Jayashree Kalpathy-Cramer (J Kalpathy-Cramer)

Scopus Author ID ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 63

Top Venues

Radiology. Artificial intelligence

Radiology. Imaging cancer

Journal of medical imaging (Bellingham, Wash.)

Radiology

Massachusetts General Hospital

Rensselaer Polytechnic Institute (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Massachusetts General Hospital

United States

Associate Professor :: Radiology

Education History

Rensselaer Polytechnic Institute

United States

PHD :: Electrical Engineering

Rensselaer Polytechnic Institute

United States

MSC :: Electrical Engineering

Publications

Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Mary Jane Lim-Fat, J Bryan Iorgulescu, Rifaquat Rahman, Varun M Bhave, Alona Muzikansky, Eleanor Woodward, Sydney Whorral, Marie Allen, Mehdi Touat, Xiaomei Li, Gongwen Xu, Jay Patel, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer, Gilbert Youssef, Ugonma N Chukwueke, J Ricardo McFaline-Figueroa, Lakshmi Nayak, Eudocia Quant Lee, David A Reardon, Rameen Beroukhim, Raymond Y Huang, Wenya Linda Bi, Keith L Ligon, Patrick Yung Wen
Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma. Clinical cancer research : an official journal of the American Association for Cancer Research 30 (7) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence 6 (3) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence 6 (4) (2024)
Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyung Hyun Sung, Anum K Syed, Julie C DiCarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge. Radiology. Imaging cancer 6 (1) (2024)
Felipe Campos Kitamura, Luciano M Prevedello, Errol Colak, Safwan S Halabi, Matthew P Lungren, Robyn L Ball, Jayashree Kalpathy-Cramer, Charles E Kahn, Tyler Richards, Jason F Talbott, George Shih, Hui Ming Lin, Katherine P Andriole, Maryam Vazirabad, Bradley J Erickson, Adam E Flanders, John T Mongan
Lessons Learned in Building Expertly Annotated Multi-Institution Datasets and Hosting the RSNA AI Challenges. Radiology. Artificial intelligence (2024)
Katharina Viktoria Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Aurélio Pinho de Oliveira, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer
Expert-centered Evaluation of Deep Learning Algorithms for Brain Tumor Segmentation. Radiology. Artificial intelligence 6 (1) (2024)
Mary Jane Lim-Fat, J Bryan Iorgulescu, Rifaquat Rahman, Varun M Bhave, Alona Muzikansky, Eleanor Woodward, Sydney Whorral, Marie Allen, Mehdi Touat, Xiaomei Li, Gongwen Xu, Jay Patel, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer, Gilbert Youssef, Ugonma N Chukwueke, J Ricardo McFaline-Figueroa, Lakshmi Nayak, Eudocia Quant Lee, David A Reardon, Rameen Beroukhim, Raymond Y Huang, Wenya Linda Bi, Keith L Ligon, Patrick Yung Wen
Clinical and Genomic Predictors of Adverse Events in Newly Diagnosed Glioblastoma. Clinical cancer research : an official journal of the American Association for Cancer Research 30 (7) (2024)
Marius George Linguraru, Spyridon Bakas, Mariam S Aboian, Peter D Chang, Adam E Flanders, Jayashree Kalpathy-Cramer, Felipe Campos Kitamura, Matthew P Lungren, John T Mongan, Luciano M Prevedello, Ronald M Summers, Carol Chia Chia Wu, Maruf Adewole, Charles E Kahn
Clinical, Cultural, Computational, and Regulatory Considerations to Deploy AI in Radiology: Perspectives of RSNA and MICCAI Experts. Radiology. Artificial intelligence (2024)
Mary Jane Lim-Fat, J Bryan Iorgulescu, Rifaquat Rahman, Varun M Bhave, Alona Muzikansky, Eleanor Woodward, Sydney Whorral, Marie Allen, Mehdi Touat, Xiaomei Li, Gongwen Xu, Jay Patel, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer, Gilbert Youssef, Ugonma N Chukwueke, J Ricardo McFaline-Figueroa, Lakshmi Nayak, Eudocia Quant Lee, David A Reardon, Rameen Beroukhim, Raymond Y Huang, Wenya Linda Bi, Keith L Ligon, Patrick Yung Wen
