Bhavik N. Patel

30 papers A* 1Misc 1Journal 23Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Adaptable graph neural networks design to support generalizability for clinical event prediction. J. Biomed. Informatics Amara Tariq, Gurkiran Kaur, Leon Su, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2025	J	`jnl`	Opportunistic Screening for Pancreatic Cancer using Computed Tomography Imaging and Radiology Reports. CoRR David Le, Ramon L. Correa-Medero, Amara Tariq, Bhavik N. Patel, Motoyo Yano, Imon Banerjee
2025	J	`jnl`	Patient-centric Summarization of Radiology Findings Using Two-step Training of Large Language Models. ACM Trans. Comput. Heal. Amara Tariq, Shubham Trivedi, Aisha Urooj, Gokul Ramasamy, Sam Fathizadeh, Matthew Stib, Nelly Tan, Bhavik N. Patel, Imon Banerjee
2024	J	`jnl`	Efficient adversarial debiasing with concept activation vector - Medical image case-studies. J. Biomed. Informatics Ramon Correa, Khushbu Pahwa, Bhavik N. Patel, Celine M. Vachon, Judy W. Gichoya, Imon Banerjee
2024	J	`jnl`	Unsupervised Hybrid framework for ANomaly Detection (HAND) - applied to Screening Mammogram. CoRR Zhemin Zhang, Bhavika Patel, Bhavik N. Patel, Imon Banerjee
2023	—	`conf`	Adversarial Debiasing techniques towards 'fair' skin lesion classification. NER Ramon L. Correa-Medero, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	Comp2Comp: Open-Source Body Composition Assessment on Computed Tomography. CoRR 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
2023	J	`jnl`	Contrastive diagnostic embedding (CDE) model for automated coding - A case study using emergency department encounters. Int. J. Medical Informatics Amara Tariq, Kris Goddard, Praneetha Elugunti, Kristina Piorkowski, Jared Staal, Allison Viramontes, Imon Banerjee, Bhavik N. Patel
2023	J	`jnl`	Developing an Echocardiography-Based, Automatic Deep Learning Framework for the Differentiation of Increased Left Ventricular Wall Thickness Etiologies. J. Imaging 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
2023	J	`jnl`	Graph convolutional network-based fusion model to predict risk of hospital acquired infections. J. Am. Medical Informatics Assoc. Amara Tariq, Lin Lancaster, Praneetha Elugunti, Eric Siebeneck, Katherine Noe, Bijan Borah, James Moriarty, Imon Banerjee, Bhavik N. Patel
2023	—	`conf`	Graph-Based Fusion of Imaging and Non-Imaging Data for Disease Trajectory Prediction. NER Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	Natural Language Processing Model for Identifying Critical Findings - A Multi-Institutional Study. J. Digit. Imaging Imon Banerjee, Melissa A. Davis, Brianna L. Vey, Sina Mazaheri, Fiza Khan, Vaz Zavaletta, Roger Gerard, Judy Wawira Gichoya, Bhavik N. Patel
2023	J	`jnl`	Predicting 30-Day All-Cause Hospital Readmission Using Multimodal Spatiotemporal Graph Neural Networks. IEEE J. Biomed. Health Informatics Siyi Tang, Amara Tariq, Jared A. Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2023	J	`jnl`	Scout-Net: Prospective Personalized Estimation of CT Organ Doses from Scout Views. CoRR Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang
2023	J	`jnl`	The Role of Artificial Intelligence in Echocardiography. J. Imaging Timothy Barry, Juan Maria Farina, Chieh-Ju Chao, Chadi Ayoub, Jiwoong Jason Jeong, Bhavik N. Patel, Imon Banerjee, Reza Arsanjani
2022	Misc	`conf`	Graph-based Fusion Modeling and Explanation for Disease Trajectory Prediction. AMIA Amara Tariq, Siyi Tang, Hifza Sakhi, Leo Anthony Celi, Janice M. Newsome, Daniel L. Rubin, Hari Trivedi, Judy Gichoya, Bhavik N. Patel, Imon Banerjee
2022	J	`jnl`	Multimodal spatiotemporal graph neural networks for improved prediction of 30-day all-cause hospital readmission. CoRR Siyi Tang, Amara Tariq, Jared Dunnmon, Umesh Sharma, Praneetha Elugunti, Daniel L. Rubin, Bhavik N. Patel, Imon Banerjee
2022	—	`conf`	Opportunistic Incidence Prediction of Multiple Chronic Diseases from Abdominal CT Imaging Using Multi-task Learning. MICCAI (8) 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
2021	J	`jnl`	Automated coronary calcium scoring using deep learning with multicenter external validation. npj Digit. Medicine 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
2021	—	`conf`	Personalized CT Organ Dose Estimation from Scout Images. MICCAI (4) Abdullah-Al-Zubaer Imran, Sen Wang, Debashish Pal, Sandeep Dutta, Bhavik N. Patel, Evan Zucker, Adam S. Wang
2021	—	`conf`	Ssiqa: Multi-Task Learning For Non-Reference Ct Image Quality Assessment With Self-Supervised Noise Level Prediction. ISBI Abdullah-Al-Zubaer Imran, Debashish Pal, Bhavik N. Patel, Adam S. Wang
2021	J	`jnl`	Two-step adversarial debiasing with partial learning - medical image case-studies. CoRR Ramon Correa, Jiwoong Jason Jeong, Bhavik N. Patel, Hari Trivedi, Judy W. Gichoya, Imon Banerjee
2020	J	`jnl`	Assessing Robustness to Noise: Low-Cost Head CT Triage. CoRR Sarah M. Hooper, Jared A. Dunnmon, Matthew P. Lungren, Sanjiv Sam Gambhir, Christopher Ré, Adam S. Wang, Bhavik N. Patel
2020	J	`jnl`	Author Correction: PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. 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
2020	J	`jnl`	PENet - a scalable deep-learning model for automated diagnosis of pulmonary embolism using volumetric CT imaging. npj Digit. Medicine Shih-Cheng Huang, Tanay Kothari, Imon Banerjee, Christopher Chute, Robyn L. Ball, Norah Borus, Andrew C. 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
2019	J	`jnl`	Author Correction: Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 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
2019	J	`jnl`	Automated abnormality detection in lower extremity radiographs using deep learning. Nat. Mach. Intell. 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
2019	A*	`conf`	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. AAAI 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
2019	J	`jnl`	CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. CoRR 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
2019	J	`jnl`	Human-machine partnership with artificial intelligence for chest radiograph diagnosis. npj Digit. Medicine 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