17 citations · 17 across the 3 of their papers we have counts for
4 papers
L-CO-Net: Learned Condensation-Optimization Network for Clinical Parameter Estimation from Cardiac Cine MRI
S. M. Kamrul Hasan, Cristian A. Linte
In this work, we implement a fully convolutional segmenter featuring both a learned group structure and a regularized weight-pruner to reduce the high computational cost in volumet…
CondenseUNet: A Memory-Efficient Condensely-Connected Architecture for Bi-ventricular Blood Pool and Myocardium Segmentation
S. M. Kamrul Hasan, Cristian A. Linte
With the advent of Cardiac Cine Magnetic Resonance (CMR) Imaging, there has been a paradigm shift in medical technology, thanks to its capability of imaging different structures wi…
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. M. Kamrul Hasan, Cristian A. Linte
Conventional therapy approaches limit surgeons' dexterity control due to limited field-of-view. With the advent of robot-assisted surgery, there has been a paradigm shift in medica…
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…