IEEE EMBC 2026 || Toronto, Canada || 26-30 July 2026

Tu.P7: Brain Tumor & Stroke Imaging

Tuesday, 28 July, 16:30 - 18:30

Location: Hall E (Exhibition Hall)

Session Type: Poster

Theme 2: Biomedical Imaging and Image Processing

Poster Board: A-8

Tu.P7.A-8: TDSLK-UNet: U-Net with Bottleneck Transformer and Depthwise Separable Large-Kernel Convolution — Application to Breast Ultrasound Segmentation

Zhiwei Gao, Chikayoshi Sumi, Graduate School of Sophia University

Poster Board: A-9

Tu.P7.A-9: A DUAL BRANCH EFFICIENTNET AND VISION MAMBA NETWORK FOR SKIN LESION CLASSIFICATION

Ziyi Yang, Hamid GholamHosseini, Martin Stommel, Auckland University of Technology

Poster Board: A-10

Tu.P7.A-10: R-ECAM: RELIABILITY-AWARE ENSEMBLE CLASS ACTIVATION MAP FOR BREAST LESION PSEUDO-MASK GENERATION

Somayeh Barzegar, Naimul Khan, Toronto Metropolitan University

Poster Board: A-11

Tu.P7.A-11: Benchmarking Deep Learning Models against Manual Assessment: A Dual-Track Evaluation of TME Quantification in HER2+ Breast Cancer

Shihui Zu, Chen Wu, Dalian University of Technology; Yong Zhang, Tao Sun, Cancer Hospital of Dalian University of Technology; Hongming Xu, Dalian University of Technology

Poster Board: A-12

Tu.P7.A-12: A LIGHTWEIGHT CONVOLUTIONAL NEURAL NETWORK FOR FOUR-CLASS BRAIN TUMOR CLASSIFICATION

Kathryn Wu, National Cathedral School; Benyamin Haghi, California Institute of Technology

Poster Board: A-13

Tu.P7.A-13: Mask-Conditioned 3D Diffusion for Synthetic Diffusion-Weighted Imaging in Ischemic Stroke

Gi Pyo Lee, Gachon University; Young Jae Kim, Sang Hee Ha, Gachon University Gil Medical Center; Kwang Gi Kim, Gil Medical Center, College of Medicine, Gachon University

Poster Board: A-14

Tu.P7.A-14: One Size Fits All: Modality-Agnostic Stroke Segmentation Using Non-Uniform Clinical Data

Brooke Kindleman, Johanna Ospel, Mariana Bento, University of Calgary

Poster Board: A-15

Tu.P7.A-15: Multispectral Skin Lesion Imaging Registration Using ECC-SDF Optimization

Maria Oniga, Razvan George Condorovici, Alina Elena Sultana, National University of Science and Technology POLITEHNICA Buchares; Daniel Octavian Costache, Horia Blejan, Anton Mihai Tilea, ‘Carol Davila’ University of Medicine and Pharmacy

Poster Board: A-16

Tu.P7.A-16: DEEP LEARNING-BASED OPTIC NEURITIS DIFFERENTIATION: A FRAMEWORK INTEGRATING MISSING MODALITY COMPLETION AND CROSS-MODAL FUSION

Zhicheng Jia, Zhiming Su, Zijian Tang, Northwest University; Hui Zhang, Xi'an Fourth Hospital; Huangjian Yi, Northwest University; Lijuan Yang, Xi'an Fourth Hospital; Xiaowei He, Fengjun Zhao, Northwest University

Poster Board: A-17

Tu.P7.A-17: 3D RESIDUAL ATTENTION U-NET WITH THREE-CHANNEL INPUT FOR AUTOMATIC DETECTION OF CEREBRAL MICROBLEEDS ON SWI

Pattarawut Charatpangoon, Kazbek Barakhanov, Arun Kathuveetil, Jianhai Zhang, Cody Doolan, Muhammad Mahajna, University of Calgary; Abdoljalil Addeh, Mount Royal University; Feryal Saad, Mohammed Almekhlafi, University of Calgary; Richard H. Swartz, University of Toronto; Bijoy K. Menon, M. Ethan MacDonald, Aravind Ganesh, University of Calgary

Poster Board: A-18

Tu.P7.A-18: AI-BASED 3D BREAST GEOMETRY RECONSTRUCTION IN WEARABLE BRA-BASED ELASTOGRAPHY FOR ACCESSIBLE EARLY CANCER DETECTION

Coline Gauge, Jessica Stephania Colin Omana, Zacharie Laly, Hassan M. Ahmed, University of Sherbrooke; Elijah Van Houten, University of Strasbourg, UMR 7357; Jean-Baptiste Michaud, University of Sherbrooke

Poster Board: A-19

Tu.P7.A-19: ENHANCING BREAST LESION CLASSIFICATION VIA RADIOMICS ON 2D COMPRESSED ULTRASOUND IMAGES

Meri Ferretti, Politecnico di Milano; Lucia Vavassori, Medtronic; Valentina D. A. Corino, Politecnico di Milano

Poster Board: A-20

Tu.P7.A-20: Resting-State fNIRS for Early Differentiation of Large Vessel Occlusion and Non-LVO Stroke

Mengjiao Hu, Institute for Infocomm Research (I2R); Leonard Yeo, National University Health System; Hariz Halik, National University Hospital; Chuanchu Wang, Kai Keng Ang, Institute for Infocomm Research (I2R)

Poster Board: A-21

Tu.P7.A-21: BRAIN TUMOR DIAGNOSIS VIA HYPERSPECTRAL IMAGE ANALYSIS, GRAPH CONVOLUTIONAL NETWORKS, AND DEEP FEATURE FUSION

Marina Fayez, Muhammad Rushdi, Cairo University

Poster Board: A-22

Tu.P7.A-22: A Transformer-based Deep Learning Approach for Source Imaging of Pathological High-Frequency Oscillations in Epilepsy

Jesse Rong, Zhengxiang Cai, Carnegie Mellon University; Boney Joseph, Gregory A. Worrell, Mayo Clinic; Bin He, Carnegie Mellon University

Poster Board: A-23

EMBC 2026