1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.IV2025
A Deep Bayesian Convolutional Spiking Neural Network-based CAD system with Uncertainty Quantification for Medical Images Classification
Mohaddeseh Chegini, Ali Mahloojifar
The Computer_Aided Diagnosis (CAD) systems facilitate accurate diagnosis of diseases. The development of CADs by leveraging third generation neural network, namely, Spiking Neural…
cs.CV2025
BI-RADS prediction of mammographic masses using uncertainty information extracted from a Bayesian Deep Learning model
Mohaddeseh Chegini, Ali Mahloojifar
The BI_RADS score is a probabilistic reporting tool used by radiologists to express the level of uncertainty in predicting breast cancer based on some morphological features in mam…
cs.CV2024★ 1 cited
Reliable Breast Cancer Molecular Subtype Prediction based on uncertainty-aware Bayesian Deep Learning by Mammography
Mohaddeseh Chegini, Ali Mahloojifar
Breast cancer is a heterogeneous disease with different molecular subtypes, clinical behavior, treatment responses as well as survival outcomes. The development of a reliable, accu…