26-30 July 2026

EMBC 2026

Toronto, Canada
Tu.P3: Medical Imaging and Clinical Decision Support Systems
Tuesday, 28 July, 16:30 - 18:30
Location: Hall E
Session Type: Poster
Theme 1: Biomedical Signal Processing
Poster Board: E-1

Tu.P3.E-1: MULTI-LLM COLLABORATIVE MRI REPORT GENERATION FOR VISUAL INSTRUCTION TUNING IN BRAIN ONCOLOGY

Sinyoung Ra, Jonghun Kim, Hyunjin Park, Sungkyunkwan University
Poster Board: E-2

Tu.P3.E-2: ENHANCING CYTOLOGICAL STAINING-FREE IMAGE CLASSIFICATION WITH ROBUST VISION TRANSFORMERS

Hugo S. Oliveira, Faculty of Sciences of University of Porto, Faculty of Engineering of University of Porto, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC); Pedro C. Carvalho, Faculty of Sciences of University of Porto; Raquel L. Monteiro, Faculty of Medicine of University of Porto; Daniela Ferreira-Santos, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC); Tania Pereira, Faculty of Engineering of University of Porto, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC); Raphaël F. Canadas, Faculty of Medicine University of Porto, RISE-HEALTH; Hélder P. Oliveira, Faculty of Sciences of University of Porto, Institute for Systems and Computer Engineering, Technology and Science (INESC TEC)
Poster Board: E-3

Tu.P3.E-3: ProtoTopic: Prototypical Network for Few-Shot Medical Topic Modeling

Martin Licht, Sara Ketabi, Farzad Khalvati, University of Toronto
Poster Board: E-4

Tu.P3.E-4: Hybrid Multi-Dimensional MRI Prostate Cancer Detection via Hadamard Network-Based Bias Correction and Residual Networks

Emadeldeen Hamdan, University of Illinois Chicago; Gorkem Durak, Muhammed Enes TASCI, Northwestern University; Abel Lorente Campos, Aritrick Chatterjee, Roger Engelmann, Gregory Karczmar, Aytekin Oto, University of Chicago; Ahmet Enis Cetin, University of Illinois Chicago; Ulas Bagci, Northwestern University
Poster Board: E-5

Tu.P3.E-5: CAUSAL SUBSPACE LEARNING WITH COUNTERFACTUAL REGULARIZATION FOR MEDICAL IMAGE ANALYSIS

Huanlong Gao, Xuelei He, Zechen Zheng, Xiaowei Zhao, Xiaowei He, Northwest University
Poster Board: E-6

Tu.P3.E-6: WHO BENEFITS FROM SINUS SURGERY? COMPARING GENERATIVE AI AND SUPERVISED MACHINE LEARNING FOR PREDICTING SURGICAL OUTCOMES IN CHRONIC RHINOSINUSITIS

Sayeed Shafayet Chowdhury, Indiana University Indianapolis; Snehasis Mukhopadhyay, Purdue University; Shiaofen Fang, Indiana University Indianapolis; Vijay R. Ramakrishnan, Indiana University School of Medicine
Poster Board: E-7

Tu.P3.E-7: Exploiting Wavelet Scattering and Other Spectral Features in Tri-Modal Cross-Attention Framework for Oral Cancer Detection

Rantu Buragohain, Ashutosh Verma, Karan Nathwani, Indian Institute of Technology Jammu; Parmod Kalsotra, Government Medical College, Jammu
Poster Board: E-8

Tu.P3.E-8: SCLERA SEGMENTATION USING U-NET LITE IN A RASPBERRY PI 5

Cristina Elizabeth Reyes Soto, Rigoberto Martinez Mendez, Adriana Herlinda Vilchis Gonzalez, Universidad Autónoma del Estado de México; Azucena Eunice Jiménez Corona, Universidad Popular del Estado de Tlaxcala; Zeus Tlaltecutli Dominguez Vega, Universidad Nacional Autónoma de México; Alexandra Estela Soto Piña, Universidad Autónoma del Estado de México
Poster Board: E-9

Tu.P3.E-9: IMPROVING RARE DISEASE DIAGNOSIS VIA CONTRASTIVE METRIC LEARNING FOR HPO PHENOTYPE EXTRACTION

, ; Rishi Ananth, Jyun-Ping Kao, Harvard Medical School and Massachusetts General Brigham; Wooyong Choi, Sanggoo Kang, MedySapiens; Jonghye Woo, Harvard Medical School and Massachusetts General Brigham
Poster Board: E-10

Tu.P3.E-10: AOASNet: A MODEL EXPLORING THE CORRELATION OF THE ATTENTION MODULES IS USED FOR MEDICAL IMAGE CLASSIFICATION

Zechen Zheng, Yuxin Jin, Huanlong Gao, Xuelei He, Xiaowei He, Northwest University(China)
Poster Board: E-11

