MP2.PB: Medical Image Analysis - VI
Mon, 28 Oct, 16:30 - 18:00 Gulf Standard Time (UTC +4)
Location: Poster Area B
Session Type: Poster
Session Co-Chairs: Naoufel Werghi, Khalifa University and Sang-Chul Lee, Inha University
Track: Biomedical Image Processing
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MP2.PB.1: PWISeg: Weakly-supervised Surgical Instrument Instance Segmentation
Zhen Sun, Huan Xu, Jinlin Wu, Zhen Chen, Hongbin Liu, Zhen Lei, Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences, Hong Kong SAR, China, Hong Kong

MP2.PB.2: A NOVEL APPROACH FOR 3D RENAL SEGMENTATION USING A MODIFIED GAN MODEL AND TEXTURE ANALYSIS
Israa Sharaby, Ahmed Alksas, Hossam Magdy Balaha, Ali Mahmoud, University of Louisville, United States of America; Mohammed Badawy, Mohamed Abou El-Ghar, Mansoura University, Egypt; Ashraf Khalil, Zayed University, United Arab Emirates; Mohammed Ghazal, Abu Dhabi University, United Arab Emirates; Sohail Contractor, Ayman El-Baz, University of Louisville, United States of America

MP2.PB.3: NYCTALE: Neuro-Evidence Transformer for Adaptive and Personalized Lung Nodule Invasiveness Prediction
Sadaf Khademi, Concordia University, Canada; Anastasia Oikonomou, Sunnybrook Health Sciences Centre, Canada; Konstantinos Plataniotis, University of Toronto, Canada; Arash Mohammadi, Concordia University, Canada

MP2.PB.4: Reducing motion artifacts in brain MRI using vision transformers and self-supervised learning
Lei Zhang, Xiaoke Wang, Edward H. Herskovits, Elias R. Melhem, Linda Chang, Ze Wang, Thomas Ernst, University of Maryland School of Medicine, United States of America

MP2.PB.5: BuRnSNet: BURN REGION SEGMENTATION NETWORK FROM COLOR IMAGES WITH TWO-WAY CNN
Joohi Chauhan, Motilal Nehru National Institute of Technology Allahabad, India; Paul L. Rosin, Cardiff University, United Kingdom of Great Britain and Northern Ireland; Puneet Goyal, Indian Institute of Technology Ropar and NIET, NIMS University, India

MP2.PB.6: Sino-CT-Fusion-Net: A Lightweight Deep Learning Framework for Detection and Classification of Intracranial Hemorrhages
Chitimireddy Sindhura, Indian Institute of Technology Tirupati, India; Phaneendra Yalavarthy, Indian Institute of Science Bengaluru, India; Subrahmanyam Gorthi, Indian Institute of Technology Tirupati, India

MP2.PB.7: ReSet: A Residual Set-Transformer approach to tackle the ugly-duckling sign in melanoma detection
Jules Collenne, Rabah Iguernaissi, Séverine Dubuisson, Djamal Merad, Aix Marseille Université, CNRS, LIS, France

MP2.PB.8: ONE-HOT LOGISTIC REGRESSION FOR RADIOMICS-BASED CLASSIFICATION
Baptiste Schall, University Côte d’Azur, France; Rodolphe Anty, Nice University Hospital, France; Lionel Fillatre, University Côte d’Azur, France

MP2.PB.9: ATTENTION-BASED FEW-SHOT DIAGNOSIS OF CHEST X-RAYS USING SEMANTIC SIGNATURES
Devi Prasad Maharathy, Prabhala Sandhya Gayatri, Angshuman Paul, Indian Institute of Technology Jodhpur, India

MP2.PB.10: Recurrent 3-D Multi-level Visual Transformer for Joint Classification of Heterogeneous 2-D and 3-D Radiographic Data
Muhammad Owais, Khalifa University, United Arab Emirates; Muhammad Zubair, University of Central Punjab, Pakistan; Taimur Hassan, Abu Dhabi University, United Arab Emirates; Divya Velayudhan, Irfan Hussain, Naoufel Werghi, Khalifa University, United Arab Emirates

MP2.PB.11: Accurate colon segmentation using 2D convolutional neural networks with 3D contextual information
Samir Harb, Ahmed Elsayed, Mohamed Yousuf, Alkabbany Islam, Asem Ali, University of Louisville, United States of America; Salwa Elshazley, KIT, United States of America; Aly Farag, University of Louisville, United States of America

MP2.PB.12: VIZECGNET: VISUAL ECG IMAGE NETWORK FOR CARDIOVASCULAR DISEASES CLASSIFICATION WITH MULTI-MODAL TRAINING AND KNOWLEDGE DISTILLATION
Ju-Hyeon Nam, Seo-Hyung Park, Su Jung Kim, Sang-Chul Lee, Inha University, Korea, Republic of