Date of Conference: 2021 August 25-27
(Last date of Paper Submission – 21 January 2021)
visit: http://ietcint.com
(Technically Co-Sponsored by IEEE Computational Intelligence Society)
General Chairs :
Atul Negi, University of Hyderabad, India
Naresh Mallenahalli, NRSC-ISRO Hyderabad, India
Akira Hirose, Univ. of Tokyo, Japan
(i) Deep Learning
(ii) Sequence Modelling and
(iii) General Topics in Computational Intelligence
Medi-Caps University (India)
Call for Papers
Half-Day session on Blockchain Technology, Its Technical Challenges and Role of Formal Methods
Half-Day session on AI in Healthcare: Emerging Trends, Use Cases and Future Directions
More information on the approved tutorials may be found at http://ietcint.com/user/tutorials
Paper Submission Deadline: Jan 21, 2021
Paper Acceptance Notification: April 30, 2021
Submission of Final paper: May 31, 2021
Early Registration Deadline: May 31, 2021
Conference dates: Aug 25-27, 2021
Yaminidhar Reddy Bhavanam
Finance and Publicity Committee Chair- ICETCI 2021,
Email: ietcint@hotmail.com
Medical Image Analysis special issue on Image Analysis in Dermatology: Submit by March 1
January 11th, 2021 
Daniela Lopez de Luise Medical Image Analysis (MIA) is seeking original and unpublished manuscripts for a special issue on Image Analysis in Dermatology:
Medical image analysis has a long and distinguished history spanning nearly six decades. As a matter of fact, the evolution of the general field of image analysis largely parallels that of medical image analysis as some of the earliest image analysis techniques were developed in the context of medical applications. Image analysis in general, and medical image analysis in particular, have historically focused on single-channel (monochromatic) images. A notable exception is dermatology, a subfield of medicine where images are typically acquired in color. While color provides enhanced visualization of surface and subsurface structures of the skin, it also presents new challenges for researchers and practitioners as the numerous methods developed for single-channel images are generally inapplicable to multichannel images. In addition, there are remarkable visual similarities among skin diseases, and compared to other medical imaging domains, varying genetics, disease states, imaging equipment, and imaging conditions can significantly alter the appearance of the skin, making automated analysis in this domain highly challenging. This MIA special issue aims to collect state-of-the-art research findings in the field of dermatological image analysis. We are interested in contributions involving a wide a variety of modalities including, but not limited to, clinical photography, dermoscopy, total-body photography, ultrasonography, computed tomography, positron emission tomography, optical coherence tomography, confocal microscopy, infrared imaging, thermal imaging, multispectral imaging, and hyperspectral imaging.
This special issue aims to cover all aspects of dermatological image analysis. Topics of interest include, but are not limited to:
+ Enhancement
+ Registration
+ Segmentation
+ Feature Extraction
+ Content-Based Retrieval
+ Synthetic Image Generation
+ Classification
+ Visualization
Paper Submission
IEEE CIS Webinar – Convolutional Networks for Medical Image Analysis: Its Past, Future, and Issues
January 11th, 2021 Daniela Lopez de Luise ;text-indent:0px;text-transform:none;white-space:normal;word-spacing:0px;background-color:#ffffff;text-decoration-style:initial;text-decoration-color:initial”>Biography:
Pau-Choo (Julia) Chung (S’89-M’91-SM’02-F’08) received a Ph.D. degree in electrical engineering from Texas Tech University, USA, in 1991. She then joined the Department of Electrical Engineering, National Cheng Kung University (NCKU), Taiwan, in 1991 and became a full professor in 1996. She served as the Head of Department of Electrical Engineering (2011-2014), the Director of Institute of Computer and Communication Engineering (2008-2011), the Vice Dean of College of Electrical Engineering and Computer Science (2011), the Director of the Center for Research of E-life Digital Technology (2005- 2008), and the Director of Electrical Laboratory (2005-2008), NCKU. She was elected Distinguished Professor of NCKU in 2005 and received the Distinguished Professor Award of Chinese Institute of Electrical Engineering in 2012. She also served as Program Director of the Intelligent Computing Division, Ministry of Science and Technology (2012-2014), Taiwan. She served as the Director of the Department of Information and Technology Education, Ministry of Education.
Dr. Chung’s research interests include computational intelligence, medical image analysis, video analysis, and pattern recognition. She applies most of her research results to healthcare and medical applications. Dr. Chung participated in many international conferences and Society activities. She served as the program committee member in many international conferences. She served as the Publicity Co-Chair of WCCI 2014, SSCI 2013, SSCI 2011, and WCCI 2010. She served as an Associate Editor of IEEE Transactions on Neural Network and Learning Systems (2013-2015) and IEEE Transactions on Biomedical Circuits and Systems.
Dr. Chung was the Chair of IEEE Computational Intelligence Society (CIS) (2004-2005) in Tainan Chapter, the Chair of the IEEE Life Science Systems and Applications Technical Committee (2008-2009). She was a member in BoG of CAS Society (2007-2009, 2010-2012). She served as an IEEE CAS Society Distinguished Lecturer (2005-2007) and the Chair of CIS Distinguished Lecturer Program (2012-2013). She served on two terms of ADCOM member of IEEE CIS (2009-2011, 2012-2014), the Chair of IEEE CIS Women in Engineering (2014). She is a member of Phi Tau Phi honor society and is an IEEE Fellow since 2008. She also served as the Vice President for Members Activities of IEEE CIS (2015-2018).
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Live e-lecture by Prof. Tinne Tuytelaars: ‘Keep on learning without forgetting’, 26th January 2021 17:00-18:00 CET. Start of AIDA AI excellence lecture series
January 11th, 2021 Daniela Lopez de Luise Prof. Tinne Tuytelaars (KU Leuven, Belgium), a prominent AI researcher internationally, will deliver the e-lecture:
‘Keep on learning without forgetting’, on Tuesday 26th January 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),
see details in: http://www.i-aida.org/ai-lectures/
You can join for free using the zoom link: https://authgr.zoom.us/j/96526281132?pwd=azBsNDUxb2JGVGlUOEpYcFZ6SXhLZz09
The International AI Doctoral Academy (AIDA), an joint initiative of the European R&D projects AI4Media and Vision currently in the process of formation,
is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture.
Lectures will be offered alternatingly by:
Top highly-cited senior AI scientists internationally or
Junior AI scientists with promise of excellence (AI sprint lectures)
Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free.
These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).
If you want to stay informed on future lectures, you can register in the CVML email list.
Best regards
Prof. I. Pitas
Artificial Intelligence and Information Analysis (AIIA) lab, AUTH and AI4Media
Call for Participation: 3rd AccML Workshop at HiPEAC 2021 (Online Event, January 18)
January 11th, 2021 Daniela Lopez de Luise