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Viksit Kumar
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2020 – today
- 2022
- [j8]Shuhang Wang, Vivek Kumar Singh, Eugene Cheah, Xiaohong Wang, Qian Li, Shinn-Huey Chou, Constance D. Lehman, Viksit Kumar, Anthony E. Samir:
Stacked dilated convolutions and asymmetric architecture for U-Net-based medical image segmentation. Comput. Biol. Medicine 148: 105891 (2022) - [j7]Vivek Kumar Singh, Elham Yousef Kalafi, Shuhang Wang, Alex Benjamin, Mercy Asideu, Viksit Kumar, Anthony E. Samir:
Prior wavelet knowledge for multi-modal medical image segmentation using a lightweight neural network with attention guided features. Expert Syst. Appl. 209: 118166 (2022) - 2021
- [c3]Kaustav Brahma, Viksit Kumar, Anthony E. Samir, Anantha P. Chandrakasan, Yonina C. Eldar:
Efficient Binary Cnn For Medical Image Segmentation. ISBI 2021: 817-821 - [i3]Shuhang Wang, Vivek Kumar Singh, Alex Benjamin, Mercy Asiedu, Elham Yousef Kalafi, Eugene Cheah, Viksit Kumar, Anthony E. Samir:
Network-Agnostic Knowledge Transfer for Medical Image Segmentation. CoRR abs/2101.09560 (2021) - 2020
- [j6]Viksit Kumar, Jeremy M. Webb, Adriana Gregory, Duane D. Meixner, John M. Knudsen, Matthew R. Callstrom, Mostafa Fatemi, Azra Alizad:
Automated Segmentation of Thyroid Nodule, Gland, and Cystic Components From Ultrasound Images Using Deep Learning. IEEE Access 8: 63482-63496 (2020) - [j5]Viksit Kumar, Po-Yang Lee, Bae-Hyung Kim, Mostafa Fatemi, Azra Alizad:
Gap-Filling Method for Suppressing Grating Lobes in Ultrasound Imaging: Experimental Study With Deep-Learning Approach. IEEE Access 8: 76276-76286 (2020) - [c2]Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Quan Li, Viksit Kumar, Anthony E. Samir:
Self-Supervised Pretraining with DICOM metadata in Ultrasound Imaging. MLHC 2020: 732-749 - [i2]Szu-Yeu Hu, Shuhang Wang, Wei-Hung Weng, Jingchao Wang, Xiaohong Wang, Arinc Ozturk, Qian Li, Viksit Kumar, Anthony E. Samir:
Weakly Supervised Context Encoder using DICOM metadata in Ultrasound Imaging. CoRR abs/2003.09070 (2020) - [i1]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:
U-Net Using Stacked Dilated Convolutions for Medical Image Segmentation. CoRR abs/2004.03466 (2020)
2010 – 2019
- 2019
- [j4]Siavash Ghavami, Adriana Gregory, Jeremy M. Webb, Mahdi Bayat, Max Denis, Viksit Kumar, Todd A. Milbrand, A. Noelle Larson, Mostafa Fatemi, Azra Alizad:
Ultrasound Radiation Force for the Assessment of Bone Fracture Healing in Children: An In Vivo Pilot Study. Sensors 19(4): 955 (2019) - [j3]Viksit Kumar, Minako Katayama, Rachael Peavler, Azra Alizad, Marek Belohlavek, Mostafa Fatemi:
Real-Time Visualization of an Acoustically Active Injection Catheter With Ultrasound Imaging: Algorithm and In Vivo Validation in a Swine Model. IEEE Trans. Biomed. Eng. 66(11): 3212-3219 (2019) - 2018
- [j2]Viksit Kumar, Richard Liu, Randall R. Kinnick, Adriana Gregory, Azra Alizad, Marek Belohlavek, Mostafa Fatemi:
Unambiguous Identification and Visualization of an Acoustically Active Catheter by Ultrasound Imaging in Real Time: Theory, Algorithm, and Phantom Experiments. IEEE Trans. Biomed. Eng. 65(7): 1468-1475 (2018) - [j1]Mahdi Bayat, Alireza Nabavizadeh, Viksit Kumar, Adriana Gregory, Michael F. Insana, Azra Alizad, Mostafa Fatemi:
Automated In Vivo Sub-Hertz Analysis of Viscoelasticity (SAVE) for Evaluation of Breast Lesions. IEEE Trans. Biomed. Eng. 65(10): 2237-2247 (2018) - 2014
- [c1]Viksit Kumar, Timothy A. Bigelow, Barbara L. McFarlin:
Cervical attenuation as a measure of preterm delivery: Impact of different region of interest sizes. EMBC 2014: 234-237
Coauthor Index
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