Vaddadi Venkatesh.
I am a Ph.D. student in the Medical Imaging Group (MIG) headed by Dr. Phaneendra K Yalavarthy, Prof., Computational and Data Sciences (CDS), Indian Institute of Science (IISc) Bangalore. Before joining IISc Bangalore, I did M Tech in Computer Science, from the School of Computer and Information Sciences (SCIS), University of Hyderabad(UoH), under the supervision of Dr. V Ch Venkaiah Prof., CS, UoH.
Research Interests
Medical Image Reconstruction
Efficient Model-based Deep Learning algorithms for solving inverse problems
Task-Specific Deep Learning Models for Medical Image Analysis
Publications
2024
Vaddadi Venkatesh, Raji Susan Mathew, and Phaneendra K. Yalavarthy. "SpiNet-QSM: Model-based Deep Learning with Schatten p‐norm Regularization for Improved Quantitative Susceptibility Mapping," Magnetic Resonance Materials in Physics, Biology and Medicine, doi: 10.1007/s10334-02tim4-01158-7.
2023
K. R. Gujarati, L. Bathala, V. Venkatesh, R. S. Mathew and P. K. Yalavarthy, "Transformer-based Automated Segmentation of the Median Nerve in Ultrasound Videos of Wrist-to-Elbow Region," in IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, doi: 10.1109/TUFFC.2023.3330539.
Ayoob, A. K., Vaddadi, V., Yalavarthy, P. K., & Janakiram, C. (2023). Tooth detection and numbering in panoramic radiographs using an artificial intelligence approach. Population Medicine, 5, https://doi.org/10.18332/popmed/164270.
Workshops/Posters
2024
Presented my research work in the EECS Research Students Symposium., Organized by IISc Bangalore, 4-5 Apr, (2024).
Vaddadi Venkatesh. (2024). "Novel and Efficient Model-Based and Deep Learning based Models for Medical Imaging." In Book of Abstracts, EECS 2024, Indian Institute of Science, p. 53. Retrieved from https://eecs.iisc.ac.in/EECS2024/resources/BookofAbstracts_final.pdf
One of the Instructors for the One-Day Workshop on "Python Libraries for Machine Learning" at Siemens Healthineers, Organized by IISc Bangalore, Feb, 2024.
2023
Venkatesh Vaddadi, Raji Susan Mathew, and Phaneendra K. Yalavarthy. "SpiNet-QSM: Model-based Deep Learning with Schatten p‐norm Regularization for Improved Quantitative Susceptibility Mapping,", Poster Presentation, Medical Image Computing Workshop, Organized by IISc Bangalore, 24-25 Feb, (2023). [Best Poster Award]
Relevant Courses
M.Tech: Design Analysis of Algorithms, Data structures, Operating systems, and Machine Learning
Ph.D. : Numerical Linear Algebra, Numerical Optimization, Machine Learning for Signal Processing, Medical Imaging, Data Analysis and Visualization, Research Methods.
Teaching Assistant
IISc Bangalore:
DS 261(3:1): Artificial Intelligence for Medical Image Analysis Aug-Dec, 2023 GitHub
UOH Bangalore:
Basics of Cryptography Jan-Apr, 2018
Compression Algorithms Aug-Dec, 2018
Instructor
Aster Health Academy:
AI in Healthcare: Theory to Practice Nov,2023 - Mar,2024
AI in Healthcare: Theory to Practice 2.0 Mar,2024 -
