| Blood Glucose Level Prediction as Time-Series Modeling using Sequence-to-Sequence Neural Networks. AR Bhimireddy, P Sinha, B Oluwalade, JW Gichoya, S Purkayastha KDH@ ECAI, 125-130, 2020 | 26 | 2020 |
| A DICOM Framework for Machine Learning and Processing Pipelines Against Real-time Radiology Images P Kathiravelu, P Sharma, A Sharma, I Banerjee, H Trivedi, S Purkayastha, ... Journal of Digital Imaging, 1-9, 2021 | 15 | 2021 |
| Optimizing Medical Image Classification Models for Edge Devices A Abid, P Sinha, A Harpale, J Gichoya, S Purkayastha International Symposium on Distributed Computing and Artificial Intelligence …, 2021 | 9 | 2021 |
| Was there COVID-19 back in 2012? Challenge for AI in Diagnosis with Similar Indications I Banerjee, P Sinha, S Purkayastha, N Mashhaditafreshi, A Tariq, J Jeong, ... arXiv preprint arXiv:2006.13262, 2020 | 8 | 2020 |
| Leapfrogging Medical AI in Low-Resource Contexts Using Edge Tensor Processing Unit P Sinha, JW Gichoya, S Purkayastha 2022 IEEE Healthcare Innovations and Point of Care Technologies (HI-POCT), 67-70, 2022 | 3 | 2022 |
| Full training versus fine tuning for radiology images concept detection task for the imageclef 2019 challenge P Sinha, S Purkayastha, J Gichoya | 3 | 2019 |
| Energy Efficiency of Quantized Neural Networks in Medical Imaging P Sinha, SS Tummala, S Purkayastha, J Gichoya Medical Imaging with Deep Learning, 2022 | | 2022 |
| Multireader evaluation of radiologist performance for COVID-19 detection on emergency department chest radiographs JW Gichoya, P Sinha, M Davis, JW Dunkle, SA Hamlin, KD Herr, CN Hoff, ... Clinical Imaging, 2021 | | 2021 |
| Using ImageBERT to improve performance of multi-class Chest Xray classification S Purkayastha, A Bhimireddy, P Sinha, JW Gichoya | | 2020 |
