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DMB 2021 - Denoising Methods for Bioimaging: Advances in Theory and Impleme...


Date
Jan 21, 2021 - 08:00 AM - Jan 22, 08:00 AM
Organizer
New York Media Technologies LLC in association with INSTICC
Location
Hotel Vila Galé Santa CruzRua São Fernando, 59100-173 Santa CruzPortugal,

Portugal,
Portugal,
US,
ZIP: Portugal
Phone:

Description

Denoising Methods for Bioimaging: Advances in Theory and Implementations - DMB 2021

19 - 21 January, 2021 - Funchal, Madeira, Portugal

Within the 5th International Conference on Bioimaging - BIOIMAGING 2021

 

CHAIR

Jan Schier 
The Institute of Information Theory and Automation of the Czech Academy of Sciences 
Czech Republic 

Brief Bio
Jan Schier obtained his MSc degree in electrical engineering in 1989 and Ph.D. in 1995 mathematical engineering, both from Czech Technical University. Since the beginning of his Ph.D. studies, he has been with the Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Prague. He has started his research career in the field of parallel implementations of the signal processing algorithms. 
Between 1995-2002 he has been on several long-term stays with the Faculty of Electrical Engineering at TU Delft, the Netherlands and with the SISTA group of the Department of Electrical Engineering, KU Leuven, Belgium, in both cases working in the field of applied signal processing. 
An informal cooperation with the Yeast Colony Group at the Faculty of Sciences, Charles University, which started round 2009, started his interest in image processing for microsocopy and bioimaging, which eventually led him to join the Image Processing group of UTIA in October 2011. The paper on Colony Counting Tool has been awarded the Best Paper Award at the BIOSTEC/BIOINFORMATICS conference in 2011. His current interests cover mainly image denoising and segmentation methods for bioimaging and microscopy imaging, as well as - on the practical side - Java programming for ImageJ. He is mainly involved in projects of applied research and implementation projects: recent examples include evaluation of Langerhans Islets (in close cooperation with Czech Technical University and Institute for Clinical and Experimental Medicine) and evaluation of breast ultrasound examinations (Technology Agency of the Czech Republic project TA04011392 "Early ultrasound detection of breast cancer"). 
Dr. Schier has served as the program co-chair for the BIOSTEC/BIOIMAGING conference in 2021 and 2021.

SCOPE

Denoising plays crucial role probably in all modalities of bioimaging: it is widely used in medical imaging modalities such as MRI, X-Ray, ultrasound, but in the same time, it is indispensable for advanced techniques of microscopy imaging. Compared with standard imaging conditions as encountered in technical applications, the bioimaging field comes with some unique challenges: often, we have to cope with non-Gaussian character of image noise. In order to preserve information on anatomical structures or cells contained in the image, preservation of object edges is of high importance. 

In the past years, number of advanced methods have emerged, often well suited to cope with these requirements, such as the mutiscale and wavelet methods and their novel modifications or various versions of non-local means methods to name but two major directions of algorithmic development. 

However, the improved performance often comes at computational costs and various approximative schemes or specialized parallel hardware have to be utilized in order to achieve acceptable computational performance. There are still many challenging tasks both in improving denoising performance and in getting proper balance between denoising performance and acceptable execution speed. 

With this Special Session, we would like to bring together both experts specialized rather in algorithmic development and those more interested in the implementation part of the story, also in embedded systems. We would like to contribute to discussion between both groups, since the complex view of algorithms in the context of underlying hardware is necessary. 


TOPICS 
The topics of this Special Session includes, but is not limited to: 

- advanced algorithms for bioimage denoising
- algorithms for reducing non-Gaussian or mixed noise
- algorithms for multidimensional images
- practical implementations, plugins for ImageJ, Fiji, Icy,...
- advanced denoising methods for microscopy
- fast implementations using GPU or special computational architectures
- new approaches to image denoising and restoration: deep learning and others

 

Important Dates

Conference

Regular Papers
Paper Submission: September 5, 2021 (extended) 
Authors Notification: October 16, 2021 
Camera Ready and Registration: October 30, 2021

Position Papers
Paper Submission: September 29, 2021 
Authors Notification: November 7, 2021 
Camera Ready and Registration: November 20, 2021

Workshops
Workshop Proposal: August 31, 2021

Doctoral Consortium
Paper Submission: November 9, 2021
Authors Notification: November 22, 2021
Camera Ready and Registration: December 5, 2021

Special Sessions
Special Session Proposal: August 31, 2021
Paper Submission: November 7, 2021
Authors Notification: November 21, 2021
Camera Ready and Registration: November 29, 2021

Tutorials
Tutorial Proposal: November 24, 2021

Demos
Demo Proposal: November 24, 2021

Panels
Panel Proposal: November 24, 2021

 