Tu.P3.E-11: PERFORMANCE EVALUATION OF QUANTIZED MACHINE LEARNING MODELS FOR REAL-TIME POLYP DETECTION

Gustavo Novack Viana Lima, Carlos Eduardo Gonçalves de Oliveira, Davi de Jesus Teixeira, Rian de Souza Santos, Ricardo Franco, Federal University of Goiás
Poster Board: E-12

Tu.P3.E-12: Data-Efficient Spinal Disease Classification via Fusion of Explicit Part-Aware Shape Subspace Features and Implicit Learned Features

Chiawei Liu, Tsuguhiro Tsukumo, Kota Suto, University of Tsukuba; Tomoyuki Asada, Hospital for Special Surgery; Kousei Miura, Hideki Kadone, Naoya Kikuchi, Yasuhiro Homma, Masashi Yamazaki, Sandra Puentes, Naoto Ienaga, Kazuhiro Fukui, Yoshihiro Kuroda, University of Tsukuba
Poster Board: E-13

Tu.P3.E-13: MULTIMODAL DEEP LEARNING FOR REDUCED LEFT VENTRICULAR EJECTION FRACTION SCREENING USING ECG IMAGES, CHEST RADIOGRAPHS, AND LLM-EXTRACTED LABELS

Felipe Dias, Diego Cardenas, Estela Ribeiro, Ramon Moreno, Marina Rebelo, Jose Krieger, Marco Gutierrez, Heart Institute
Poster Board: E-14

Tu.P3.E-14: CROSS-MODAL ZERO-SHOT MRI SUPER-RESOLUTION VIA AUXILIARY MODALITY GUIDANCE

Feng Xu, Kai Pan, Southern University of Science and Technology; Pujin Cheng, Li Lin, University of Hong Kong; Qiyu Peng, Shenzhen Bay Laboratory; Xiaoying Tang, Southern University of Science and Technology
Poster Board: E-15

Tu.P3.E-15: Region-Affinity Attention for Whole-Slide Breast Cancer Classification in Deep Ultraviolet Imaging

Nagur Shareef Shaik, Teja Krishna Cherukuri, Dong Hye Ye, Georgia State University
Poster Board: E-16

Tu.P3.E-16: Optimizing Signal Preprocessing for Acoustic Tissue Classification in Needle Guided Procedures

Karol Strama, Jakub Gawron, AGH University of Krakow; Katharina Steeg, University Hospital Giessen; Dominik Rzepka, AGH University of Krakow / Medsun labs sp. z o. o.; Michael Friebe, AGH University of Krakow
Poster Board: E-17

Tu.P3.E-17: An Interpretable framework for Brain tumor detection integrating a single shot detector and vision language model (VLM)

Okib Ul Islam, Ayomide Bonojo, Md Mahmudur Rahman, Fahmi Khalifa, Morgan State University
Poster Board: E-18

Tu.P3.E-18: PREDICTION OF MULTIPLE DISTINCT POST MORTEM NEUROPATHOLOGY USING IN VIVO BRAIN MRI AND AUTOMATED MACHINE LEARNING

Christopher Patterson, Tamoghna Chattopadhyay, Emma J. Gleave, Sophia Thomopoulos, Paul M. Thompson, University of Southern California
Poster Board: E-19

Tu.P3.E-19: MedGate-Fusion: Integrating First-Encounter Semantic Narratives and Physiological Biomarkers for Prospective Stroke Risk Stratification

Hemn Khdr, Zahra Shakeri, Mohammad Noaeen, Karim Keshavjee, Dalla Lana School of Public Health, University of Toronto; Aziz Aziz Guergachi, Toronto Metropolitan University
Poster Board: E-20

Tu.P3.E-20: Curriculum Learning for Low-Dose CT Image Reconstruction

Ricardo Ornelas, Roummel Marcia, University of California, Merced
Poster Board: E-21

Tu.P3.E-21: A FINE-TUNING METHOD BASED ON CROSS-PATIENT SIMILARITY

Xuyang Zhao, RIKEN Center for Interdisciplinary Theoretical and Mathematical Sciences; Toshihisa Tanaka, Tokyo University of Agriculture and Technology
Poster Board: E-22

Tu.P3.E-22: Prototypical Contrastive Learning based Dual-color Magnetic Particle Imaging Guided by Nonlinear Harmonic Priors

Guanghui Li, Xueying Liu, Haicheng Du, Siyao Wang, Jie Tian, Yu An, Beihang University
Poster Board: E-23

Tu.P3.E-23: Enhancing Pathology Image Captions via Contrastive and Generative Learning for Multimodal Classification

Jiayi Wu, Jingmin Xin, National Key Laboratory of Human-Machine Hybrid Augmented Intelligence and Institute of Artificial Intelligence and Robotics
Poster Board: E-24

Tu.P3.E-24: BIDRIECTIONAL LSTM DENOISING FOR NYSTAGMUS FROM SMARTPHONE VIDEOS WITH OPENFACE EYE TRACKING

Benjamin Duvieusart, Diego Kaski, Terence S. Leung, University College London