MLMECH-MICCAI 2019:
Evening, October 13, 2019
Venue: main conference venue, InterContinental Shenzhen, Shenzhen, China
Address: No. 9009 Shennan Road, Overseas Chinese Town : Shenzhen , 518053, China

According to the latest statistics of World Health Organization, cardiovascular disease remains the leading cause of death globally. During the last decade, its mortality rate is still the highest among all diseases (like tumors). With the fast development of machine learning (AI) techniques and vast amount of medical data, physicians and machine learning scientists can work together to enable AI capability in the diagnosis and treatment of cardiovascular diseases. This workshop will bring together physicians, technicians and machine learning scientists to discuss the latest progressions.

News & Event

Website Live

15 May

Website Live!

Call For Papers

All accepted papers will be included as a joint proceeding with MICCAI 2019. The Call for Paper brochure can be downloaded here.

Authors are invited to submit full-length high-quality papers (up to 8-pages). Papers covering theory and/or application areas of machine learning and medical engineering for cardiovascular health are invited for submission. Submitted papers will be refereed on their originality, presentation, empirical results, and quality of evaluation.

Submissions consists of following aspects but not limited to:

Datasets for medical data, including Electrocardiogram, Echocardiograms, Heart sounds, Cardiac magnetic resonance imaging, Retinal fundus photographs, and etc.
Machine learning, deep learning for medical data
New information infrastructure and system for Big Data of cardiovascular diseases
New tools to label, process, and analyze the medical data

The workshop submission deadline will be 23:59, Beijing Time, 15 July, 2019. There will be no extension. Papers are submitted electronically (LNCS style, double blind review) to the EasyChair system. Please refer to the Author Guidelines for instructions on paper formats. Registration: Please refer to the MICCAI 2019 website.

Dates

15 July

Deadline for workshop papers submission

5 August

Notification of Acceptance

15 August

Camera-ready copy deadline

Organizers

Guijin Wang	Tsinghua University, China
Feng Zhang	Chinese Academy of Sciences, China
Yongpan Liu	Tsinghua University, China
Jinghao Xue	University College London, UK
Zijian Ding	Tsinghua University, China
Chengquan Li	Tsinghua University, China
Ping Zhang	Beijing Tsinghua Changgung Hospital, China
Haiyi Liu	Beijing Tsinghua Changgung Hospital, China
Dapeng Fu	Beijing Zhongguancun Hospital, China
Yuan He	Beijing Tongren Hospital, CMU, China
Fang Luo	Fuwai Hospital & National Center for Cardiovascular Diseases, China

Program

O-MLMECH-1	Diagnosing Cardiac Abnormalities from 12-Lead Electrocardiograms Using Enhanced Deep Convolutional Neural Networks Binhang Yuan, Wenhui Xing
O-MLMECH-2	An Ensemble Neural Network for Multi-label Classification of Electrocardiogram Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu, Jiansheng Fang
O-MLMECH-3	Multi-label classification of abnormalities in 12-lead ECG using 1D CNN and LSTM Chengsi Luo, Hongxiu Jiang, Quanchi Li and Nini Rao
Poster Session	30min (Wth Coffee Break)
O-MLMECH-4	Particle Swarm Optimization for Great Enhancement in Semi-Supervised Retinal Vessel Segmentation with Generative Adversarial Networks Qiang Huo, Geyu Tang, and Feng Zhang
O-MLMECH-5	Deep Learning to Improve Heart Disease Risk Prediction Shelda Sajeev, Anthony Maeder, Stephanie Champion, Alline Beleigoli, Cheng Ton, Xianglong Kong, and Minglei Shu
O-MLMECH-6	Attention-Guided Decoder in Dilated Residual Network for Accurate Aortic Valve Segmentation in 3D CT Scans Bowen Fan, Naoki Tomii, Hiroyuki Tsukihara, Eriko Maeda, Haruo Yamauchi, Kan Nawata, Asuka Hatano, Shu Takagi, Ichiro Sakuma and Minoru Ono

Speakers

Yiyu Shi

University of Notre Dame

Dr. Yiyu Shi is currently an associate professor in the Department of Computer Science at the University of Notre Dame, and the director of Sustainable Computing Lab (SCL).

Guoxing Wang

Shang Hai Jiao Tong University

Guoxing Wang (Shang Hai Jiao Tong University) Confirmed Dr. Guoxing Wang is currently an associate professor in the School of Microelectronics at Shanghai Jiao Tong University.

Fang Luo

Fuwai Hospital

Dr. Fang Luo is currently deputy chief physician of the Department of Endocrinology and Cardiovascular Metabolism, Fuwai Hospital of Chinese Academy of Medical Sciences.

Others to be determined…

Sponsers

DLAB

Tsinghua University

Connect:

Dr. Zijian Ding dingzj@mail.tsinghua.edu.cn