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Hojjat Salehinejad

Showing results (1-10 of 23) with videos related to

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IEEE Transactions on Neural Networks and Learning Systems|April 8, 2021
EDropout: Energy-Based Dropout and Pruning of Deep Neural NetworksHojjat Salehinejad, Shahrokh Valaee
Surgery|December 1, 2023
Persistent challenges in pancreatic surgery: Postoperative pancreatic fistula prediction in the machine learning era-Response to: Machine learning versus logistic regression for the prediction of complications after pancreaticoduodenectomyHala Muaddi, Hojjat Salehinejad, Cornelius A Thiels
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Graph Representation of Postoperative Patients for Opioids Refill Prediction: A Real-World Case StudyAshok Choudhary, Cornelius A Thiels, Hojjat Salehinejad
JAMA Surgery|February 14, 2024
Academic Surgery in the Era of Large Language Models: A ReviewTimothy A Rengers, Cornelius A Thiels, Hojjat Salehinejad
Scientific Reports|October 16, 2024
Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learningHojjat Salehinejad, Aaron C Spaulding, Tareq Hanouneh, et al.
Surgery|March 13, 2024
The integration of artificial intelligence in robotic surgery: A narrative reviewChi Zhang, M Susan Hallbeck, Hojjat Salehinejad, et al.
IEEE Transactions on Medical Imaging|November 17, 2018
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural NetworksHojjat Salehinejad, Errol Colak, Tim Dowdell, et al.
Scientific Data|February 22, 2025
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and AudioKian Behzad, Rojin Zandi, Elaheh Motamedi, et al.
IEEE Journal of Translational Engineering in Health and Medicine|January 10, 2024
Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized PatientsHojjat Salehinejad, Anne M Meehan, Pedro J Caraballo, et al.
Surgery|February 10, 2026
Tabular foundation models as a new portable standard in local surgical risk predictionChris Varghese, Elizabeth Habermann, Kristine Hanson, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
IEEE Transactions on Neural Networks and Learning Systems|April 8, 2021
EDropout: Energy-Based Dropout and Pruning of Deep Neural NetworksHojjat Salehinejad, Shahrokh Valaee
Surgery|December 1, 2023
Persistent challenges in pancreatic surgery: Postoperative pancreatic fistula prediction in the machine learning era-Response to: Machine learning versus logistic regression for the prediction of complications after pancreaticoduodenectomyHala Muaddi, Hojjat Salehinejad, Cornelius A Thiels
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Graph Representation of Postoperative Patients for Opioids Refill Prediction: A Real-World Case StudyAshok Choudhary, Cornelius A Thiels, Hojjat Salehinejad
JAMA Surgery|February 14, 2024
Academic Surgery in the Era of Large Language Models: A ReviewTimothy A Rengers, Cornelius A Thiels, Hojjat Salehinejad
Scientific Reports|October 16, 2024
Unraveling the impact of abdominal arterial calcifications on kidney transplant waitlist mortality through ensemble machine learningHojjat Salehinejad, Aaron C Spaulding, Tareq Hanouneh, et al.
Surgery|March 13, 2024
The integration of artificial intelligence in robotic surgery: A narrative reviewChi Zhang, M Susan Hallbeck, Hojjat Salehinejad, et al.
IEEE Transactions on Medical Imaging|November 17, 2018
Synthesizing Chest X-Ray Pathology for Training Deep Convolutional Neural NetworksHojjat Salehinejad, Errol Colak, Tim Dowdell, et al.
Scientific Data|February 22, 2025
RoboMNIST: A Multimodal Dataset for Multi-Robot Activity Recognition Using WiFi Sensing, Video, and AudioKian Behzad, Rojin Zandi, Elaheh Motamedi, et al.
IEEE Journal of Translational Engineering in Health and Medicine|January 10, 2024
Contrastive Transfer Learning for Prediction of Adverse Events in Hospitalized PatientsHojjat Salehinejad, Anne M Meehan, Pedro J Caraballo, et al.
Surgery|February 10, 2026
Tabular foundation models as a new portable standard in local surgical risk predictionChris Varghese, Elizabeth Habermann, Kristine Hanson, et al.
Pageof 3