Vaddadi Venkatesh.
Vaddadi Venkatesh.
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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.
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
Research Interests
Efficient Deep learing Models Development for Medical Image Analysis (Task-Specific).
Efficient Deep learing Models Development for Medical Image Analysis (Task-Specific).
Efficient Model-based Deep Learning algorithms for solving inverse problems.
Publications
Publications
2025
2025
Venkatesh Vadaddi, Raji S. Mathew, and Phaneendra K. Yalavarthy, "ISDU-QSMNet: Iteration Specific Denoising with Unshared Weights for Improved QSM Reconstruction," NMR in Biomedicine 2025 (in press). [Supplementary Information; doi: 10.1002/nbm.70152]
Venkatesh Vadaddi, Raji S. Mathew, and Phaneendra K. Yalavarthy, "ISDU-QSMNet: Iteration Specific Denoising with Unshared Weights for Improved QSM Reconstruction," NMR in Biomedicine 2025 (in press). [Supplementary Information; doi: 10.1002/nbm.70152]
2024
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.
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
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.
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
Workshops/Posters
2024
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
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
Relevant Courses
M.Tech: Design Analysis of Algorithms, Data structures, Operating systems, and Machine Learning
M.Tech: Design Analysis of Algorithms, Data structures, Operating systems, and Machine Learning
Ph.D. : Numerical Linear Algebra, Numerical Optimization, Machine Learning, Medical Imaging, Data Analysis and Visualization, Research Methods.
Experience
Experience
CR Rao Advanced Institute of Mathematics, Statistics and Computer Science (AIMSCS)
Junior Research Fellow — Jul 2019 to Dec 2019American Express
Data Scientist, Intern — Jan 2025 to Jul 2025
Teaching Assistant
Teaching Assistant
IISc Bangalore:
IISc Bangalore:
DS 261(3:1): Artificial Intelligence for Medical Image Analysis Aug-Dec, 2023 GitHub
UOH Bangalore:
UOH Bangalore:
Basics of Cryptography Jan-Apr, 2018
Compression Algorithms Aug-Dec, 2018
Instructor
Instructor
Aster Health Academy:
Aster Health Academy:
AI in Healthcare: Theory to Practice 1.0 Nov,2023 - Mar,2024
AI in Healthcare: Theory to Practice 2.0 Mar,2024 - Aug,2024
AI in Healthcare: Theory to Practice 3.0 Aug,2024 - Dec,2024
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