Cervical attenuation as a measure of preterm delivery: Impact of different region of interest sizes. - Viksit Kumar; Timothy A. Bigelow; Barbara L. McFarlin (EMBC, 2014)

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)

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)

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)

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)

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 (MLHC, 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)

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)

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 032; Viksit Kumar; Anthony E. Samir (CoRR, 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 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; et al. (CoRR, 2020)

Efficient Binary Cnn For Medical Image Segmentation. - Kaustav Brahma; Viksit Kumar; Anthony E. Samir; Anantha P. Chandrakasan; Yonina C. Eldar (ISBI, 2021)

Network-Agnostic Knowledge Transfer for Medical Image Segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Alex Benjamin; Mercy Asiedu; Elham Yousef Kalafi; Eugene Cheah; Viksit Kumar; Anthony E. Samir (CoRR, 2021)

Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. - Shuhang Wang; Vivek Kumar Singh 008; Eugene Cheah; Xiaohong Wang; Qian Li 032; Shinn-Huey Chou; Constance D. Lehman; Viksit Kumar; Anthony E. Samir (Comput. Biol. Medicine, 2022)

Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. - Vivek Kumar Singh 008; Elham Yousef Kalafi; Shuhang Wang; Alex Benjamin; Mercy Nyamewaa Asiedu; Viksit Kumar; Anthony E. Samir (Expert Syst. Appl., 2022)