WP2.PA.11
AN AUTOMATIC COLORECTAL POLYPS DETECTION APPROACH FOR CT COLONOGRAPHY
Mohamed Yousuf, Islam Alkabbany, Asem Ali, University of Louisville, United States of America; Salwa Elshazley, Kentucky Imaging Technologies, United States of America; Albert Seow, Gerald Dryden, Aly Farag, University of Louisville, United States of America
Session:
WP2.PA: Machine Learning for Medical Image Analysis Poster
Track:
Biomedical Signal Processing
Location:
Poster Area A
Presentation Time:
Wed, 11 Oct, 16:30 - 18:00 Malaysia Time (UTC +8)
Session Chair:
Yongyi Yang, Illinois Institute of Technology
Session WP2.PA
WP2.PA.1: ADFA: Attention-augmented Differentiable top-k Feature Adaptation for unsupervised medical anomaly detection
Yiming Huang, Guole Liu, Yaoru Luo, Ge Yang, Institute of Automation, Chinese Academy of Sciences, China
WP2.PA.2: DYNAMIC DUAL-GRAPH FUSION CONVOLUTIONAL NETWORK FOR ALZHEIMER'S DISEASE DIAGNOSIS
Fanshi Li, Zhihui Wang, Yifan Guo, Congcong Liu, Yanjie Zhu, Yihang Zhou, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China; Jun Li, Second People's Hospital of Shenzhen, China; Liang Dong, Haifeng Wang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China
WP2.PA.3: FGCVQA: FINE-GRAINED CROSS-ATTENTION FOR MEDICAL VQA
Ziheng Wu, Xinyao Shu, Nanjing University of Information Science and Technology, China; Shiyang Yan, Inria, China; Zhenyu Lu, Nanjing University of Information Science and Technology, China
WP2.PA.4: MODALITY-AWARE OOD SUPPRESSION USING FEATURE DISCREPANCY FOR MULTI-MODAL EMOTION RECOGNITION
Dohee Kang, Somang Kang, Daeha Kim, Byung Cheol Song, Inha University, Korea, Republic of
WP2.PA.5: UNSUPERVISED ANOMALY DETECTION WITH LOCAL-SENSITIVE VQVAE AND GLOBAL-SENSITIVE TRANSFORMERS
Mingqing Wang, Jiawei Li, Zhenyang Li, Chengxiao Luo, Tsinghua Shenzhen International Graduate School, Tsinghua University, China; Bin Chen, Harbin Institute of Technology, China; Shu-Tao Xia, Zhi Wang, Tsinghua Shenzhen International Graduate School, Tsinghua University, China
WP2.PA.6: EXPLORING ANATOMICAL SIMILARITY IN CARDIAC-GATED SPECT IMAGES FOR MOTION COMPENSATION WITH A DEEP LEARNING NETWORK
Xirang Zhang, Yongyi Yang, Illinois Institute of Technology, United States of America; P. Hendrik Pretorius, Michael King, University of Massachusetts Medical School, United States of America
WP2.PA.7: EXPLORING SELF-SUPERVISED REPRESENTATION LEARNING FOR LOW-RESOURCE MEDICAL IMAGE ANALYSIS
Soumitri Chattopadhyay, Soham Ganguly, Sreejit Chaudhury, Jadavpur University, India; Sayan Nag, University of Toronto, Canada; Samiran Chattopadhyay, Jadavpur University, India
WP2.PA.8: STRENGTHENING DEEP LEARNING MODEL FOR ROBUST SCREENING OF VOLUMETRIC CHEST RADIOGRAPHIC SCANS
Muhammad Owais, Khalifa University, United Arab Emirates; Taimur Hassan, Abu Dhabi University, United Arab Emirates; Neha Gour, Iyyakutti Iyappan Ganapathi, Naoufel Werghi, Khalifa University, United Arab Emirates
WP2.PA.9: FEDMBP: MULTI-BRANCH PROTOTYPE FEDERATED LEARNING ON HETEROGENEOUS DATA
Tianrun Gao, Beijing University of Posts and Telecommunications, China; Xiaohong Liu, University College London, China; Yuning Yang, Guangyu Wang, Beijing University of Posts and Telecommunications, China
WP2.PA.10: ACCURATE REGISTRATION BETWEEN ULTRA-WIDE-FIELD AND NARROW ANGLE RETINA IMAGES WITH 3D EYEBALL SHAPE OPTIMIZATION
Junkang Zhang, Bo Wen, Fritz Kalaw, Melina Cavichini, Dirk-Uwe Bartsch, William Freeman, Truong Nguyen, Cheolhong An, University of California, San Diego, United States of America
WP2.PA.11: AN AUTOMATIC COLORECTAL POLYPS DETECTION APPROACH FOR CT COLONOGRAPHY
Mohamed Yousuf, Islam Alkabbany, Asem Ali, University of Louisville, United States of America; Salwa Elshazley, Kentucky Imaging Technologies, United States of America; Albert Seow, Gerald Dryden, Aly Farag, University of Louisville, United States of America
Contacts