96 citations · 209 across the 20 of their papers we have counts for
6 papers · 1 filter
Computational Pathology: A Survey Review and The Way Forward
Mahdi S. Hosseini, Babak Ehteshami Bejnordi, Vincent Quoc-Huy Trinh +18
Computational Pathology CPath is an interdisciplinary science that augments developments of computational approaches to analyze and model medical histopathology images. The main ob…
HistoKT: Cross Knowledge Transfer in Computational Pathology
Ryan Zhang, Jiadai Zhu, Stephen Yang +7
The lack of well-annotated datasets in computational pathology (CPath) obstructs the application of deep learning techniques for classifying medical images. %Since pathologist time…
FocusLiteNN: High Efficiency Focus Quality Assessment for Digital Pathology
Zhongling Wang, Mahdi S. Hosseini, Adyn Miles +2
Out-of-focus microscopy lens in digital pathology is a critical bottleneck in high-throughput Whole Slide Image (WSI) scanning platforms, for which pixel-level automated Focus Qual…
Focus Quality Assessment of High-Throughput Whole Slide Imaging in Digital Pathology
Mahdi S. Hosseini, Yueyang Zhang, Lyndon Chan +3
One of the challenges facing the adoption of digital pathology workflows for clinical use is the need for automated quality control. As the scanners sometimes determine focus inacc…
Convolutional Deblurring for Natural Imaging
Mahdi S. Hosseini, Konstantinos N. Plataniotis
In this paper, we propose a novel design of image deblurring in the form of one-shot convolution filtering that can directly convolve with naturally blurred images for restoration.…
Encoding Visual Sensitivity by MaxPol Convolution Filters for Image Sharpness Assessment
Mahdi S. Hosseini, Yueyang Zhang, Konstantinos N. Plataniotis
In this paper, we propose a novel design of Human Visual System (HVS) response in a convolution filter form to decompose meaningful features that are closely tied with image sharpn…