Shih-Cheng, Kothari, Tanay, Banerjee, Imon, Chute, Chris, Ball, Robyn L., Borus, Norah, Huang, Andrew, Patel, Bhavik N., Rajpurkar, Pranav, Irvin, Jeremy, Dunnmon, Jared, Bledsoe, Joseph, Shpanskaya, Katie, Dhaliwal, Abhay, Zamanian, Roham, Ng, Andrew Y., Lungren, Matthew P.
Publicado 2020

Human–machine partnership with artificial intelligence for chest radiograph diagnosis

por Patel, Bhavik N., Rosenberg, Louis, Willcox, Gregg, Baltaxe, David, Lyons, Mimi, Irvin, Jeremy, Rajpurkar, Pranav, Amrhein, Timothy, Gupta, Rajan, Halabi, Safwan, Langlotz, Curtis, Lo, Edward, Mammarappallil, Joseph, Mariano, A. J., Riley, Geoffrey, Seekins, Jayne, Shen, Luyao, Zucker, Evan, Lungren, Matthew P.
Publicado 2019

Author Correction: Human–machine partnership with artificial intelligence for chest radiograph diagnosis

por Patel, Bhavik N., Rosenberg, Louis, Willcox, Gregg, Baltaxe, David, Lyons, Mimi, Irvin, Jeremy, Rajpurkar, Pranav, Amrhein, Timothy, Gupta, Rajan, Halabi, Safwan, Langlotz, Curtis, Lo, Edward, Mammarappallil, Joseph, Mariano, A. J., Riley, Geoffrey, Seekins, Jayne, Shen, Luyao, Zucker, Evan, Lungren, Matthew P.
Publicado 2019