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SaveIt is time to reassess reporting of electroconvulsive therapy data in New Zealand: A 17-year retrospective analysis of treatment data from Waikato
Lundin, Robert M.; Kannangara, Savani; Jenkins, Matthew; Carroll, Teresa; Wakefield, Kathrine; Patrick, Colin; Abdar, Moloud; Khosravi, Abbas; Loo, Colleen; Berk, Michael Share Save Share Save Share Save Share Save Share Save Share Save Binarized multi-gate mixture of Bayesian experts for cardiac syndrome X diagnosis: A clinician-in-the-loop scenario with a belief-uncertainty fusion paradigmAbdar, Moloud; Mehrzadi, Arash; Goudarzi, Milad; Masoudkabir, Farzad; Rundo, Leonardo; Mamouei, Mohammad; Sala, Evis; Khosravi, Abbas; Makarenkov, Vladimir; Acharya, U. Rajendra; Saadatagah, Seyedmohammad; Naderian, Mohammadreza; Garcia, Salvador; Sarrafzadegan, Nizal; Nahavandi, Saeid Share Save Share Save Share Save Share Save UncertaintyFuseNet: Robust uncertainty-aware hierarchical feature fusion model with Ensemble Monte Carlo Dropout for COVID-19 detectionAbdar, Moloud; Salari, Soorena; Qahremani, Sina; Lam, Hak-Keung; Karray, Fakhri; Hussain, Sadiq; Khosravi, Abbas; Acharya, U. Rajendra; Makarenkov, Vladimir; Nahavandi, Saeid Share Save Hercules: Deep Hierarchical Attentive Multilevel Fusion Model With Uncertainty Quantification for Medical Image ClassificationAbdar, Moloud; Fahami, Mohammad Amin; Rundo, Leonardo; Radeva, Petia; Frangi, Alejandro F.; Acharya, U. Rajendra; Khosravi, Abbas; Lam, Hak-Keung; Jung, Alexander; Nahavandi, Saeid Share Save A review of uncertainty quantification in deep learning: Techniques, applications and challengesAbdar, Moloud; Pourpanah, Farhad; Hussain, Sadiq; Rezazadegan, Dana; Liu, Li; Ghavamzadeh, Mohammad; Fieguth, Paul; Cao, Xiaochun; Khosravi, Abbas; Acharya, U. Rajendra; Makarenkov, Vladimir; Nahavandi, Saeid Share Save A novel approach based on genetic algorithm to speed up the discovery of classification rules on GPUsRoui, Mohammad Beheshti; Zomorodi, Mariam; Sarvelayati, Masoomeh; Abdar, Moloud; Noori, Hamid; Plawiak, Pawel; Tadeusiewicz, Ryszard; Zhou, Xujuan; Khosravi, Abbas; Nahavandi, Saeid; Acharya, U. Rajendra Share Save Share Save Uncertainty quantification in skin cancer classification using three-way decision-based Bayesian deep learningAbdar, Moloud; Samami, Maryam; Mahmoodabad, Sajjad Dehghani; Doan, Thang; Mazoure, Bogdan; Hashemifesharaki, Reza; Liu, Li; Khosravi, Abbas; Acharya, U. Rajendra; Makarenkov, Vladimir; Nahavandi, Saeid Share Save Handling of uncertainty in medical data using machine learning and probability theory techniques: a review of 30 years (1991-2020)Alizadehsani, Roohallah; Roshanzamir, Mohamad; Hussain, Sadiq; Khosravi, Abbas; Koohestani, Afsaneh; Zangooei, Mohammad Hossein; Abdar, Moloud; Beykikhoshk, Adham; Shoeibi, Afshin; Zare, Assef; Panahiazar, Maryam; Nahavandi, Saeid; Srinivasan, Dipti; Atiya, Amir F.; Acharya, U. Rajendra Share Save Share Save Coronary artery disease detection using artificial intelligence techniques: A survey of trends, geographical differences and diagnostic features 1991-2020Alizadehsani, Roohallah; Khosravi, Abbas; Roshanzamir, Mohamad; Abdar, Moloud; Sarrafzadegan, Nizal; Shafie, Davood; Khozeimeh, Fahime; Shoeibi, Afshin; Nahavandi, Saeid; Panahiazar, Maryam; Bishara, Andrew; Beygui, Ramin E.; Puri, Rishi; Kapadia, Samir; Tan, Ru-San; Acharya, U. Rajendra Share Save 
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