activity
20152022
most citedDeep Learning for Medical Image Segmentation

96 citations · 103 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2022★ 1 cited

Orbital-ordered ferromagnetic insulating state in tensile-strained SrCoO thin films

Sheng-Chieh Huang, Kanchan Sarkar, Renata M. Wentzcovitch +1

At ambient pressure, bulk SrCoO is a ferromagnetic (FM) metal in cubic perovskite structure. By contrast, magnetic properties of epitaxial SrCoO thin films, especially…

cond-mat.mtrl-sci2022

The postperovskite transition in Fe- and Al-bearing bridgmanite: effects on seismic observables

Juan J. Valencia-Cardona, Renata M. Wentzcovitch, Jingyi Zhuang +2

The primary phase of the Earth's lower mantle, (Al, Fe)-bearing bridgmanite, transitions to the postperovskite (PPv) phase at Earth's deep mantle conditions. Despite extensive expe…

physics.comp-ph2016★ 6 cited

Evolutionary optimization of PAW data-sets for accurate high pressure simulations

Kanchan Sarkar, Mehmet Topsakal, N. A. W. Holzwarth +1

We examine the challenge of performing accurate electronic structure calculations at high pressures by comparing the results of all-electron full potential linearized augmented-pla…

cond-mat.mtrl-sci2015

Pure and Hybrid Evolutionary Computing in Global Optimization of Chemical Structures: from Atoms and Molecules to Clusters and Crystals

Kanchan Sarkar, S. P. Bhattacharyya

The growth of evolutionary computing (EC) methods in the exploration of complex potential energy landscapes of atomic and molecular clusters, as well as crystals over the last deca…

cs.LG2015★ 96 cited

Deep Learning for Medical Image Segmentation

Matthew Lai

This report provides an overview of the current state of the art deep learning architectures and optimisation techniques, and uses the ADNI hippocampus MRI dataset as an example to…