output
20122023
most citedA Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges

2.7k citations

17 papers

cs.LG2023★ 11 cited

Uncertainty Aware Neural Network from Similarity and Sensitivity

H M Dipu Kabir, Subrota Kumar Mondal, Sadia Khanam +8

Researchers have proposed several approaches for neural network (NN) based uncertainty quantification (UQ). However, most of the approaches are developed considering strong assumpt…

q-bio.NC2022★ 124 cited

Automatic autism spectrum disorder detection using artificial intelligence methods with MRI neuroimaging: A review

Parisa Moridian, Navid Ghassemi, Mahboobeh Jafari +11

Autism spectrum disorder (ASD) is a brain condition characterized by diverse signs and symptoms that appear in early childhood. ASD is also associated with communication deficits a…

cs.LG2022★ 6 cited

Automatic diagnosis of schizophrenia and attention deficit hyperactivity disorder in rs-fMRI modality using convolutional autoencoder model and interval type-2 fuzzy regression

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7

Nowadays, many people worldwide suffer from brain disorders, and their health is in danger. So far, numerous methods have been proposed for the diagnosis of Schizophrenia (SZ) and…

eess.SP2021★ 154 cited

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Afshin Shoeibi, Navid Ghassemi, Marjane Khodatars +7

Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electr…

cs.CV2021★ 76 cited

MCUa: Multi-level Context and Uncertainty aware Dynamic Deep Ensemble for Breast Cancer Histology Image Classification

Zakaria Senousy, Mohammed M. Abdelsamea, Mohamed Medhat Gaber +4

Breast histology image classification is a crucial step in the early diagnosis of breast cancer. In breast pathological diagnosis, Convolutional Neural Networks (CNNs) have demonst…

eess.SP2021★ 42 cited

Application of artificial intelligence techniques for automated detection of myocardial infarction: A review

Javad Hassannataj Joloudari, Sanaz Mojrian, Issa Nodehi +13

Myocardial infarction (MI) results in heart muscle injury due to receiving insufficient blood flow. MI is the most common cause of mortality in middle-aged and elderly individuals…