110 citations · 216 across the 8 of their papers we have counts for
9 papers
DECAPS: Detail-Oriented Capsule Networks
Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese +1
Capsule Networks (CapsNets) have demonstrated to be a promising alternative to Convolutional Neural Networks (CNNs). However, they often fall short of state-of-the-art accuracies o…
Few Is Enough: Task-Augmented Active Meta-Learning for Brain Cell Classification
Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour +6
Deep Neural Networks (or DNNs) must constantly cope with distribution changes in the input data when the task of interest or the data collection protocol changes. Retraining a netw…
StyPath: Style-Transfer Data Augmentation For Robust Histology Image Classification
Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan +3
The classification of Antibody Mediated Rejection (AMR) in kidney transplant remains challenging even for experienced nephropathologists; this is partly because histological tissue…
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule Networks
Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare +6
Radiographic images offer an alternative method for the rapid screening and monitoring of Coronavirus Disease 2019 (COVID-19) patients. This approach is limited by the shortage of…
DVNet: A Memory-Efficient Three-Dimensional CNN for Large-Scale Neurovascular Reconstruction
Leila Saadatifard, Aryan Mobiny, Pavel Govyadinov +2
Maps of brain microarchitecture are important for understanding neurological function and behavior, including alterations caused by chronic conditions such as neurodegenerative dis…
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep Networks
Aryan Mobiny, Hien V. Nguyen, Supratik Moulik +2
Deep neural networks (DNNs) have achieved state-of-the-art performances in many important domains, including medical diagnosis, security, and autonomous driving. In these domains w…
Fast CapsNet for Lung Cancer Screening
Aryan Mobiny, Hien Van Nguyen
Lung cancer is the leading cause of cancer-related deaths in the past several years. A major challenge in lung cancer screening is the detection of lung nodules from computed tomog…
Text-Independent Speaker Verification Using Long Short-Term Memory Networks
Aryan Mobiny, Mohammad Najarian
In this paper, an architecture based on Long Short-Term Memory Networks has been proposed for the text-independent scenario which is aimed to capture the temporal speaker-related i…
Lung Cancer Screening Using Adaptive Memory-Augmented Recurrent Networks
Aryan Mobiny, Supratik Moulik, Hien Van Nguyen
In this paper, we investigate the effectiveness of deep learning techniques for lung nodule classification in computed tomography scans. Using less than 10,000 training examples, o…