Multi-objective optimization of radiotherapy: distributed Q-learning and agent-based simulation. - Ammar Jalalimanesh; Hamidreza Shahabi Haghighi; Abbas Ahmadi; Hossein Hejazian; Madjid Soltani (J. Exp. Theor. Artif. Intell., 2017)

Simulation-based optimization of radiotherapy: Agent-based modeling and reinforcement learning. - Ammar Jalalimanesh; Hamidreza Shahabi Haghighi; Abbas Ahmadi; Madjid Soltani (Math. Comput. Simul., 2017)

Optimisation of tool replacement time in the machining process based on tool condition monitoring using the stochastic approach. - Arash Zaretalab; Hamidreza Shahabi Haghighi; Saeed Mansour; Mohsen S. Sajadieh (Int. J. Comput. Integr. Manuf., 2019)

Reinforcement learning for optimal scheduling of Glioblastoma treatment with Temozolomide. - Amir Ebrahimi Zade; Seyedhamidreza Shahabi Haghighi; Madjid Soltani (Comput. Methods Programs Biomed., 2020)

An integrated stochastic model to optimize the machining condition and tool maintenance policy in the multi-pass and multi-stage machining. - Arash Zaretalab; Seyedhamidreza Shahabi Haghighi; Saeed Mansour; Mohsen S. Sajadieh (Int. J. Comput. Integr. Manuf., 2020)

A neuro evolutionary algorithm for patient calibrated prediction of survival in Glioblastoma patients. - Amir Ebrahimi Zade; Seyedhamidreza Shahabi Haghighi; Madjid Soltani (J. Biomed. Informatics, 2021)

Deep learning for Alzheimer's disease diagnosis: A survey. - M. Khojaste Sarakhsi; Seyedhamidreza Shahabi Haghighi; S. M. T. Fatemi Ghomi; Elena Marchiori (Artif. Intell. Medicine, 2022)

Deep neural networks for neuro-oncology: Towards patient individualized design of chemo-radiation therapy for Glioblastoma patients. - Amir Ebrahimi Zade; Seyedhamidreza Shahabi Haghighi; Madjid Soltani (J. Biomed. Informatics, 2022)

A 3D multi-scale CycleGAN framework for generating synthetic PETs from MRIs for Alzheimer's disease diagnosis. - M. Khojaste Sarakhsi; Seyedhamidreza Shahabi Haghighi; S. M. T. Fatemi Ghomi; Elena Marchiori (Image Vis. Comput., 2024)