Clinical and genomic predictors of adverse events in newly diagnosed glioblastoma. Clinical cancer research : an official journal of the American Association for Cancer Research (2024)
Saif Aldeen S AlRyalat, Praveer Singh, Jayashree Kalpathy-Cramer, Malik Y Kahook
Artificial Intelligence and Glaucoma: Going Back to Basics. Clinical ophthalmology (Auckland, N.Z.) 17 (2023)
K Ina Ly, Leland G K Richardson, Mofei Liu, Alona Muzikansky, Jonathan Cardona, Kevin Lou, Andrew L Beers, Ken Chang, James M Brown, Xiaoyue Ma, David A Reardon, Isabel C Arrillaga-Romany, Deborah A Forst, Justin T Jordan, Eudocia Quant Lee, Jorg Dietrich, Lakshmi Nayak, Patrick Yung Wen, Ugonma N Chukwueke, Anita Giobbie-Hurder, Bryan D Choi, Tracy T Batchelor, Jayashree Kalpathy-Cramer, William T Curry, Elizabeth R Gerstner
Bavituximab decreases immunosuppressive myeloid-derived suppressor cells in newly diagnosed glioblastoma patients. Clinical cancer research : an official journal of the American Association for Cancer Research (2023)
Heather M Whitney, Natalie Baughan, Kyle J Myers, Kenny H Cha, Judy Wawira Gichoya, Brad Bower, Weijie Chen, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Oluwasanmi O Koyejo, Rui Carlos Sá, Berkman Sahiner, Zi Zhang, Maryellen L Giger
Longitudinal assessment of demographic representativeness in the Medical Imaging and Data Resource Center open data commons. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Silvia de Sanjosé, Rebecca B Perkins, Nicole G Campos, Federica Inturrisi, Didem Egemen, Brian Befano, Ana Cecilia Rodriguez, Jose Jeronimo, Li C Cheung, Kanan T Desai, Paul K J Han, Akiva P Novetsky, Abigail Ukwuani, Jenna Z Marcus, Syed Rakin Ahmed, Nicolas Wenstzensen, Jayashree Kalpathy-Cramer, Mark Schiffman, null null
Design of the HPV-Automated Visual Evaluation (PAVE) Study: Validating a Novel Cervical Screening Strategy. medRxiv : the preprint server for health sciences (2023)
Hui Ming Lin, Errol Colak, Tyler Richards, Felipe Campos Kitamura, Luciano M Prevedello, Jason F Talbott, Robyn L Ball, Ekim Gumeler, Kristen W Yeom, Mohammad Hamghalam, Amber L Simpson, Jasna Strika, Deniz Bulja, Salita Angkurawaranon, Almudena Pérez-Lara, María Isabel Gómez-Alonso, Johanna Ortiz Jiménez, Jacob J Peoples, Meng Law, Hakan Dogan, Emre Altinmakas, Ayda Youssef, Yasser Mahfouz, Jayashree Kalpathy-Cramer, Adam E Flanders, null null
The RSNA Cervical Spine Fracture CT Dataset. Radiology. Artificial intelligence 5 (5) (2023)
Despina Kontos, Jayashree Kalpathy-Cramer
Breast Cancer Risk Assessment in the AI Era: The Importance of Model Validation in Ethnically Diverse Cohorts. Radiology. Artificial intelligence 5 (6) (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Arne Lauer, Samantha L Speroni, Myoung Choi, Xiao Da, Christine Duncan, Siobhan McCarthy, Vijai Krishnan, Cole A Lusk, David Rohde, Mikkel Bo Hansen, Jayashree Kalpathy-Cramer, Daniel J Loes, Paul A Caruso, David A Williams, Kim Mouridsen, Kyrre E Emblem, Florian S Eichler, Patricia L Musolino
Hematopoietic stem-cell gene therapy is associated with restored white matter microvascular function in cerebral adrenoleukodystrophy. Nature communications 14 (1) (2023)
Sharut Gupta, Sourav Kumar, Ken Chang, Charles Lu, Praveer Singh, Jayashree Kalpathy-Cramer
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics : a review publication of the Radiological Society of North America, Inc 43 (4) (2023)
Sharut Gupta, Sourav Kumar, Ken Chang, Charles Lu, Praveer Singh, Jayashree Kalpathy-Cramer
Collaborative Privacy-preserving Approaches for Distributed Deep Learning Using Multi-Institutional Data. Radiographics : a review publication of the Radiological Society of North America, Inc 43 (4) (2023)