Keynote Lectures

Available Soon
Anatole Lécuyer, Inria Rennes/IRISA, Hybrid Research Team, France

Available Soon
Corina Sas, Lancaster University, United Kingdom

Available Soon
Dinesh Kumar, RMIT University, Australia

Available Soon
Maximiliano Romero, Università Iuav di Venezia, Italy

 

Keynote Lecture 
 


Anatole Lécuyer 
Inria Rennes/IRISA, Hybrid Research Team 
France 



 

Brief Bio 
Anatole Lécuyer is senior researcher and head of Hybrid team at Inria (Rennes, France), the French National Institute for Research in Computer Science and Control, that he joined in 2002. His main research interests are in the field of Virtual Reality, and more specifically on 3D User Interfaces, Haptic Feedback, 3D Visual Displays, and Brain-Computer Interfaces (BCI). He has been involved often as coordinator or principal investigator in various National or International research projects such as in OpenViBE software for Brain-Computer Interfaces, French ANR projects “OpenViBE1” (05-09) and “OpenViBE2” (09-12) on Brain-Computer Interfaces and Virtual reality, European Strep project “NIW” (08-11) on Augmented Walking, and the European Network of Excellence “INTUITION” (05-08) on Virtual Reality. He regularly serves as expert in Virtual Reality and BCI for public bodies such as European Commission (EC) or French National Research Agency (ANR). He is involved in program committees of major conferences of his field (IEEE VR, IEEE 3DUI, Eurohaptics, Eurographics, etc) and was notably program co-chair of IEEE VR 2021, and IEEE 3DUI 2013. He is an associate editor of Frontiers in Virtual Environments and Presence, and formerly of ACM Transactions on Applied Perception (ACM TAP) and International Journal of Human-Computer Studies (IJHCS).

 

Keynote Lecture 
 


Corina Sas 
Lancaster University 
United Kingdom 



 

Brief Bio 

Dr Sas builds on extensive expertise is Human Computer Interaction and user experience to design technologies for wellbeing and health, including those for self-monitoring, self-awareness and self-regulation. She has been Associate Chair for the top ACM Computer Human Interaction and Designing Interactive Systems conferences, Chair of British Human Computer Interaction conference, and served in Programme Committees in over 20 conferences. Her work has received extensive media covers including The Times, The New Scientist, Daily Mail, CBS, NBC, Medical Daily, Science Daily, News medical, and Health Medicine Network, as well as San Francisco radio, BBC 5 live radio, and BBC Hereford and Worcester radio. For her work on technologies for mindfulness she was mentioned in the TransTech200 (2021): an annual list of key innovators developing science-based research that significantly increases mental and emotional wellbeing. She has over 80 peer-reviewed publications, and has been an investigator on grants totalling over £10.5 million.

 

Keynote Lecture 
 


Dinesh Kumar 
RMIT University 
Australia 



 

Brief Bio 
Dinesh research interests are related to medical applications of signals and image processing and the use of machine learning to classify medical signals. He is a member of the expert panel for prosthetic hand control (EU supported committee) and member on Therapeutic Goods Administration the advisory panel to ministry of health for medical devices. Dinesh has also extensive experience in technology translation and been successful with two technology start-up ventures.

Dinesh has received over $4 million in research funds over the past 12 years in research funding. He has published over 400 papers and authored 3 books, and has been cited about 4400 times. He is Associate editor for IEEE Transactions for neural systems and rehabilitation engineering.


Abstract 
There has been significant progress in medical technology that provides early stage and detailed diagnosis of many diseases. This has enhanced the longevity and quality of life and we are now living longer and healthier, and significantly more independent. We are also able to perform relevant functional activities for significant period. However, many of these diagnostics can be performed only in major hospitals and require significant infrastructure such as qualified personnel, buildings, and electricity. This greatly limits the benefits of the technologies to be located in large urban centres.

Dinesh has been working towards changing the above paradigm and works for the development of diagnostic devices that are suitable for being used in remote regions by untrained healthcare personnel. Such devices provide automation of recording and analysis of the data, thereby do not require large buildings, and are suitable for the target audience. The success of such diagnostic devices is based on the development of advanced image and signal processing techniques that makes these devices noise tolerant and provide good quality diagnostics without high quality infrastructure.


 

Keynote Lecture 
 


Maximiliano Romero 
Università Iuav di Venezia 
Italy 



Please contact the event manager Marilyn below for the following: 
- Discounts for registering 5 or more participants.
- If you company requires a price quotation.
Event Manager Contact: marilyn.b.turner(at)nyeventslist.com
You can also contact us if you require a visa invitation letter, after ticket purchase. 
We can also provide a certificate of completion for this event if required.

NO REFUNDS ALLOWED ON REGISTRATIONS 
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Event Categories
HEALTH AND MEDICINE CONFERENCES
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Healthcare
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Life Sciences, Biotechnology
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SCIENCE AND TECHNOLOGY CONFERENCES
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Technology
Keywords: fun, analysis, administration , applications, architecture , architectures, audience, Book , class , Clinical




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