73 citations · 98 across the 5 of their papers we have counts for
6 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…
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…
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…