Kenny H Cha, Weijie Chen, Judy Wawira Gichoya, Nicholas Gruszauskas, Jayashree Kalpathy-Cramer, Sanmi Koyejo, Kyle J Myers, Rui Carlos Sá, Berkman Sahiner, Heather M Whitney, Zi Zhang, Maryellen L Giger
Toward fairness in artificial intelligence for medical image analysis: identification and mitigation of potential biases in the roadmap from data collection to model deployment. Journal of medical imaging (Bellingham, Wash.) 10 (6) (2023)
Sourav Kumar, A Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health : Third MICCAI Workshop, DeCaF 2022 and Second MICCAI Workshop, FAIR 2022, held in conjunction with MICCAI 2022, Sin... 13573 (2022)
Cory Robinson-Weiss, Jay Patel, Bernardo Canedo Bizzo, Daniel I Glazer, Christopher P Bridge, Katherine P Andriole, Borna Dabiri, John K Chin, Keith J Dreyer, Jayashree Kalpathy-Cramer, William W Mayo-Smith
Machine Learning for Adrenal Gland Segmentation and Classification of Normal and Adrenal Masses at CT. Radiology (2022)
Sourav Kumar, A Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health : Third MICCAI Workshop, DeCaF 2022 and Second MICCAI Workshop, FAIR 2022, held in conjunction with MICCAI 2022, Sin... 13573 (2022)
Sourav Kumar, A Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. Distributed, collaborative, and federated learning, and affordable AI and healthcare for resource diverse global health : Third MICCAI Workshop, DeCaF 2022 and Second MICCAI Workshop, FAIR 2022, held in conjunction with MICCAI 2022, Sin... 13573 (2022)
Matthew D Li, Nishanth T Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P Little, Dexter P Mendoza, Gustavo C A Corradi, Marcelo S Takahashi, Suely F Ferraciolli, Marc D Succi, Min Lang, Bernardo C Bizzo, Ittai Dayan, Felipe C Kitamura, Jayashree Kalpathy-Cramer
Multi-population generalizability of a deep learning-based chest radiograph severity score for COVID-19. Medicine 101 (29) (2022)
Mishka Gidwani, Ken Chang, Jay Biren Patel, Katharina Viktoria Hoebel, Syed Rakin Ahmed, Praveer Singh, Clifton David Fuller, Jayashree Kalpathy-Cramer
Inconsistent Partitioning and Unproductive Feature Associations Yield Idealized Radiomic Models. Radiology (2022)
Andreanne Lemay, Katharina Viktoria Hoebel, Christopher P Bridge, Brian Befano, Silvia De Sanjosé, Didem Egemen, Ana Cecilia Rodriguez, Mark Schiffman, John Peter Campbell, Jayashree Kalpathy-Cramer
Improving the repeatability of deep learning models with Monte Carlo dropout. NPJ digital medicine 5 (1) (2022)
Christopher P Bridge, Till Dominik Best, Maria M Wrobel, J Peter Marquardt, Kirti Magudia, Cylen Javidan, Jonathan H Chung, Jayashree Kalpathy-Cramer, Katherine P Andriole, Florian J Fintelmann
A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans. Radiology. Artificial intelligence 4 (1) (2022)
Nicholas Petrick, Shazia Akbar, Kenny H Cha, Sharon Nofech-Mozes, Berkman Sahiner, Marios A Gavrielides, Jayashree Kalpathy-Cramer, Kenny H Cha, Anne L Martel, null null
SPIE-AAPM-NCI BreastPathQ challenge: an image analysis challenge for quantitative tumor cellularity assessment in breast cancer histology images following neoadjuvant treatment. Journal of medical imaging (Bellingham, Wash.) 8 (3) (2021)
Emily B Tsai, Scott Simpson, Matthew P Lungren, Michelle Hershman, Leonid Roshkovan, Errol Colak, Bradley J Erickson, George Shih, Anouk Stein, Jayashree Kalpathy-Cramer, Jody Shen, Mona Ahmed Fouad Hafez, Susan John, Prabhakar Shantha Rajiah, Brian P Pogatchnik, John T Mongan, Emre Altinmakas, Erik R Ranschaert, Felipe Campos Kitamura, Laurens Topff, Linda Moy, Jeffrey P Kanne, Carol Chia Chia Wu
The RSNA International COVID-19 Open Radiology Database (RICORD). Radiology 299 (1) (2021)
