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Sensors Webinar | Explainable AI in Medical Sensors

6 Dec 2022, 14:00 (CET)

Machine Learning, Deep Learning, Medical Sensor, Explainable Artificial Intelligence, Medical Image Analysis, Graph Neural Network, Big Data, Imaging Sensors
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Welcome from the Chair

8th Sensors Webinar

Explainable AI in Medical Sensors

Many biomedical sensors exist, such as ultrasound, chemical analysis, biomaterial, fluid flow, MRI, etc., in current medical research. These medical sensors are being developed with the help of advanced signal-processing techniques. Meanwhile, artificial intelligence (AI) has gained recognition for its success in processing sensor data. Most AI models present impressively predictive accuracies but are recognized as “black boxes”.

This webinar aims to provide diverse but complementary contributions to demonstrate the new developments and applications for explainable AI processing medical sensor data. Utilizing a combination of two invited presentations and facilitated group discussions, participants of this webinar will meet a wide range of novel explainable-AI techniques and the emerging applications and improvements of such techniques.

Date: 6 December 2022

Time: 2:00 pm CET | 8:00 am EST | 9:00 pm CST Asia

Webinar ID: 853 4882 6296

Webinar Secretariat: sensors.webinar@mdpi.com

Chair

School of Computing and Mathematical Sciences, University of Leicester, UK

DETAILS
Bio
Yudong Zhang worked as a postdoc from 2010 to 2012 with Columbia University, USA, and as an Assistant Research Scientist from 2012 to 2013 with the Research Foundation of Mental Hygiene (RFMH), USA. He served as a Full Professor from 2013 to 2017 with Nanjing Normal University. Now he serves as a professor at the School of Computing and Mathematical Sciences, University of Leicester, UK. His research interests include deep learning and medical image analysis

Invited Speakers

College of Electronic and Information Engineering, Hebei University, China,
Machine Vision Technology Innovation Center of Hebei Province, China

DETAILS
Bio
Shuaiqi Liu received his Ph.D. degree in Institute of Information Science from Beijing Jiaotong University at 2014 and got B.S. degree from Shandong University of Science and Technology at 2009. At present, he is associate professor in college of Electronic and Information Engineering, Hebei University. And he is also now conducting postdoctoral research in National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences. His research interests include image processing and signal processing.

Webinar Content

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Program

Speaker/Presentation

Time in CET

Chair Professor Yudong Zhang

Chair Introduction

2:00 - 2:10 pm

Dr. Shuaiqi Liu

Intelligent Analysis of Remote Sensing Images

2:10 - 2:30 pm

Professor Yudong Zhang

CT-Based Artificial Intelligence for COVID-19 Diagnosis

2:30 - 2:50 pm

Q&A

2:50 - 3:10 pm

Closing of Webinar

Professor Yudong Zhang

3:10 - 3:15 pm

Relevant SI

Explainable AI in Medical Sensors
Guest Editors: Dr. Yu-Dong Zhang, Prof. Dr. Juan Manuel Gorriz & Prof. Dr. Yuankai Huo
Deadline for manuscript submissions: 28 February 2023

Sponsors and Partners

Organizers

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