MA1.L6: Biological Image Analysis
Mon, 28 Oct, 08:30 - 10:00 Gulf Standard Time (UTC +4)
Location: Capital Suite - 18
Session Type: Lecture
Session Chair: Angshul Majumdar, Indraprastha Institute of Information Technology
Track: Biomedical Image Processing
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Mon, 28 Oct, 08:30 - 08:48 Gulf Standard Time (UTC +4)
 

MA1.L6.1: Detecting Biomedical Copy-Move Forgery by Attention-based Multiscale Deep Descriptors
Hao-Chiang Shao, National Chung Hsing University, Taiwan; Tse-Yu Tseng, iGroup (Asia Pacific) Ltd., Taiwan, Taiwan; Yuan-Rong Liao, Fu Jen Catholic University, Taiwan; Chi-Chun Chen, UC Davis, United States of America; Chung-Yang Hung, Ming-Hsin Liang, iGroup (Asia Pacific) Ltd., Taiwan, Taiwan
Mon, 28 Oct, 08:48 - 09:06 Gulf Standard Time (UTC +4)
 

MA1.L6.2: DIRECTIONAL AND TOPOLOGICAL TRANSFORMER WITH TOPOLOGY PRIORS FOR 4D CELLULAR IMAGE SEGMENTATION
ZELIN LI, ZHAOKE HUANG, City University of Hong Kong, Hong Kong; ZHEN ZHU, SICHENG YOU, Centre for Intelligent Multidimensional Data Analysis, Hong Kong; ZHONGYING ZHAO, Hong Kong Baptist University, Hong Kong; HONG YAN, City University of Hong Kong, Hong Kong
Mon, 28 Oct, 09:06 - 09:24 Gulf Standard Time (UTC +4)
 

MA1.L6.3: DELVING INTO THE EXPLAINABILITY OF PROTOTYPE-BASED CNN FOR BIOLOGICAL CELL ANALYSIS
Martin Blanchard, Olivier Delézay, Christophe Ducottet, Damien Muselet, Université Jean Monnet, France
Mon, 28 Oct, 09:24 - 09:42 Gulf Standard Time (UTC +4)
 

MA1.L6.4: CELL CYCLE STATE PREDICTION USING GRAPH NEURAL NETWORKS
Sayan Acharya, Aditya Ganguly, Ram Sarkar, Jadavpur University, India; Abin Jose, RWTH Aachen University, Germany
Mon, 28 Oct, 09:42 - 10:00 Gulf Standard Time (UTC +4)
 

MA1.L6.5: Deep Learning-Based Leaf Image Analysis for Tomato Plant Disease Detection and Classification
Ammar Chouchane, University Center of Barika, Algeria; Abdelmalik Ouamane, University of Biskra, Algeria; El Ouanas Belabbaci, University of Bejaia, Algeria; Yassine Himeur, University of Dubai, United Arab Emirates; Abbes Amira, University of Sharjah, United Arab Emirates