| A linearization scheme for thermistor-based sensing in biomedical studies S Bandyopadhyay, A Das, A Mukherjee, D Dey, B Bhattacharyya, ... IEEE Sensors Journal 16 (3), 603-609, 2015 | 35 | 2015 |
| Transformers in Healthcare: A Survey S Nerella*, S Bandyopadhyay*, J Zhang, M Contreras, S Siegel, A Bumin, ... arXiv preprint arXiv:2307.00067, 2023 | 11 | 2023 |
| Discovery and validation of urinary molecular signature of early sepsis S Bandyopadhyay, N Lysak, L Adhikari, LM Velez, L Sautina, ... Critical Care Explorations 2 (10), e0195, 2020 | 11 | 2020 |
| Optimization of Generation Capacity at the Incoming Microgrid in an interconnected Microgrid System using ANN D Dhua, S Bandyopadhyay 2014 International Conference on Advances in Green Energy (ICAGE), 88-93, 2014 | 10 | 2014 |
| Metabolomic profiling for diagnosis and prognostication in surgery: a scoping review TA Khan, TJ Loftus, AC Filiberto, T Ozrazgat-Baslanti, MM Ruppert, ... Annals of surgery 273 (2), 258-268, 2021 | 8 | 2021 |
| Variational autoencoder provides proof of concept that compressing CDT to extremely low-dimensional space retains its ability of distinguishing dementia S Bandyopadhyay, C Dion, DJ Libon, C Price, P Tighe, P Rashidi Scientific reports 12 (1), 7992, 2022 | 5 | 2022 |
| Explainable semi-supervised deep learning shows that dementia is associated with small, avocado-shaped clocks with irregularly placed hands S Bandyopadhyay*, J Wittmayer*, DJ Libon, P Tighe, C Price, P Rashidi Scientific Reports 13 (1), 7384, 2023 | 4 | 2023 |
| Early differentiation between sepsis and sterile inflammation via urinary gene signatures of metabolic dysregulation S Bandyopadhyay, TJ Loftus, YC Peng, MC Lopez, HV Baker, MS Segal, ... Shock 58 (1), 20-27, 2022 | 2 | 2022 |
| A Network Analysis of Digital Clock Drawing for Command and Copy Conditions B Frank, S Bandyopadhyay, C Dion, E Formanski, E Matusz, D Penney, ... Assessment, 10731911241236336, 2024 | | 2024 |
| Diurnal Pain Classification in Critically Ill Patients using Machine Learning on Accelerometry and Analgesic Data J Sena, S Bandyopadhyay, MT Mostafiz, A Davidson, Z Guan, J Barreto, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | | 2023 |
| The Potential of Wearable Sensors for Assessing Patient Acuity in Intensive Care Unit (ICU) J Sena, MT Mostafiz, J Zhang, A Davidson, S Bandyopadhyay, ... arXiv preprint arXiv:2311.02251, 2023 | | 2023 |
| Dynamic Delirium Prediction in the Intensive Care Unit using Machine Learning on Electronic Health Records M Contreras, B Silva, B Shickel, S Bandyopadhyay, Z Guan, Y Ren, ... 2023 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2023 | | 2023 |
| FaIRClocks: Fair and Interpretable Representation of the Clock Drawing Test for mitigating classifier bias against lower educational groups J Zhang*, S Bandyopadhyay*, F Kimmet, J Wittmayer, K Khezeli, DJ Libon, ... Research Square, 2023 | | 2023 |
| Predicting risk of delirium from ambient noise and light information in the ICU S Bandyopadhyay, A Cecil, J Sena, A Davidson, Z Guan, S Nerella, ... arXiv preprint arXiv:2303.06253, 2023 | | 2023 |
| Using Variational Autoencoder to Develop and Validate a Compact, Deep Representation of Digital Clock Drawing Test for Classifying Dementia S Bandyopadhyay, C Dion, DJ Libon, P Tighe, C Price, P Rashidi | | 2022 |
| URINE BIOMARKERS DIFFERENTIATE SEPSIS FROM STERILE SIRS TJ Loftus, S Bandyopadhyay, T Ozrazgat-Baslanti, YC Peng, L Sautina, ... SHOCK 53, 33-33, 2020 | | 2020 |
| Unsupervised Machine Learning Analysis of Urinary Transcriptome Reveals Distinct Genotypic Clustering in Surgical Sepsis N Lysak, A Ebadi, S Bandyopadhyay, T Ozrazgat-Baslanti, L Sautina, ... Journal of the American College of Surgeons 225 (4), S66-S67, 2017 | | 2017 |
| MACHINE LEARNING ANALYSIS OF URINARY TRANSCRIPTOME FOR CLASSIFICATION OF SEPTIC PATIENTS N Lysak, A Ebadi, S Bandyopadhyay, S Padigepati, T Ozrazgat-Baslanti, ... SHOCK 47 (6), 130-130, 2017 | | 2017 |
| A study on variability of anthropometric data of various pinna patterns of human ear for individualization of head related transfer function: A technical review S Chaudhuri, D Dey, S Bandyopadhyay, A Das Computer, Communication and Electrical Technology, 313-317, 2017 | | 2017 |
| Performance and reliability analysis of grid-connected marine current turbine system using Monte Carlo estimation method S Sen, D Dhua, S Mondal, S Bandyopadhyay 2015 International Conference on Circuits, Power and Computing Technologies …, 2015 | | 2015 |
Parisa RashidiUniversity of FloridaVerified email at ufl.edu
