Sabyasachi Bandyopadhyay

According to our database, Sabyasachi Bandyopadhyay authored at least 13 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Identification of cardiac wall motion abnormalities in diverse populations by deep learning of the electrocardiogram.

Albert J. Rogers, Neal K. Bhatia, Sabyasachi Bandyopadhyay, James E. Tooley, Rayan Ansari, Vyom Thakkar, Justin Xu, Jessica Torres Soto, Jagteshwar S. Tung, Mahmood I. Alhusseini, Paul Clopton, Reza Sameni, Gari D. Clifford, J. Weston Hughes, Euan A. Ashley, Marco V. Perez, Matei Zaharia, Sanjiv M. Narayan

npj Digit. Medicine, 2025

2024

MANGO: Multimodal Acuity traNsformer for intelliGent ICU Outcomes.

Jiaqing Zhang, Miguel Contreras, Sabyasachi Bandyopadhyay, Andrea Davidson, Jessica Sena, Yuanfang Ren, Ziyuan Guan, Tezcan Ozrazgat-Baslanti, Tyler J. Loftus, Subhash Nerella, Azra Bihorac, Parisa Rashidi

CoRR, 2024

Peri-AIIMS: Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes.

Sabyasachi Bandyopadhyay, Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick James Tighe, Catherine C. Price, Parisa Rashidi

CoRR, 2024

ConvexECG: Lightweight and Explainable Neural Networks for Personalized, Continuous Cardiac Monitoring.

Rayan Ansari, John Cao, Sabyasachi Bandyopadhyay, Sanjiv M. Narayan, Albert J. Rogers, Mert Pilanci

CoRR, 2024

A multi-cohort study on prediction of acute brain dysfunction states using selective state space models.

Brandon Silva, Miguel Contreras, Sabyasachi Bandyopadhyay, Yuanfang Ren, Ziyuan Guan, Jeremy A. Balch, Kia Khezeli, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Azra Bihorac, Parisa Rashidi

CoRR, 2024

Leveraging Computer Vision in the Intensive Care Unit (ICU) for Examining Visitation and Mobility.

Scott Siegel, Jiaqing Zhang, Sabyasachi Bandyopadhyay, Subhash Nerella, Brandon Silva, Tezcan Baslanti, Azra Bihorac, Parisa Rashidi

CoRR, 2024

Transformers and large language models in healthcare: A review.

Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi

Artif. Intell. Medicine, 2024

2023

The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU).

Jessica Sena, Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Benjamin Shickel, Tyler J. Loftus, William Robson Schwartz, Azra Bihorac, Parisa Rashidi

CoRR, 2023

APRICOT: Acuity Prediction in Intensive Care Unit (ICU): Predicting Stability, Transitions, and Life-Sustaining Therapies.

Miguel Contreras, Brandon Silva, Benjamin Shickel, Tezcan Ozrazgat-Baslanti, Yuanfang Ren, Ziyuan Guan, Sabyasachi Bandyopadhyay, Kia Khezeli, Azra Bihorac, Parisa Rashidi

CoRR, 2023

Transformers in Healthcare: A Survey.

Subhash Nerella, Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Contreras, Scott Siegel, Aysegul Bumin, Brandon Silva, Jessica Sena, Benjamin Shickel, Azra Bihorac, Kia Khezeli, Parisa Rashidi

CoRR, 2023

Predicting risk of delirium from ambient noise and light information in the ICU.

Sabyasachi Bandyopadhyay, Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella, Jiaqing Zhang, Kia Khezeli, Brooke Armfield, Azra Bihorac, Parisa Rashidi

CoRR, 2023

Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data.

Jessica Sena, Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto, Tezcan Ozrazgat-Baslanti, Patrick James Tighe, Azra Bihorac, William Robson Schwartz, Parisa Rashidi

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records.

Miguel Contreras, Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren, Tezcan Ozrazgat-Baslanti, Kia Khezeli, Azra Bihorac, Parisa Rashidi

Proceedings of the IEEE EMBS International Conference on Biomedical and Health Informatics, 2023