| Heat transfer in filamentary RRAM devices D Niraula, VG Karpov IEEE Transactions on Electron Devices 64 (10), 4106-4113, 2017 | 43 | 2017 |
| Thermodynamics of phase transitions and bipolar filamentary switching in resistive random-access memory VG Karpov, D Niraula, IV Karpov, R Kotlyar Physical Review Applied 8 (2), 024028, 2017 | 41 | 2017 |
| Artificial intelligence (AI) and machine learning (ML) in precision oncology: a review on enhancing discoverability through multiomics integration L Wei, D Niraula, EDH Gates, J Fu, Y Luo, MJ Nyflot, SR Bowen, ... The British Journal of Radiology 96 (1150), 20230211, 2023 | 40 | 2023 |
| Comprehensive numerical modeling of filamentary RRAM devices including voltage ramp-rate and cycle-to-cycle variations D Niraula, V Karpov Journal of Applied Physics 124 (17), 2018 | 40 | 2018 |
| Quantum deep reinforcement learning for clinical decision support in oncology: application to adaptive radiotherapy D Niraula, J Jamaluddin, MM Matuszak, RKT Haken, IE Naqa Scientific reports 11 (1), 23545, 2021 | 39 | 2021 |
| Log-normal statistics in filamentary RRAM devices and related systems VG Karpov, D Niraula IEEE Electron Device Letters 38 (9), 1240-1243, 2017 | 27 | 2017 |
| A clinical decision support system for AI-assisted decision-making in response-adaptive radiotherapy (ARCliDS) D Niraula, W Sun, J Jin, ID Dinov, K Cuneo, J Jamaluddin, MM Matuszak, ... Scientific Reports 13 (1), 5279, 2023 | 23 | 2023 |
| Thermodynamic analysis of conductive filaments V Karpov, D Niraula, I Karpov Applied Physics Letters 109 (9), 2016 | 22 | 2016 |
| Electric field stimulated growth of Zn whiskers D Niraula, J McCulloch, GR Warrell, R Irving, VG Karpov, D Shvydka AIP Advances 6 (7), 2016 | 18 | 2016 |
| Current status and future developments in predicting outcomes in radiation oncology D Niraula, S Cui, J Pakela, L Wei, Y Luo, RK Ten Haken, I El Naqa The British Journal of Radiology 95 (1139), 20220239, 2022 | 17 | 2022 |
| Resistive switching in nano-structures VG Karpov, D Niraula Scientific Reports 8 (1), 12212, 2018 | 16 | 2018 |
| Precision radiotherapy via information integration of expert human knowledge and AI recommendation to optimize clinical decision making W Sun, D Niraula, I El Naqa, RK Ten Haken, ID Dinov, K Cuneo, JJ Jin Computer methods and programs in biomedicine 221, 106927, 2022 | 15 | 2022 |
| Interpretable artificial intelligence in radiology and radiation oncology S Cui, A Traverso, D Niraula, J Zou, Y Luo, D Owen, I El Naqa, L Wei The British Journal of Radiology 96 (1150), 20230142, 2023 | 13 | 2023 |
| Numerical modeling of resistive switching in RRAM device D Niraula, V Karpov Proceedings of the 2017 COMSOL Conference in Boston, 2017 | 13 | 2017 |
| The Poole-Frenkel laws and a pathway to multi-valued memory M Patmiou, D Niraula, VG Karpov Applied Physics Letters 115 (8), 2019 | 12 | 2019 |
| The stochastic growth of metal whiskers B Subedi, D Niraula, VG Karpov Applied Physics Letters 110 (25), 2017 | 12 | 2017 |
| The probabilistic distribution of metal whisker lengths D Niraula, VG Karpov Journal of Applied Physics 118 (20), 2015 | 10 | 2015 |
| A human-in-the-loop based Bayesian network approach to improve imbalanced radiation outcomes prediction for hepatocellular cancer patients with stereotactic body radiotherapy Y Luo, KC Cuneo, TS Lawrence, MM Matuszak, LA Dawson, D Niraula, ... Frontiers in Oncology 12, 1061024, 2022 | 8 | 2022 |
| OFF state conduction in filamentary RRAM VG Karpov, D Niraula IEEE Electron Device Letters 40 (4), 550-553, 2019 | 7 | 2019 |
| A decision support software for AI-assisted decision making in response-adaptive radiotherapy—an evaluation study D Niraula, W Sun, J Jin, ID Dinov, KC Cuneo, J Jamaluddin, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), e101-e102, 2022 | 3 | 2022 |
Victor KarpovProfessor of PhysicsVerified email at utoledo.edu