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Dipesh Niraula

Showing results (1-10 of 12) with videos related to

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Cancer Journal (Sudbury, Mass.)|November 18, 2025
Human-machine Interaction in the Age of Generative AIDipesh Niraula, Monique O Shotande, Issam El Naqa
Iscience|April 18, 2024
Modeling non-genetic information dynamics in cells using reservoir computingDipesh Niraula, Issam El Naqa, Jack Adam Tuszynski, et al.
Scientific Reports|February 9, 2023
Author Correction: Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapyDipesh Niraula, Jamalina Jamaluddin, Martha M Matuszak, et al.
Scientific Reports|December 8, 2021
Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapyDipesh Niraula, Jamalina Jamaluddin, Martha M Matuszak, et al.
The British Journal of Radiology|July 22, 2022
Current status and future developments in predicting outcomes in radiation oncologyDipesh Niraula, Sunan Cui, Julia Pakela, et al.
The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Computer Methods and Programs in Biomedicine|June 8, 2022
Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision makingWenbo Sun, Dipesh Niraula, Issam El Naqa, et al.
Frontiers in Oncology|December 26, 2022
A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapyYi Luo, Kyle C Cuneo, Theodore S Lawrence, et al.
The British Journal of Radiology|September 3, 2023
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integrationLise Wei, Dipesh Niraula, Evan D H Gates, et al.
Scientific Reports|March 31, 2023
A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)Dipesh Niraula, Wenbo Sun, Jionghua Jin, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Cancer Journal (Sudbury, Mass.)|November 18, 2025
Human-machine Interaction in the Age of Generative AIDipesh Niraula, Monique O Shotande, Issam El Naqa
Iscience|April 18, 2024
Modeling non-genetic information dynamics in cells using reservoir computingDipesh Niraula, Issam El Naqa, Jack Adam Tuszynski, et al.
Scientific Reports|February 9, 2023
Author Correction: Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapyDipesh Niraula, Jamalina Jamaluddin, Martha M Matuszak, et al.
Scientific Reports|December 8, 2021
Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapyDipesh Niraula, Jamalina Jamaluddin, Martha M Matuszak, et al.
The British Journal of Radiology|July 22, 2022
Current status and future developments in predicting outcomes in radiation oncologyDipesh Niraula, Sunan Cui, Julia Pakela, et al.
The British Journal of Radiology|July 26, 2023
Interpretable artificial intelligence in radiology and radiation oncologySunan Cui, Alberto Traverso, Dipesh Niraula, et al.
Computer Methods and Programs in Biomedicine|June 8, 2022
Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision makingWenbo Sun, Dipesh Niraula, Issam El Naqa, et al.
Frontiers in Oncology|December 26, 2022
A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapyYi Luo, Kyle C Cuneo, Theodore S Lawrence, et al.
The British Journal of Radiology|September 3, 2023
Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integrationLise Wei, Dipesh Niraula, Evan D H Gates, et al.
Scientific Reports|March 31, 2023
A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS)Dipesh Niraula, Wenbo Sun, Jionghua Jin, et al.
Pageof 2