117 citations · 171 across the 5 of their papers we have counts for
5 papers
MITI Minimum Information guidelines for highly multiplexed tissue images
Denis Schapiro, Clarence Yapp, Artem Sokolov +36
The imminent release of tissue atlases combining multi-channel microscopy with single cell sequencing and other omics data from normal and diseased specimens creates an urgent need…
NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation
Mohamed Amgad, Lamees A. Atteya, Hagar Hussein +34
High-resolution mapping of cells and tissue structures provides a foundation for developing interpretable machine-learning models for computational pathology. Deep learning algorit…
HistomicsML2.0: Fast interactive machine learning for whole slide imaging data
Sanghoon Lee, Mohamed Amgad, Deepak R. Chittajallu +6
Extracting quantitative phenotypic information from whole-slide images presents significant challenges for investigators who are not experienced in developing image analysis algori…
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC)
Noel C. F. Codella, David Gutman, M. Emre Celebi +8
This article describes the design, implementation, and results of the latest installment of the dermoscopic image analysis benchmark challenge. The goal is to support research and…
A symmetry-based method to infer structural brain networks from tractography data
Kamal Shadi, Saideh Bakhshi, David A. Gutman +2
Recent progress in diffusion MRI and tractography algorithms as well as the launch of the Human Connectome Project (HCP) have provided brain research with an abundance of structura…