Viksit Kumar

According to our database, Viksit Kumar authored at least 14 papers between 2014 and 2022.

Collaborative distances:

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

2022

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features.

Vivek Kumar Singh, Elham Yousef Kalafi, Shuhang Wang, Alex Benjamin, Mercy Asideu, Viksit Kumar, Anthony E. Samir

Expert Syst. Appl., 2022

Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation.

Shuhang Wang, Vivek Kumar Singh, Eugene Cheah, Xiaohong Wang, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir

Comput. Biol. Medicine, 2022

2021

Network-Agnostic Knowledge Transfer for Medical Image Segmentation.

Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony E. Samir

CoRR, 2021

Efficient Binary Cnn For Medical Image Segmentation.

Kaustav Brahma, Viksit Kumar, Anthony E. Samir, Anantha P. Chandrakasan, Yonina C. Eldar

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020

U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation.

Shuhang Wang, Szu-Yeu Hu, Eugene Cheah, Xiaohong Wang, Jingchao Wang, Lei Chen, Masoud Baikpour, Arinc Ozturk, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir

CoRR, 2020

Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir

CoRR, 2020

Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning.

Viksit Kumar, Jeremy M. Webb, Adriana Gregory, Duane D. Meixner, John M. Knudsen, Matthew R. Callstrom, Mostafa Fatemi, Azra Alizad

IEEE Access, 2020

Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study With Deep-Learning Approach.

Viksit Kumar, Po-Yang Lee, Bae-Hyung Kim, Mostafa Fatemi, Azra Alizad

IEEE Access, 2020

Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging.

Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir

Proceedings of the Machine Learning for Healthcare Conference, 2020

2019

Real-Time Visualization of an Acoustically Active Injection Catheter With Ultrasound Imaging: Algorithm and In Vivo Validation in a Swine Model.

Viksit Kumar, Minako Katayama, Rachael Peavler, Azra Alizad, Marek Belohlavek, Mostafa Fatemi

IEEE Trans. Biomed. Eng., 2019

Ultrasound Radiation Force for the Assessment of Bone Fracture Healing in Children: An In Vivo Pilot Study.

Siavash Ghavami, Adriana Gregory, Jeremy M. Webb, Mahdi Bayat, Max Denis, Viksit Kumar, Todd A. Milbrand, A. Noelle Larson, Mostafa Fatemi, Azra Alizad

Sensors, 2019

2018

Unambiguous Identification and Visualization of an Acoustically Active Catheter by Ultrasound Imaging in Real Time: Theory, Algorithm, and Phantom Experiments.

Viksit Kumar, Richard Liu, Randall R. Kinnick, Adriana Gregory, Azra Alizad, Marek Belohlavek, Mostafa Fatemi

IEEE Trans. Biomed. Eng., 2018

Automated In Vivo Sub-Hertz Analysis of Viscoelasticity (SAVE) for Evaluation of Breast Lesions.

Mahdi Bayat, Alireza Nabavizadeh, Viksit Kumar, Adriana Gregory, Michael F. Insana, Azra Alizad, Mostafa Fatemi

IEEE Trans. Biomed. Eng., 2018

2014

Cervical attenuation as a measure of preterm delivery: Impact of different region of interest sizes.

Viksit Kumar, Timothy A. Bigelow, Barbara L. McFarlin

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014