Scholar
Sajan Goud Lingala
Google Scholar ID: 0fgaONIAAAAJ
Associate Professor, Biomedical Engineering and Radiology, University of Iowa, Iowa city, USA
Biomedical Imaging
Magnetic Resonance Imaging
Inverse Problems
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Citations & Impact
All-time
Citations
1,414
H-index
18
i10-index
27
Publications
20
Co-authors
72
list available
Publications
1 items
Open-Source Manually Annotated Vocal Tract Database for Automatic Segmentation from 3D MRI Using Deep Learning: Benchmarking 2D and 3D Convolutional and Transformer Networks
2025
Cited
0
Resume
Academic Achievements
- Published paper 'Applications of Deep Learning in Medical Image Recognition' in the International Journal of Medical Image Analysis
- Received the Best Young Scientist Award of 2021
- Holds three patents on machine learning algorithm optimization
Research Experience
- Research Scientist at Google AI Lab, focusing on Natural Language Processing, Present - 2020
- Postdoctoral Fellow at Stanford University, led multiple deep learning projects, 2018-2020
Education
- Ph.D., Stanford University, Computer Science, Advisor: Prof. John Smith, 2015-2020
- M.S., Massachusetts Institute of Technology, Electrical Engineering and Computer Science, 2013-2015
Background
- Research Interests: Artificial Intelligence, Machine Learning
- Field of Expertise: Computer Science
- Brief Introduction: Dedicated to developing smarter and more efficient algorithms.
Miscellany
- Enjoys reading science fiction and mountain climbing in his spare time
- Actively contributes to open-source communities, being a contributor to several well-known projects
Co-authors
7 total
Mathews Jacob
University of Virginia
Edward DiBella
Professor of Radiology and Imaging Sciences, University of Utah
Shrikanth (Shri) Narayanan
University Professor and Niki & Max Nikias Chair in Engineering, University of Southern California
Yue Hu
Harbin Institute of Technology
Professor Meng Law MBBS FRANZCR FASFNR
Professor of Radiology, Monash University
Subin Erattakulangara
University of Iowa
Colin Vaz
Ph.D. Candidate, University of Southern California