Tomas Sakinis

According to our database, Tomas Sakinis authored at least 3 papers between 2019 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2021

Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images.

Naveen Paluru, Aveen Dayal, Håvard Bjørke Jenssen, Tomas Sakinis, Linga Reddy Cenkeramaddi, Jaya Prakash, Phaneendra K. Yalavarthy

IEEE Trans. Neural Networks Learn. Syst., 2021

2019

RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.

Kenneth A. Philbrick, Alexander D. Weston, Zeynettin Akkus, Timothy L. Kline, Panagiotis Korfiatis, Tomas Sakinis, Petro M. Kostandy, Arunnit Boonrod, Atefeh Zeinoddini, Naoki Takahashi, Bradley J. Erickson

J. Digit. Imaging, 2019

Interactive segmentation of medical images through fully convolutional neural networks.

Tomas Sakinis, Fausto Milletari, Holger Roth, Panagiotis Korfiatis, Petro M. Kostandy, Kenneth Philbrick, Zeynettin Akkus, Ziyue Xu, Daguang Xu, Bradley J. Erickson

CoRR, 2019