Min Lang, Matthew D Li, K Z Jiang, Byung C Yoon, Dexter P Mendoza, Efrén J Flores, Sandra Rincon, William A Mehan, John Conklin, Susie Y Huang, A L Lang, Duc M Giao, Thabele M Leslie-Mazwi, Jayashree Kalpathy-Cramer, Brent P Little, Karen Buch
Severity of Chest Imaging is Correlated with Risk of Acute Neuroimaging Findings among Patients with COVID-19. AJNR. American journal of neuroradiology 42 (5) (2021)
John T Mongan, Jayashree Kalpathy-Cramer, Adam E Flanders, Marius George Linguraru
RSNA-MICCAI Panel Discussion: Machine Learning for Radiology from Challenges to Clinical Applications. Radiology. Artificial intelligence 3 (5) (2021)
Nishanth Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Viktoria Hoebel, Sharut Gupta, Jay Patel, Mishka Gidwani, Julius Adebayo, Matthew D Li, Jayashree Kalpathy-Cramer
Assessing the Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. Radiology. Artificial intelligence 3 (6) (2021)
Errol Colak, Felipe Campos Kitamura, Stephen B Hobbs, Carol Chia Chia Wu, Matthew P Lungren, Luciano M Prevedello, Jayashree Kalpathy-Cramer, Robyn L Ball, George Shih, Anouk Stein, Safwan S Halabi, Emre Altinmakas, Meng Law, Parveen Kumar, Karam A Manzalawi, Dennis Charles Nelson Rubio, Jacob W Sechrist, Pauline Germaine, Eva Castro Lopez, Tomas Amerio, Pushpender Gupta, Manoj Jain, Fernando U Kay, Cheng Ting Lin, Saugata Sen, Jonathan Wesley Revels, Carola C Brussaard, John Mongan, null null
The RSNA Pulmonary Embolism CT Dataset. Radiology. Artificial intelligence 3 (2) (2021)
Matthew D Li, Ken Chang, Ben Bearce, Connie Y Chang, Ambrose J Huang, John Peter Campbell, James M Brown, Praveer Singh, Katharina V Hoebel, Deniz Erdoğmuş, Stratis Ioannidis, William E Palmer, Michael F Chiang, Jayashree Kalpathy-Cramer
Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. NPJ digital medicine 3 (2020)
Matthew D Li, Min Lang, Francis Deng, Ken Chang, Karen Buch, Sandra Rincon, William A Mehan, Thabele M Leslie-Mazwi, Jayashree Kalpathy-Cramer
Analysis of Stroke Detection during the COVID-19 Pandemic Using Natural Language Processing of Radiology Reports. AJNR. American journal of neuroradiology 42 (3) (2020)
Matthew D Li, Nishanth Thumbavanam Arun, Mishka Gidwani, Ken Chang, Francis Deng, Brent P Little, Dexter P Mendoza, Min Lang, Susanna I Lee, Aileen O'Shea, Anushri Parakh, Praveer Singh, Jayashree Kalpathy-Cramer
Automated Assessment and Tracking of COVID-19 Pulmonary Disease Severity on Chest Radiographs using Convolutional Siamese Neural Networks. Radiology. Artificial intelligence 2 (4) (2020)
Matthew D Li, Nishanth T Arun, Mehak Aggarwal, Sharut Gupta, Praveer Singh, Brent P Little, Dexter P Mendoza, Gustavo C A Corradi, Marcelo S Takahashi, Suely F Ferraciolli, Marc D Succi, Min Lang, Bernardo C Bizzo, Ittai Dayan, Felipe C Kitamura, Jayashree Kalpathy-Cramer
Improvement and Multi-Population Generalizability of a Deep Learning-Based Chest Radiograph Severity Score for COVID-19. medRxiv : the preprint server for health sciences (2020)
Adam E Flanders, Luciano M Prevedello, George Shih, Safwan S Halabi, Jayashree Kalpathy-Cramer, Robyn L Ball, John T Mongan, Anouk Stein, Felipe Campos Kitamura, Matthew P Lungren, Gagandeep Choudhary, Lesley Cala, Luiz Otavio de Mattos Coelho, Monique A Mogensen, Fanny Morón, Elka Miller, Ichiro Ikuta, Vahe Zohrabian, Olivia McDonnell, Christie M Lincoln, Lubdha M Shah, David Joyner, Amit Kumar Agarwal, Ryan K Lee, Jaya Nath, null null
Construction of a Machine Learning Dataset through Collaboration: The RSNA 2019 Brain CT Hemorrhage Challenge. Radiology. Artificial intelligence 2 (3) (2020)
Curtis P Langlotz, Bibb Allen, Bradley J Erickson, Jayashree Kalpathy-Cramer, Keith Bigelow, Tessa Sundaram Cook, Adam E Flanders, Matthew P Lungren, David S Mendelson, Jeffrey D Rudie, G E Wang, Krishna Kandarpa
A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop. Radiology 291 (3) (2019)
