MA2.PC.8
DEEP CONVOLUTIONAL NEURAL NETWORK PREDICTION FOR GLAUCOMA DETECTION USING OCT AND OCT-ANGIOGRAPHY DISC- AND MACULA-CENTERED IMAGES AND THEIR COMBINED POWER
François Gouverneur, Université Catholique de Louvain-la-Neuve, Belgium; Sayeh Pourjavan, Cliniques Universitaires Saint-Luc, Belgium; Benoit Macq, Université Catholique de Louvain-la-Neuve, Belgium
Session:
MA2.PC: Computational Image Analysis Poster
Track:
Electronic Imaging
Location:
ICC Hall 3/4: Poster Area C
Presentation Time:
Mon, 28 Oct, 10:30 - 12:00 Gulf Standard Time (UTC +4)
Session Chair:
Benoit Macq, Université Catholique de Louvain-la-Neuve
Session MA2.PC
MA2.PC.1: CROSS-MODAL ALIGNMENT OF LOCAL AND GLOBAL FEATURES FOR ZERO-SHOT CHINESE CHARACTER RECOGNITION
Hongyi Cai, Anna Zhu, Wuhan University of Technology, China
MA2.PC.2: LRDif: Diffusion Models for Under-Display Camera Emotion Recognition
Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana, Australian National University, Australia
MA2.PC.3: HDPLIFTER: HIERARCHICAL DYNAMICS PERCEPTION FOR 2D-TO-3D HUMAN POSE LIFTING
Ye Lu, Jianjun Gao, Chen Cai, Ruoyu Wang, Duc Tri Phan, Kim-Hui Yap, Nanyang Technological University, Singapore
MA2.PC.4: TCA-NET: TRIPLET CONCATENATED-ATTENTIONAL NETWORK FOR MULTIMODAL ENGAGEMENT ESTIMATION
Hongyuan He, Daming Wang, Australian National University, Australia; Md Rakibul Hasan, Tom Gedeon, Md Zakir Hossain, Curtin University, Australia
MA2.PC.5: ESTIMATING INDOOR SCENE DEPTH MAPS FROM ULTRASONIC ECHOES
Junpei Honma, Tokyo Univercity of Science, Japan; Akisato Kimura, NTT Corporation, Japan; Go Irie, Tokyo Univercity of Science, Japan
MA2.PC.6: A HARD CONVEX-SHAPE CONSTRAINT IN DNNS FOR OBJECT SEGMENTATION
Jimut Pal, Suyash Awate, Indian Institute of Technology (IIT) Bombay., India
MA2.PC.7: SOVASEG-NET: SCALE INVARIANT OVARIAN TUMORS SEGMENTATION FROM ULTRASOUND IMAGES
Huu-Phong Luong, Hoang-Son Bui, Nam-Khanh Nguyen, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Viet Nam; Thi-Loan Pham, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST); Hai-Duong University, Viet Nam; Gia-Minh Pham, Sy-Hoang Tran, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST), Viet Nam; Thanh-Hai Tran, Thi-Lan Le, School of Electrical and Electronic Engineering (SEEE), Hanoi University of Science and Technology (HUST); SigM lab, Hanoi University of Science and Technology, Viet Nam
MA2.PC.8: DEEP CONVOLUTIONAL NEURAL NETWORK PREDICTION FOR GLAUCOMA DETECTION USING OCT AND OCT-ANGIOGRAPHY DISC- AND MACULA-CENTERED IMAGES AND THEIR COMBINED POWER
François Gouverneur, Université Catholique de Louvain-la-Neuve, Belgium; Sayeh Pourjavan, Cliniques Universitaires Saint-Luc, Belgium; Benoit Macq, Université Catholique de Louvain-la-Neuve, Belgium
MA2.PC.9: BLEND & PREDICT: DOMAIN-ADAPTABLE FEW-SHOT LEARNING FOR MICROSCOPY IMAGING
Ayush Somani, UiT The Arctic University of Norway, Norway; Anshul Gupta, Indian Institute of Technology (Indian School of Mines) Dhanbad, India; Arif Ahmed Sekh, XIM University, India; Krishna Agarwal, Dilip K. Prasad, UiT The Arctic University of Norway, Norway
MA2.PC.10: Quadruple-Consistency Vision Transformer for Medical Image Segmentation with Limited Number of Sparse Annotations
Yufan Liu, University of California, Berkeley, United States of America; Ziyang Wang, Oxford University, United Kingdom of Great Britain and Northern Ireland; Tianxiang Chen, University of Science and Technology of China, China; Zi Ye, Institute of Intelligent Software, China
MA2.PC.11: METAHEURISTIC CAMERA CALIBRATION FOR OPTICAL TOMOGRAPHIC IMAGING IN INDUSTRIAL ENVIRONMENTS
Andreas Unterberger, Cheau Tyan Foo, Zachary Adrian Emuang, Fabio J. W. A. Martins, Khadijeh Mohri, Tomography, Institute for Energy and Materials Processes, University of Duisburg-Essen, Germany, Germany
Contacts