Sabyasachi Bandyopadhyay

Also affiliated with Stanford University

MedicineComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 16 papers. Top paper: “Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands”.

Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands

Scientific Reports(2023)10.1038/s41598-023-34518-9

N/A

0.656DataRank · unranked

11 citations

Jack Wittmayer, David J. Libon, Patrick Tighe, Catherine C. Price, Parisa Rashidi +1 more

Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia

Scientific Reports(2022)10.1038/s41598-022-12024-8

N/A

0.530DataRank · unranked

11 citations

Catherine Dion, David J. Libon, Catherine C. Price, Patrick Tighe, Parisa Rashidi +1 more

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

PubMed(2023)10.1109/bhi58575.2023.10313445

N/A

0.330DataRank · unranked

8 citations

Brandon Silva, Benjamin Shickel, Sabyasachi Bandyopadhyay, Ziyuan Guan, Yuanfang Ren +5 more

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

arXiv (Cornell University)(2023)10.48550/arxiv.2303.06253

N/A

0.208DataRank · unranked

3 citations

Ahna Cecil, Jessica Sena, Andrea Davidson, Ziyuan Guan, Subhash Nerella +6 more

Developing a fair and interpretable representation of the clock drawing test for mitigating low education and racial bias

Scientific Reports(2024)10.1038/s41598-024-68481-w

N/A

0.208DataRank · unranked

3 citations

Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon +3 more

Wearable sensors in patient acuity assessment in critical care

Frontiers in Neurology(2024)10.3389/fneur.2024.1386728

N/A

0DataRank · unranked

10 citations

Mohammad Tahsin Mostafiz, Jiaqing Zhang, Andrea Davidson, Sabyasachi Bandyopadhyay, Subhash Nerella +8 more

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

arXiv (Cornell University)(2024)10.48550/arxiv.2403.06322

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Sabyasachi Bandyopadhyay, Subhash Nerella, Brandon Silva, Tezcan Ozrazgat Baslanti +3 more

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

arXiv (Cornell University)(2024)10.48550/arxiv.2411.00840

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Ronald L. Ison, David J. Libon, Patrick Tighe, Catherine C. Price +2 more

Real-time prediction of intensive care unit patient acuity and therapy requirements using state-space modelling

Nature Communications(2025)10.1038/s41467-025-62121-1

N/A

0DataRank · unranked

1 citations

Brandon Silva, Benjamin Shickel, Andréa Davidson, Tezcan Ozrazgat‐Baslanti, Yuanfang Ren +12 more

Predicting dementia in patients with atrial fibrillation using machine learning of a large multimodal registry

EP Europace(2025)10.1093/europace/euaf085.294

N/A

0DataRank · unranked

0 citations

Sabyasachi Bandyopadhyay, Prasanth Ganesan, H J Chang, Renhai Feng, Kathryn Brennan +5 more

Perioperative Artificial Intelligence Driven Integrated Modeling of Surgeries using Anesthetic, Physical and Cognitive Statuses for Predicting Hospital Outcomes

Research Square(2025)10.21203/rs.3.rs-8000504/v1

N/A

0DataRank · unranked

0 citations

Jiaqing Zhang, Ronald L. Ison, Bhanu Prasad Cherukuvada, David J. Libon, Patrick Tighe +3 more

Physics-Inspired Diffusion Probabilistic Models for Improved Denoising in Intracardiac Time Series

PubMed(2025)10.1109/embc58623.2025.11252692

N/A

0DataRank · unranked

0 citations

Moritz Rau, Prasanth Ganesan, Kelly Brennan, Ruibin Feng, Sabyasachi Bandyopadhyay +4 more

Using Variational Autoencoder to Develop and Validate a Compact, Deep Representation of Digital Clock Drawing Test for Classifying Dementia

Research Square(2022)10.21203/rs.3.rs-1207133/v1

N/A

0DataRank · unranked

0 citations

Catherine Dion, David J. Libon, Patrick Tighe, Catherine C. Price, Parisa Rashidi +1 more

FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groups

Research Square(2023)10.21203/rs.3.rs-3398970/v1

N/A

0DataRank · unranked

3 citations

Sabyasachi Bandyopadhyay, Faith Kimmet, Jack Wittmayer, Kia Khezeli, David J. Libon +3 more

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

PubMed(2023)10.1109/bibm58861.2023.10385764

N/A

0DataRank · unranked

1 citations

Sabyasachi Bandyopadhyay, Mohammad Tahsin Mostafiz, Andrea Davidson, Ziyuan Guan, Jesimon Barreto +6 more

Transformers and large language models in healthcare: A review

Artificial Intelligence in Medicine(2024)10.1016/j.artmed.2024.102900

N/A

0DataRank · unranked

148 citations

Sabyasachi Bandyopadhyay, Jiaqing Zhang, Miguel Á. Contreras, Scott Siegel, Aysegül Bumin +7 more