Manuel A Morales, David Izquierdo-Garcia, Iman Aganj, Jayashree Kalpathy-Cramer, Bruce R Rosen, Ciprian Catana
Implementation and Validation of a Three-dimensional Cardiac Motion Estimation Network. Radiology. Artificial intelligence 1 (4) (2019)
K Ina Ly, Bella Vakulenko-Lagun, Kyrre E Emblem, Yangming Ou, Xiao Da, Rebecca A Betensky, Jayashree Kalpathy-Cramer, Dan G Duda, Rakesh K Jain, Andrew S Chi, Scott R Plotkin, Tracy T Batchelor, Gregory Sorensen, Bruce R Rosen, Elizabeth R Gerstner
Publisher Correction: Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Scientific reports 9 (1) (2019)
Luciano M Prevedello, Safwan S Halabi, George Shih, Carol C Wu, Marc D Kohli, Falgun H Chokshi, Bradley J Erickson, Jayashree Kalpathy-Cramer, Katherine P Andriole, Adam E Flanders
Challenges Related to Artificial Intelligence Research in Medical Imaging and the Importance of Image Analysis Competitions. Radiology. Artificial intelligence 1 (1) (2019)
Ian Pan, Hans Henrik Thodberg, Safwan S Halabi, Jayashree Kalpathy-Cramer, David B Larson
Improving Automated Pediatric Bone Age Estimation Using Ensembles of Models from the 2017 RSNA Machine Learning Challenge. Radiology. Artificial intelligence 1 (6) (2019)
K Ina Ly, Bella Vakulenko-Lagun, Kyrre E Emblem, Yangming Ou, Xiao Da, Rebecca A Betensky, Jayashree Kalpathy-Cramer, Dan G Duda, Rakesh K Jain, Andrew S Chi, Scott R Plotkin, Tracy T Batchelor, Gregory Sorensen, Bruce R Rosen, Elizabeth R Gerstner
Probing tumor microenvironment in patients with newly diagnosed glioblastoma during chemoradiation and adjuvant temozolomide with functional MRI. Scientific reports 8 (1) (2018)
Samuel G Armato, Henkjan J Huisman, Kenny H Cha, Lubomir Hadjiiski, Justin S Kirby, Nicholas Petrick, George Redmond, Maryellen L Giger, Kenny H Cha, Artem Mamonov, Jayashree Kalpathy-Cramer, Keyvan Farahani
PROSTATEx Challenges for computerized classification of prostate lesions from multiparametric magnetic resonance images. Journal of medical imaging (Bellingham, Wash.) 5 (4) (2018)
Safwan S Halabi, Luciano M Prevedello, Jayashree Kalpathy-Cramer, Artem B Mamonov, Alexander Bilbily, Mark Cicero, Ian Pan, Lucas Araújo Pereira, Rafael Teixeira Sousa, Nitamar Abdala, Felipe Campos Kitamura, Hans H Thodberg, Leon Chen, George Shih, Katherine Andriole, Marc D Kohli, Bradley J Erickson, Adam E Flanders
The RSNA Pediatric Bone Age Machine Learning Challenge. Radiology 290 (2) (2018)
Kathleen M Schmainda, M A Prah, S D Rand, Y Liu, Brent R Logan, Mark Muzi, Swati Rane Levendovszky, X Da, Yi Fen Yen, Jayashree Kalpathy-Cramer, Thomas L Chenevert, B Hoff, Brian D Ross, Yue Cao, Madhava Aryal, Bradley J Erickson, Panagiotis Korffiatis, Timothy Dondlinger, Laura C Bell, Leland S Hu, Paul E Kinahan, C C Quarles
Multisite Concordance of DSC-MRI Analysis for Brain Tumors: Results of a National Cancer Institute Quantitative Imaging Network Collaborative Project. AJNR. American journal of neuroradiology 39 (6) (2018)
M Zhou, Jacob G Scott, B Chaudhury, Lawrence O Hall, Dmitry B Goldgof, Kristen W Yeom, Michael Iv, Yangming Ou, Jayashree Kalpathy-Cramer, Sandy Napel, Robert James Gillies, Olivier Gevaert, Robert A Gatenby
Radiomics in Brain Tumor: Image Assessment, Quantitative Feature Descriptors, and Machine-Learning Approaches. AJNR. American journal of neuroradiology 39 (2) (2017)
Mohammed Salman Shazeeb, Jayashree Kalpathy-Cramer, Bashar Afif Issa
MRI Simulation Study Investigating Effects of Vessel Topology, Diffusion, and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model. Scientific reports 7 (1) (2017)

Jayashree Kalpathy-Cramer.css-eqlu8i{font-size:small;padding-left:4px;} (J Kalpathy-Cramer)

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Jayashree Kalpathy-Cramer (J Kalpathy-Cramer)