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Parvathy Sudhir Pillai

Showing results (1-10 of 14) with videos related to

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Studies in Health Technology and Informatics|August 12, 2015
Fusing Heterogeneous Data for Alzheimer's Disease ClassificationParvathy Sudhir Pillai, Tze-Yun Leong,
Studies in Health Technology and Informatics|August 24, 2019
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease DetectionParvathy Sudhir Pillai, Tze-Yun Leong,
Studies in Health Technology and Informatics|April 22, 2018
Knowledge-Driven Interpretation of Multi-View Data in MedicineParvathy Sudhir Pillai, Lei Feng, Tze-Yun Leong
Proceedings of Spie--The International Society for Optical Engineering|July 11, 2022
Individualized and Generalized Learner Models for Predicting Missed Hepatic MetastasesParvathy Sudhir Pillai, Scott Hsieh, David Holmes, et al.
Journal of Endourology|October 7, 2022
<i>In Vivo</i> Prediction of Kidney Stone Fragility Using Radiomics-Based Regression ModelsParvathy Sudhir Pillai, Scott S Hsieh, Andrew J Vercnocke, et al.
Journal of Clinical Monitoring and Computing|September 24, 2024
Forecasting intraoperative hypotension during hepatobiliary surgeryJuan P Cata, Bhavin Soni, Shreyas Bhavsar, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 9, 2022
A 25-reader performance study for hepatic metastasis detection: lessons from unsupervised learningScott S Hsieh, Akitoshi Inoue, Parvathy Sudhir Pillai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 19, 2022
Individualized and generalized models for predicting observer performance on liver metastasis detection using CTParvathy Sudhir Pillai, David R Holmes, Rickey Carter, et al.
Academic Radiology|February 27, 2026
Reading, Fast and Slow: Characterizing Radiologists' Visual Search Through Abdominal CT for Detecting Hepatic MetastasesParvathy Sudhir Pillai, Scott S Hsieh, Hao Gong, et al.
Radiology|October 4, 2022
Understanding Reader Variability: A 25-Radiologist Study on Liver Metastasis Detection at CTScott S Hsieh, David A Cook, Akitoshi Inoue, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Studies in Health Technology and Informatics|August 12, 2015
Fusing Heterogeneous Data for Alzheimer's Disease ClassificationParvathy Sudhir Pillai, Tze-Yun Leong,
Studies in Health Technology and Informatics|August 24, 2019
Modeling Multi-View Dependence in Bayesian Networks for Alzheimer's Disease DetectionParvathy Sudhir Pillai, Tze-Yun Leong,
Studies in Health Technology and Informatics|April 22, 2018
Knowledge-Driven Interpretation of Multi-View Data in MedicineParvathy Sudhir Pillai, Lei Feng, Tze-Yun Leong
Proceedings of Spie--The International Society for Optical Engineering|July 11, 2022
Individualized and Generalized Learner Models for Predicting Missed Hepatic MetastasesParvathy Sudhir Pillai, Scott Hsieh, David Holmes, et al.
Journal of Endourology|October 7, 2022
<i>In Vivo</i> Prediction of Kidney Stone Fragility Using Radiomics-Based Regression ModelsParvathy Sudhir Pillai, Scott S Hsieh, Andrew J Vercnocke, et al.
Journal of Clinical Monitoring and Computing|September 24, 2024
Forecasting intraoperative hypotension during hepatobiliary surgeryJuan P Cata, Bhavin Soni, Shreyas Bhavsar, et al.
Proceedings of Spie--The International Society for Optical Engineering|June 9, 2022
A 25-reader performance study for hepatic metastasis detection: lessons from unsupervised learningScott S Hsieh, Akitoshi Inoue, Parvathy Sudhir Pillai, et al.
Journal of Medical Imaging (Bellingham, Wash.)|September 19, 2022
Individualized and generalized models for predicting observer performance on liver metastasis detection using CTParvathy Sudhir Pillai, David R Holmes, Rickey Carter, et al.
Academic Radiology|February 27, 2026
Reading, Fast and Slow: Characterizing Radiologists' Visual Search Through Abdominal CT for Detecting Hepatic MetastasesParvathy Sudhir Pillai, Scott S Hsieh, Hao Gong, et al.
Radiology|October 4, 2022
Understanding Reader Variability: A 25-Radiologist Study on Liver Metastasis Detection at CTScott S Hsieh, David A Cook, Akitoshi Inoue, et al.
Pageof 2