[Insight-users] MICCAI 2007 - Second Call for Workshop Papers
Luis Ibanez
luis.ibanez at kitware.com
Mon Jun 4 08:01:22 EDT 2007
Dear Colleagues,
The scientific program of MICCAI 2007 will be complemented this year
with 7 workshops (http://www.miccai2007.org/workshops), and 5 tutorials
(http://www.miccai2007.org/tutorials).You are now invited to submit your
workshop papers. The following timeline applies to all workshops, unless
advertised otherwise on the respective website:
15 June Deadline for submission of full length workshop papers
31 July Notification of acceptance of workshop papers
15 August Submission of camera ready papers
Please note that papers accepted to the MICCAI conference will not be
accepted to any workshop.
Below is a list of workshops for your information.
Imaging and computing biomarkers: the challenges in clinical oncology
Organisers: Kensaku Mori, H.O. Peitgen, Wiro Niessen, Jifke Veenland
http://www.bigr.nl/miccai2007
Imaging has evolved from visualizing the anatomy to a multitude of
techniques that can provide visual information on tissue morphology,
physiology and metabolic processes. In clinical oncology, a variety of
MRI sequences, Ultrasound and PET/CT provide important visual
information. An important challenge for the medical image processing
domain is to offer techniques to process and analyze the different type
of clinical images for cancer detection, diagnosis, grading, and
treatment response monitoring.
Relevant image processing techniques include the analysis of time
sequences, motion compensation, image registration, image segmentation,
pattern recognition and novel local quantification techniques. Combining
new image acquisition methods with advanced image processing techniques
can provide researchers and clinicians with meaningful endpoints to
further patient care and guide clinical research.
Computational Biomechanics for Medicine II
Organisers: Karol Miller, Keith D. Paulsen, Alistair A. Young, Poul M.
F. Nielsen
http://cbm2007.mech.uwa.edu.au
Mathematical modelling and computer simulation have proved tremendously
successful in engineering. One of the greatest challenges for mechanists
is to extend the success of computational mechanics to fields outside
traditional engineering, in particular to biology, biomedical sciences,
and medicine. The proposed workshop will provide an opportunity for
computational biomechanics specialists to present and exchange opinions
on the opportunities of applying their techniques to computer-integrated
medicine. For example, continuum mechanics models provide a rational
basis for analysing biomedical images by constraining the solution to
biologically reasonable motions and processes. Biomechanical modelling
can also provide clinically important information about the physical
status of the underlying biology, integrating information across
molecular, tissue, organ, and organism scales. The main goal of this
workshop is to showcase the clinical and scientific utility of
computational biomechanics in computer-integrated medicine.
Interaction in medical image analysis and visualization
Organisers: Anders Persson, Ewert Bengtsson
http://www.cmiv.liu.se/output/meetings/miccai-workshop-2007/
Although a general ambition is to make medical image analysis and
visualization systems as automated as possible, the complexity of the
human anatomy in the images frequently makes it impossible to achieve
full automation with sufficient quality of the results. In particular,
image segmentation often requires some human interaction, and in volume
rendering interactive adjustment of transfer functions is common. Since
modern medical image data tend to have three or more dimensions, and
image display and interaction devices are predominantly 2D, the required
interaction poses challenging problems.
Topics include:
• System design for interaction
• Software toolkits for visualization and interaction with
medical image data
• Interactive 3D segmentation
• Fuzzy methods for segmentation, visualization and interaction
• Hardware-based visualization methods enabling interaction
• New methods for interaction in volume rendering
• Interactive and automated definition of transfer functions
• Haptic interaction for medical image analysis and visualization
• Clinical and research applications of interactive
segmentation and visualization
• The clinical value of stereoscopic hardware vs. standard displays
There will be a half-day workshop with invited presentations and
contributed posters, with a possibility for demonstrations of actual
systems on the presenter’s own computer.
Open Source and Open Data for MICCAI
Organisers: Stephen Aylward, Tina Kapur, Luis Ibanez, Kevin Cleary
http://www.insightsoftwareconsortium.org/wiki/index.php/2007_MICCAI_Open_Workshop
Want to share, replicate, extend, or compare software and data presented
at the main conference? Want to publish or learn about the full set of
parameters and processes that were needed to achieve results presented
at the main conference? This workshop features peer-reviewed submissions
that describe the available data and software of MICCAI. We encourage
submissions that are complimentary to papers being presented at the main
conference, as well as submissions on novel topics.
The receipt, review, and publication of submissions to this workshop
will use the open-access Insight Journal. Authors are encouraged to
include other files with their submission, particularly videos, code,
and data. Also, submissions are immediately available to any registered
member of the Insight Journal (registration is free); and any member may
contribute a public, peer-review of any submission. Authors may also
post responses to reviews and upload revisions to their submissions.
