68 citations · 75 across the 6 of their papers we have counts for
6 papers
The IBEX Knowledge-Base: Achieving more together with open science
Andrea J. Radtke, Ifeanyichukwu Anidi, Leanne Arakkal +55
Iterative Bleaching Extends multipleXity (IBEX) is a versatile method for highly multiplexed imaging of diverse tissues. Based on open science principles, we created the IBEX Knowl…
Harmonizing the Generation and Pre-publication Stewardship of FAIR Image Data
Nikki Bialy, Frank Alber, Brenda Andrews +44
Alongside molecular insights into genes and proteins, biological imaging holds great promise for deepening scientific understanding of complex cellular systems and advancing predic…
IBEX: An open and extensible method for high content multiplex imaging of diverse tissues
Andrea J. Radtke, Colin J. Chu, Ziv Yaniv +14
High content imaging is needed to catalogue the variety of cellular phenotypes and multi-cellular ecosystems present in metazoan tissues. We recently developed Iterative Bleaching…
A Distance Map Regularized CNN for Cardiac Cine MR Image Segmentation
Shusil Dangi, Cristian Linte, Ziv Yaniv
Cardiac image segmentation is a critical process for generating personalized models of the heart and for quantifying cardiac performance parameters. Several convolutional neural ne…
Left Ventricle Segmentation and Quantification from Cardiac Cine MR Images via Multi-task Learning
Shusil Dangi, Ziv Yaniv, Cristian A. Linte
Segmentation of the left ventricle and quantification of various cardiac contractile functions is crucial for the timely diagnosis and treatment of cardiovascular diseases. Traditi…
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach
Bradley C. Lowekamp, David T. Chen, Ziv Yaniv +1
Superpixel algorithms have proven to be a useful initial step for segmentation and subsequent processing of images, reducing computational complexity by replacing the use of expens…