73 citations · 77 across the 5 of their papers we have counts for
6 papers
Segmentation of diagnostic tissue compartments on whole slide images with renal thrombotic microangiopathies (TMAs)
Huy Q. Vo, Pietro A. Cicalese, Surya Seshan +18
The thrombotic microangiopathies (TMAs) manifest in renal biopsy histology with a broad spectrum of acute and chronic findings. Precise diagnostic criteria for a renal biopsy diagn…
Histopathology DatasetGAN: Synthesizing Large-Resolution Histopathology Datasets
S. A. Rizvi, P. Cicalese, S. V. Seshan +3
Self-supervised learning (SSL) methods are enabling an increasing number of deep learning models to be trained on image datasets in domains where labels are difficult to obtain. Th…
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…