WE-SS.3P: Learning-based and Unconventional Techniques for Inverse Scattering Problems
Wed, 15 Jul, 13:20 - 17:00
Location: Room 250C
Session Type: Oral
Session Co-Chairs: Matthew Burfeindt, Naval Research Laboratory and Guido Lombardi, Politecnico di Torino
Track: Special Sessions
Wed, 15 Jul, 13:20 - 13:40

WE-SS.3P.1: An Overview of the Challenges of Electromagnetic Inversion inside of Conducting Enclosures
Seth Cathers, Colin Gilmore, University of Manitoba, Canada
Wed, 15 Jul, 13:40 - 14:00

WE-SS.3P.2: A Low-Rank Sensitivity-Mapping Approach with Image Enhancement for Microwave Stroke Imaging
Yingxin Xing, Yin Lv, Henan Normal University, China; Rui Guo, Weizmann Institute of Science, Israel; Maokun Li, Tsinghua University, China; Xueping Li, Henan Normal University, China
Wed, 15 Jul, 14:00 - 14:20

WE-SS.3P.3: Learning-Based Generation of High-Resolution Microwave Contrast Sources for Biomedical Imaging
M Shifatul Islam, ElectroScience Laboratory, The Ohio State University, United States; Golrokh Mirzaei, The Ohio State University, United States; Md Asiful Islam, Bangladesh University of Engineering and Technology, Bangladesh; Asimina Kiourti, ElectroScience Laboratory, The Ohio State University, United States
Wed, 15 Jul, 14:20 - 14:40

WE-SS.3P.4: Enhancing the Born approximation in inverse scattering using neural networks
Peter Monk, University of Delaware, United States; Ansh Desai, University of Chicago, Finland; Jonathan Ma, University of Delaware, United States; Timo Lahivaara, University of Eastern Finland, Finland
Wed, 15 Jul, 14:40 - 15:00

WE-SS.3P.5: A Multitask Neural Born Iterative Method for 2-D Inverse Scattering with Multi-Frequency Data Fusion
Daoqi Liu, Tsinghua University, China; Tao Shan, Beihang University, China; Maokun Li, Fan Yang, Shenheng Xu, Tsinghua University, China
Coffee Break
Wed, 15 Jul, 15:20 - 15:40

WE-SS.3P.6: A Stacked Neural-Network-based Multi-Fidelity Approach to Solve Inverse Scattering Problems
Ricardo E. Sendrea, Constantinos L. Zekios, Stavros V. Georgakopoulos, Florida International University, United States
Wed, 15 Jul, 15:40 - 16:00

WE-SS.3P.7: Learning-Based Super-Resolution in Synthetic Aperture Radar: A Physics-Informed Approach
Symeon Papadimitropoulos, Chrysoula Tsogka, Jeffrey Tucket, University of California, Merced, United States
Wed, 15 Jul, 16:00 - 16:20

WE-SS.3P.8: Conditional Diffusion Model for Microwave Imaging: Reconstructing Permittivity from Low-resolution Diffraction Tomography Profiles
Faegheh Namvar, Maryam Hajebi, Mansooreh SharifZadeh, University of Hormozgan, Iran; Ahmad Hoorfar, Villanova University, United States
Wed, 15 Jul, 16:20 - 16:40

WE-SS.3P.9: Efficient Layered Media Inversion via Reduced Order Models
Tianchen Shao, Tsinghua University, China; Zekui Jia, Purdue University, United States; Maokun Li, Fan Yang, Shenheng Xu, Tsinghua University, China