Important dates for the workshop:
July 1: Deadline for submissions
September 1: Deadline for reviews
September 5: Notification of acceptance
On September 1, the workshop committee will consider the posted reviews,
as well as the intent of the workshop, to select papers for oral and
poster presentation. Those decisions will be announced on or about
September 5.
When appropriate, authors will be offered the opportunity to have their
code distributed with the Insight Toolkit (ITK). However, the use of ITK
is not a requisite for submitting to the workshop; featuring other
toolkits is strongly encouraged.
3D Segmentation in the Clinic: A Grand Challenge
Organisers: Tobias Heimann, Martin Styner, Bram van Ginneken
http://mbi.dkfz-heidelberg.de/grand-challenge2007/
This workshop presents a contest for automatic segmentation methods in
two ambitious and relevant applications of medical image analysis: The
3D segmentation of the caudate nucleus in brain MRI images and of the
liver in abdominal CT images. After signing a letter of intent,
participants can download training datasets (with manual reference
segmentations) from a designated website in order to train and tune
their algorithms. To qualify for the challenge, authors have to run
their algorithms on a first set of supplied test data and upload the
resulting segmentations. The results (numbers, tables and figures) will
be mailed back and must be included in the paper. The main competition
will take place on an additional set of unseen test datasets, either
live at the workshop (if participants run the segmentation on their own
laptops) or in advance by the organizers (if participants send in
executables of their algorithms on supported platforms). Results will be
compared with manual reference segmentations using a number of
evaluation metrics; they will be ranked and presented for the first time
at the workshop. The winners of each category will be awarded with small
prizes, and endless fame and glory.
Statistical Registration: Pair-wise and Group-wise Alignment and Atlas
Formation
Organisers: Lilla Zollei, William Wells, Mark Jenkinson
http://www.nmr.mgh.harvard.edu/martinos/training/nonlocal/miccai07-workshop/index.shtml
In the past decade, registration methods based on joint statistics and
entropy measures have been broadly used in medical imaging applications.
More recently, given proper computational resources and a rapidly
increasing volume of available data sets, group-wise registration has
emerged as a valuable mechanism for atlas formation and population studies.
This workshop intends to clarify the taxonomy of statistical and
information theoretic registration methods, including
• explicit and implicit modeling assumptions and their apparent
strengths and weaknesses
• image transformation models
• various optimizers that are used in estimating transformations
• various ways of aligning large sets of image acquisitions and
of creating probabilistic
• anatomy atlases
• a survey of the wide range of application problems that have
been addressed
We invite previously unpublished papers that address related topics. All
the accepted papers will be published in a separate workshop proceedings
and the organizers will recommend the appearance of a few selected ones
in a related journal special edition.
This workshop is aimed at researchers who are already familiar with the
basic medical image registration problem and who develop registration
methods themselves.
Content-based Image Retrieval for Biomedical Image Archives:
Achievements, Problems, and Prospects
Organisers: Hayit Greenspan, Thomas Lehmann
http://www.eng.tau.ac.il/~hayit/MICCAI_CBIR_workshop
In most biomedical disciplines, digital image data is rapidly expanding
in quantity and heterogeneity, and there is an increasing trend towards
the formation of archives adequate to support diagnostics and preventive
medicine. Exploration, exploitation, and consolidation of the immense
image collections, from nano to macro, require tools to access
structurally different data for research, diagnostics and teaching.
Currently, image data is linked to textual descriptions, and data access
is provided only via these textual additives. There are virtually no
tools available to access medical images directly by their content or to
cope with their structural differences. Visual-based (i.e.
content-based) indexing and retrieval based on information contained in
the pixel data of medical images is expected to have a great impact on
biomedical image databases. However, existing systems are not applicable
to medical imagery’s special needs, and novel methodologies are urgently
needed.
The goal of this workshop is to introduce the topic of content-based
image retrieval (CBIR), in particular CBIR in medical image archives
(medical image retrieval), and to brainstorm on the key issues that are
critical to short- and long-term advances in the field. Also, we will
assess the prospects of advancing biomedical CBIR with new,
publicly-available Web-based systems, new collaborative efforts among
existing research groups, or new CBIR deployments in biomedical
environments where high impact is likely. Intended audience includes
both the engineers and computer scientists who develop image processing
algorithms, as well as medical experts who we believe can utilize the
CBIR technology to augment diagnostics, research and training.
Topics of interest include (but are not limited to):
• Medical image categorization
• Statistical models for medical image representation and indexing
• Feature extraction – from global to local to relational
• Patch-based (“bag-of-features”) representation/retrieval
• SIFT – scale invariant features
• Region-based retrieval
• Region-of-interest retrieval
• Shape indexing in medical image databases
• Combining image with text for automated annotation
• Content-based compression
• Retrieval application domains: Mammography; Radiology; other
• Web interfaces for medical CBIR
Apologies for any multiple copies of this email.
Best wishes
MICCAI 2007 Secretariat
PO Box 10842, Adelaide Street
Brisbane Australia 4000
www.miccai2007.org
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