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ORCIDBhavik N. Patel
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2020 – today
- 2024
[j13]Ramon Correa, Khushbu Pahwa
, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee:
Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics 149: 104548 (2024)- 2023
- [j12]Amara Tariq, Kris Goddard, Praneetha Elugunti, Kristina Piorkowski, Jared Staal, Allison Viramontes, Imon Banerjee, Bhavik N. Patel:
Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. Int. J. Medical Informatics 179: 105212 (2023) - [j11]Amara Tariq, Lin Lancaster, Praneetha Elugunti, Eric Siebeneck, Katherine Noe, Bijan Borah, James Moriarty, Imon Banerjee, Bhavik N. Patel:
Graph convolutional network-based fusion model to predict risk of hospital acquired infections. J. Am. Medical Informatics Assoc. 30(6): 1056-1067 (2023) - [j10]Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel:
Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging 36(1): 105-113 (2023) - [j9]James Li, Chieh-Ju Chao, Jiwoong Jason Jeong, Juan Maria Farina, Amith R. Seri, Timothy Barry, Hana Newman, Megan Campany, Merna Abdou, Michael O'Shea, Sean Smith, Bishoy Abraham, Seyedeh Maryam Hosseini, Yuxiang Wang, Steven J. Lester, Said Alsidawi, Susan Wilansky, Eric Steidley, Julie Rosenthal, Chadi Ayoub, Christopher P. Appleton, Win-Kuang Shen, Martha Grogan, Garvan C. Kane, Jae K. Oh, Bhavik N. Patel, Reza Arsanjani, Imon Banerjee:
Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 9(2): 48 (2023) - [j8]Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jason Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani:
The Role of Artificial Intelligence in Echocardiography. J. Imaging 9(2): 50 (2023) - [j7]Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics 27(4): 2071-2082 (2023) - [c7]Ramon L. Correa-Medero, Bhavik N. Patel, Imon Banerjee:
Adversarial Debiasing techniques towards 'fair' skin lesion classification. NER 2023: 1-4 - [c6]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER 2023: 1-4 - [i6]Louis Blankemeier, Arjun D. Desai, Juan Manuel Zambrano Chaves, Andrew Wentland, Sally Yao, Eduardo Pontes Reis, Malte E. K. Jensen, Bhanushree Bahl, Khushboo Arora, Bhavik N. Patel, Leon Lenchik, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari:
Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. CoRR abs/2302.06568 (2023) - [i5]Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang:
Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views. CoRR abs/2312.15354 (2023) - 2022
- [c5]Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee:
Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA 2022 - [c4]Louis Blankemeier, Isabel Gallegos, Juan Manuel Zambrano Chaves, David J. Maron, Alexander T. Sandhu, Fátima Rodriguez, Daniel L. Rubin, Bhavik N. Patel, Marc H. Willis, Robert D. Boutin, Akshay S. Chaudhari:
Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. MICCAI (8) 2022: 309-318 - [i4]Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee:
Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR abs/2204.06766 (2022) - 2021
- [j6]David Eng, Christopher Chute, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Sam Shleifer, Mohamed H. Khalaf, Alexander T. Sandhu, Fátima Rodriguez, David J. Maron, Saeed Seyyedi, Daniele Marin, Ilana Golub, Matthew J. Budoff, Felipe Kitamura, Marcelo Straus Takahashi, Ross W. Filice, Rajesh Shah, John Mongan, Kimberly Kallianos, Curtis P. Langlotz, Matthew P. Lungren, Andrew Y. Ng, Bhavik N. Patel:
Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 4 (2021) - [c3]Abdullah-Al-Zubaer Imran, Debashish Pal, Bhavik N. Patel, Adam S. Wang:
Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction. ISBI 2021: 1962-1965 - [c2]Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang:
Personalized CT Organ Dose Estimation from Scout Images. MICCAI (4) 2021: 488-498 - [i3]Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee:
Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR abs/2111.08711 (2021) - 2020
- [j5]Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [j4]Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew Huang, Bhavik N. Patel, Pranav Rajpurkar, Jeremy Irvin, Jared Dunnmon, Joseph Bledsoe, Katie S. Shpanskaya, Abhay Dhaliwal, Roham Zamanian, Andrew Y. Ng, Matthew P. Lungren:
Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine 3 (2020) - [i2]Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel:
Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR abs/2003.07977 (2020)
2010 – 2019
- 2019
- [j3]Maya Varma, Mandy Lu, Rachel Gardner, Jared Dunnmon, Nishith Khandwala, Pranav Rajpurkar, Jin Long, Christopher Beaulieu, Katie S. Shpanskaya, Li Fei-Fei, Matthew P. Lungren, Bhavik N. Patel:
Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 1(12): 578-583 (2019) - [j2]Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren:
Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019) - [j1]Bhavik N. Patel, Louis B. Rosenberg, Gregg Willcox, David Baltaxe, Mimi Lyons, Jeremy Irvin, Pranav Rajpurkar, Timothy Amrhein, Rajan Gupta, Safwan Halabi, Curtis P. Langlotz, Edward Lo, Joseph Mammarappallil, A. J. Mariano, Geoffrey Riley, Jayne Seekins, Luyao Shen, Evan Zucker, Matthew P. Lungren:
Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 2 (2019) - [c1]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI 2019: 590-597 - [i1]Jeremy Irvin, Pranav Rajpurkar, Michael Ko, Yifan Yu, Silviana Ciurea-Ilcus, Christopher Chute, Henrik Marklund, Behzad Haghgoo, Robyn L. Ball, Katie S. Shpanskaya, Jayne Seekins, David A. Mong, Safwan S. Halabi, Jesse K. Sandberg, Ricky Jones, David B. Larson, Curtis P. Langlotz, Bhavik N. Patel, Matthew P. Lungren, Andrew Y. Ng:
CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR abs/1901.07031 (2019)
Coauthor Index
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