BEGIN:VCALENDAR VERSION:2.0 PRODID:icalendar-ruby CALSCALE:GREGORIAN BEGIN:VEVENT DTSTAMP:20240329T120637Z UID:47ff5931-8b1c-4fa4-81aa-b59318d2af1b DTSTART:20210121T070000 DTEND:20210122T070000 CLASS:PRIVATE DESCRIPTION:\n
Bioimaging is a term that covers the complex chain of acquir
ing\, processing and visualizing structural or functional images of living
objects or systems\, including extraction and processing of image-related
information. Examples of image modalities used in bioimaging are many\, i
ncluding: X-ray\, CT\, MRI and fMRI\, PET and HRRT PET\, SPECT\, MEG and s
o on. Medical imaging and microscope/fluorescence image processing are imp
ortant parts of bioimaging referring to the techniques and processes used
to create images of the human body\, anatomical areas\, tissues\, and so o
n\, down to the molecular level\, for clinical purposes\, seeking to revea
l\, diagnose\, or examine diseases\, or medical science\, including the st
udy of normal anatomy and physiology. Image processing methods\, such as d
enoising\, segmentation\, deconvolution and registration methods\, feature
recognition and classification represent an indispensable part of bioimag
ing\, as well as related data analysis and statistical tools.
\nCONFE
RENCE CO-CHAIRS
\nHugo Gamboa\, LIBPHYS-UNL / FCT - New University of
Lisbon\, Portugal
\nAna Fred\, Instituto de Telecomunicaç\;&ot
ilde\;es / IST\, Portugal
\nSergi Bermudez i Badia\, Madeira Interact
ive Technologies Institute/Universidade da Madeira\, Portugal
\nPROGR
AM CHAIR
\nSheldon Wiebe\, University of Saskatchewan\, Canada
\
nKEYNOTE SPEAKERS
\nAnatole Lé\;cuyer\, Inria Rennes/IRISA\, Hy
brid Research Team\, France
\nCorina Sas\, Lancaster University\, Uni
ted Kingdom
\nDinesh Kumar\, RMIT University\, Australia
\nMaxim
iliano Romero\, Università\; Iuav di Venezia\, Italy
\nWORKSHOP
S
\nArtificial Intelligence for Health - AI4Health (BIOSTEC)
\nC
hairs: Giovanna Sannino and Ivanoe De Falco
\nSubmission: November 7\
, 2021
SPECIAL SESSIONS
\nKnowledge Acquisition and Learning in Semantic Interpretation of Medic
al Image Structures - KALSIMIS
\nChairs: Piotr Szczepaniak\, Piotr Gr
zelak and Arkadiusz Tomczyk
\nSubmission: November 7\, 2021
Denoising Methods for Bioimaging: Ad
vances in Theory and Implementations - DMB
\nChair: Jan Schier
\
nSubmission: November 7\, 2021
DOCTORAL CONSORTIUM
\nChair: Jan Schier
\nSubmission: Novemb
er 9\, 2021
\nOPEN COMMUNICATIONS
\nSubmission: November 9\, 202
1
 \;
\n\nImporta nt Dates
\n\nConference< /p>\n\n
Regular Papers
\nPaper Submis
sion: September 5\, 2021 (extended) \;
\nAuthors Notification: Oc
tober 16\, 2021 \;
\nCamera Ready and Registration: October 30\,
2021
Position Papers
\
nPaper Submission: September 29\, 2021 \;
\nAuthors Notification:
November 7\, 2021 \;
\nCamera Ready and Registration: November 2
0\, 2021
Workshops
\nW
orkshop Proposal: August 31\, 2021
Doctoral Consortium
\nPaper Submission: November 9\, 2021
\nAuthors Notification: November 22\, 2021
\nCamera Ready and Regis
tration: December 5\, 2021
Special Sessions
\nSpecial Session Proposal: August 31\, 2021
\n
Paper Submission: November 7\, 2021
\nAuthors Notification: November
21\, 2021
\nCamera Ready and Registration: November 29\, 2021<
/p>\n\n
Tutorials
\nTutorial Proposal
: November 24\, 2021
Demos< br />\nDemo Proposal: November 24\, 2021
\n\nPanels
\nPanel Proposal: November 24\, 2021
\nImpo
rtant Dates
Conference
\n\nRegular Papers
\nPaper Sub
mission: September 5\, 2021 (extended) \;
\nAuthors Notification:
October 16\, 2021 \;
\nCamera Ready and Registration: October 30
\, 2021
Position Papers
\nPaper Submission: September 29\, 2021 \;
\nAuthors Notificati
on: November 7\, 2021 \;
\nCamera Ready and Registration: Novembe
r 20\, 2021
Workshops
\nWorkshop Proposal: August 31\, 2021
Doctoral Consortium
\nPaper Submission: November 9\, 2021<
br />\nAuthors Notification: November 22\, 2021
\nCamera Ready and Re
gistration: December 5\, 2021
Special Sessions
