26-30 July 2026

EMBC 2026

Toronto, Canada
We.P34: Image registration and segmentation
Wednesday, 29 July, 16:30 - 18:30
Location: Hall E
Session Type: Poster
Theme 2: Biomedical Imaging and Image Processing
Poster Board: B-32

We.P34.B-32: QUANTITATIVE ANALYSIS OF RELIABILITY AND ROBUSTNESS OF DEEP LEARNING–BASED BREAST TUMOR SEGMENTATION IN ULTRASOUND IMAGING
Darshan Dathiya, Institute of Chemical Technology; Khashayar Namdar, University of Toronto; Ajit Kumar, Institute of Chemical Technology
Poster Board: B-33

We.P34.B-33: IMPACT OF COUNTERFACTUAL-BASED DATA AUGMENTATION ON DERMOSCOPIC IMAGE CLASSIFICATION
Sho Hattori, Jinichiro Ogawa, Takashi Nagoka, Graduate School of Biology-Oriented Science and Technology, Kindai University
Poster Board: B-34

We.P34.B-34: Impact of Small Lesion Enlargement on Lesion Segmentation Accuracy
Jinichiro Ogawa, Sho Hattori, Takashi Nagaoka, Graduate School of Biology-Oriented Science and Technology, Kindai University
Poster Board: B-35

We.P34.B-35: AISSIA: A Domain-Generalizable Software Framework for Automated Multi-Label Segmentation of the Circle of Willis on CTA
Omar Aljubairi, Davy Vanderweyen, Kevin Whittingstall, Pascal Tétreault, Université de Sherbrooke
Poster Board: B-36

We.P34.B-36: FAIM-ECHO: HYBRID DEEP LEARNING AND PHYSIOLOGIC GRAPH-SEARCH FUSION FOR ROBUST LV SEGMENTATION IN ECHOCARDIOGRAPHY
Ruhi Sharmin, Purdue University; Sayeed Shafayet Chowdhury, Indiana University Indianapolis; Brett Meyers, Pavlos Vlachos, Purdue University