IEEE AP-S/URSI 2023 || Portland, Oregon, USA || 23-28 July 2023

TU-SP.1A.4

Deep Feature Learning for Microwave Mammography With Convolutional Autoencoders

Seyed Hossein Mirjahanmardi, Stanford University, United States; Hamid Akbari-Chelaresi, University of Waterloo, Canada; Rasoul Sali, Stanford University, United States; Omar Ramahi, University of Waterloo, Canada

Session:

Advances in Microwave, mm and THz Imaging Systems and Technologies for Medical Applications

Track:

Special Sessions

Location:

Oregon Ballroom 201 (OCC)

Session Time:

Tue, 25 Jul, 08:00 - 11:40 PDT (UTC -8)

Presentation Time:

Tue, 25 Jul, 09:00 - 09:20 PDT (UTC -8)

Session Co-Chairs:

Elise Fear , University of Calgary, Calgary, CANADA and Francesca Vipiana, Politecnico di Torino, Torino, Italy

Session TU-SP.1A

TU-SP.1A.1: Experimental monitoring of microwave-induced thermoacoustic signals generated during pulsed microwave ablation

Audrey Evans, Ruixi Liu, Chu Ma, Susan Hagness, University of Wisconsin-Madison, United States

TU-SP.1A.2: Microwave Imaging with Magnetic Nanoparticles: System and Algorithms

Vijaya Naruganahalli Channa, Cameron Kaye, Joe LoVetri, Colin Gilmore, University of Manitoba, Canada

TU-SP.1A.3: The Wavelia#2 Microwave Breast Imaging scanner: experimental performance analysis towards clinical investigation

Angie Fasoula, Luc Duchesne, MVG Industries, France

TU-SP.1A.4: Deep Feature Learning for Microwave Mammography With Convolutional Autoencoders

TU-SP.1A.5: Point-of-care microwave scanner for monitoring breast cancer treatment: an initial stability analysis

Pedram Mojabi, Jeremie Bourqui, Bryce Besler, Bobbie Docktor, Elise Fear, University of Calgary, Canada

TU-SP.1A.6: Realistic colon phantoms for microwave colonoscopy validation

Alejandra Garrido-Atienza, Marta Guardiola, MiWEndo Solutions SL, Spain; Jordi Romeu, Universitat Politècnica de Catalunya, Spain; Luz María Neira, MiWEndo Solutions SL, Spain

TU-SP.1A.7: An Ultra-Wideband Compact Planar Antenna for Wearable Microwave Medical Imaging Applications

Zheng Gong, University of Waikato, New Zealand; Caiyi Liao, Hui Zhang, Yahui Ding, University of Electronic Science and Technology of China, China; Yifan Chen, University of Waikato, New Zealand

TU-SP.1A.8: Brain Stroke Detection using Electromagnetic Tomography: A New Portable Scanner

Tommy Henriksson, Ramon Planas, Christian El-Salloum, Paolo Gatto, Abdolrahman Khavari, Francisco Romero-Hinrichsen, EMTensor GmbH, Austria; Stephen Pearce, EMTensor Inc., United States

TU-SP.1A.9: Cancer Classification of Surgical Breast Tumor Specimens using Spectral Angular Mapping Terahertz Imaging.

Nagma Vohra, Nikita Gurjar, University of Arkansas, United States; Keith Bailey, Charles River Laboratory, United States; Magda El-Shenawee, University of Arkansas, United States

IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting

July 23–28, 2023 • Portland, Oregon, USA

Deep Feature Learning for Microwave Mammography With Convolutional Autoencoders