110 citations · 237 across the 9 of their papers we have counts for
11 papers
Multimodal Breast Lesion Classification Using Cross-Attention Deep Networks
Hung Q. Vo, Pengyu Yuan, Tiancheng He +2
Accurate breast lesion risk estimation can significantly reduce unnecessary biopsies and help doctors decide optimal treatment plans. Most existing computer-aided systems rely sole…
PICASO: Permutation-Invariant Cascaded Attentional Set Operator
Samira Zare, Hien Van Nguyen
Set-input deep networks have recently drawn much interest in computer vision and machine learning. This is in part due to the increasing number of important tasks such as meta-lear…
First arrival picking using U-net with Lovasz loss and nearest point picking method
Pengyu Yuan, Wenyi Hu, Xuqing Wu +2
We proposed a robust segmentation and picking workflow to solve the first arrival picking problem for seismic signal processing. Unlike traditional classification algorithm, image…
Evaluation of Inference Attack Models for Deep Learning on Medical Data
Maoqiang Wu, Xinyue Zhang, Jiahao Ding +4
Deep learning has attracted broad interest in healthcare and medical communities. However, there has been little research into the privacy issues created by deep networks trained f…
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…