\nSpecial Session Proposal: August 31\, 2021
\nPaper Submission: November 7\, 2021
\nAuthors Notification: Novemb
er 21\, 2021
\nCamera Ready and Registration: November 29\, 2021
Tutorials
\nTutorial Propo
sal: November 24\, 2021
Dem
os
\nDemo Proposal: November 24\, 2021
Panels
\nPanel Proposal: November 24\, 2021
p>\n\n
 \;
\n\nKeynote L ectures
\n\nAvailable
Soon
\nAnatole Lé\;cuyer\, Inria Rennes/IRISA\, Hybrid Research
Team\, France
Available So
on
\nCorina Sas\, Lancaster University\, United Kingdom
Available Soon
\nDinesh Kumar\, RMI
T University\, Australia
Av
ailable Soon
\nMaximiliano Romero\, Università\; Iuav di Venezi
a\, Italy
Brief Bio
strong> \;
\nAnatole Lé\;cuyer is senior researcher and hea
d of Hybrid team at Inria (Rennes\, France)\, the French National Institut
e for Research in Computer Science and Control\, that he joined in 2002. H
is 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 coord
inator or principal investigator in various National or International rese
arch projects such as in OpenViBE software for Brain-Computer Interfaces\,
French ANR projects &ldquo\;OpenViBE1&rdquo\; (05-09) and &ldquo\;OpenViB
E2&rdquo\; (09-12) on Brain-Computer Interfaces and Virtual reality\, Euro
pean Strep project &ldquo\;NIW&rdquo\; (08-11) on Augmented Walking\, and
the European Network of Excellence &ldquo\;INTUITION&rdquo\; (05-08) on Vi
rtual Reality. He regularly serves as expert in Virtual Reality and BCI fo
r public bodies such as European Commission (EC) or French National Resear
ch 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\, an
d formerly of ACM Transactions on Applied Perception (ACM TAP) and Interna
tional Journal of Human-Computer Studies (IJHCS).
Brief Bio \;
\n\nD r Sas builds on extensive expertise is Human Computer Interaction and user experience to design technologies for wellbeing and health\, including th ose 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 Interact ion conference\, and served in Programme Committees in over 20 conferences . Her work has received extensive media covers including The Times\, The N ew Scientist\, Daily Mail\, CBS\, NBC\, Medical Daily\, Science Daily\, Ne ws 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 pe er-reviewed publications\, and has been an investigator on grants totallin g over £\;10.5 million.
\n\n \;
\n\nBrief Bio \;
\nDinesh research interests are related to medical applications of sign
als and image processing and the use of machine learning to classify medic
al signals. He is a member of the expert panel for prosthetic hand control
(EU supported committee) and member on Therapeutic Goods Administration t
he advisory panel to ministry of health for medical devices. Dinesh has al
so extensive experience in technology translation and been successful with
two technology start-up ventures.
\n
\nDinesh 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.
\nAbstract \;
\nThere has be
en significant progress in medical technology that provides early stage an
d detailed diagnosis of many diseases. This has enhanced the longevity and
quality of life and we are now living longer and healthier\, and signific
antly more independent. We are also able to perform relevant functional ac
tivities for significant period. However\, many of these diagnostics can b
e performed only in major hospitals and require significant infrastructure
such as qualified personnel\, buildings\, and electricity. This greatly l
imits the benefits of the technologies to be located in large urban centre
s.
\n
\nDinesh has been working towards changing the above parad
igm and works for the development of diagnostic devices that are suitable
for being used in remote regions by untrained healthcare personnel. Such d
evices 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 adv
anced image and signal processing techniques that makes these devices nois
e tolerant and provide good quality diagnostics without high quality infra
structure.