EI 2021 Short Courses Dive into Practical and Theoretical Imaging Tech, Register Today!

January 11th, 2021 Daniela Lopez de Luise

The Electronic Imaging Symposium (EI 2021) Short Course Program starts Monday, 11 January. Be sure to secure your seat for this LIVE program with 20 courses covering emerging technology in Camera Image Quality, Image Processing, Deep Learning, and Computer Vision. Instructors are academic and industry experts, and courses include Q&A and real-time discussion. For those unable to attend the live sessions, recordings are available for viewing until 30 April 2021.
Take advantage of course discounts…the more you take, the more you save!  https://bit.ly/EI2021_ShortCourses

***Partial list of courses***

IMAGE PROCESSING

SC03: 3D Point Cloud Processing
SC04: Advanced Image Enhancement and Deblurring
SC05: Introduction to Event Detection Camera
SC08: High-Dynamic-Range (HDR) Theory and Technology

CAMERA IMAGE QUALITY

SC09: 3D Imaging Systems Hardware and Its Calibration
SC10: Imaging Quality: Industry Standards for Mobile, Automotive, and Machine Vision Applications
SC12: Resolution in Mobile Imaging Devices: Concepts and Measurement
SC13: Camera Image Quality Benchmarking

DEEP LEARNING & COMPUTER VISION

SC20: Fundamentals of Deep Learning
SC21: Percept

Ph.D. Daniela López De Luise
CI2S lab director
IDTI lab director
Argentina Scientific Society – DCI
National Academy of Sciences Bs.As.- CETI

IEEE CIS Argentina Secretary/Threasurer
IEEE CIS-Games Technical Committee  
IEEE CIS-WCI Committee

https://www.ci2s.com.ar
https://ci2s-enterprise.com.ar
https://www.titanium-brain.com.ar

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Call for papers — 2021 IEEE International Conference on Emerging Techniques in Computational Intelligence – Aug, 25-27

January 11th, 2021 Daniela Lopez de Luise
On behalf of the technical committee of the 2021 IEEE International Conference on Emerging Techniques in Computational Intelligence (ICETCI) we would like to wish you and your loved ones Happy New-Year, we invite you to submit your paper to the world’s premier conference on Computational Intelligence and related topics.

2021 First International Conference on   Emerging Techniques in Computational Intelligence (ICETCI) – #51973, Mahindra University, Hyderabad, India
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

The First International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021, technically co- sponsored by the IEEE Computational Intelligence Society, will be held at Hyderabad, India on Aug 25-27, 2021. This aims to highlight the evolution of topics, frontline research and multiple applications, in the domain of Computational Intelligence, from the mainstream foundations to novel investigations. The conference comprises one day of tutorial sessions followed by two days of Keynote Lectures by invited international experts from Industry and Academia, paper presentations and competitions. Also, the conference hosts several special sessions on emerging techniques and applications in computational intelligence. The Conference is supported by industry relevant tutorials conducted by NVidia, Tech Mahindra and others. More information on the Conference may be found at http://ietcint.com/user/home
ICETCI 2021 invites you to submit your original, previously unpublished innovative work in any area of Computational Intelligence, both emerging topics which form the theme of the conference as well as more foundational areas. The three main tracks of the Conference are:

(i) Deep Learning

(ii) Sequence Modelling and

(iii) General Topics in Computational Intelligence

The List of Topics include but are not limited to: http://ietcint.com/user/tracks.
There are also Special Sessions on specific topics such as
(i) “Computational Intelligence for Enhanced Agent-Based Models” http://ietcint.com/user/special_sessions1, Session Chair: Sabrina Senatore, University of Salerno (Italy)

(ii) “Artificial Neural Networks for Computer and Robot Vision”  http://ietcint.com/user/special_sessions2, Session Chair:  Alexandros Iosifidis, Aarhus University (Aarhus, Denmark)

(iii) “Hybrid Machine Learning Algorithms and Applications” http://ietcint.com/user/special_sessions3, Session Chair(s): Om Prakash Patel, Mahindra University (India), Neha Bharill, Mahindra University (India), K.V. Sambasiva Rao, NRI Institute of Technology (India), Dheeraj Rane,
Medi-Caps University (India)


(iv) “Web and Social Media” http://ietcint.com/user/special_sessions4, Session Chair: Anup Aprem,  National Institute of Technology Calicut (India)

(v) “Computational Intelligence in Remote Sensing Data Analysis” http://ietcint.com/user/special_sessions5, Session Chair(s) : Avik Bhattacharya,  Indian Institute of Technology Bombay(India),  Mihai Datcu, Telecommunications and Information Technology, UPB

All Accepted papers would be reviewed by at least three reviewers. Papers accepted must be registered and presented for inclusion in the proceedings. The presented papers shall be submitted for consideration and inclusion in the IEEE Xplore.
 
Call for Papers

Manuscripts for ICETCI 2021 should be submitted electronically through the conference website at: http://ietcint.com/user/instructions. Authors should submit manuscripts up to 6 A4-size pages in length, including figures, tables and references, and prepare the templates at https://www.ieee.org/conferences/publishing/templates.html. At most two extra pages can be included at $50.0 each.

Call for Special Session Papers

Potential authors may submit their manuscripts for presentation consideration through ICETCI 2021 submission system electronically at  https://cmswebonline.com/icetci2021, following the conference guidelines. To submit your paper to any of the special sessions, you have to choose the special session title on the submission page.
Approved Tutorials

Full-day Tutorial by NVidia on Artificial Intelligence and Data Science
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

Important Dates

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

 

RSVP

Yaminidhar Reddy Bhavanam
Finance and Publicity Committee Chair- ICETCI 2021,
Email: ietcint@hotmail.com

We look forward to welcome you at Hyderabad (India) next year!

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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

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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

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