Difference between revisions of "Autoseg 2015"

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== Introduction ==
 
== Introduction ==
  
Automatic image segmentation is widely used in biomedical research, and has found growing use in clinical medicine. Prominent and successful examples include cancer staging, radiotherapy planning, surgical planning, and treatment assessment.  However there are many challenges which limit adoption.  Segmentation accuracy and reliability still need improvement; many algorithms contain domain-dependent features that cannot be generalized; algorithms must be continuously tuned to match changes in medical practice; and quality assessment methodologies are immature.
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We are pleased to announce the Autoseg 2015 Workshop being held on June 7, 2015 in conjunction with the IUPESM 2015 World Congress on Medical Physics & Biomedical Engineering (http://wc2015.org) at the Metro Toronto Convention Centre in Toronto, Canada.  
  
We announce the second Automatic Segmentation Algorithm Workshop (Autoseg 2015), to be held in conjunction with the 2015 World Congress on Medical Physics and Biomedical Engineering (http://wc2015.org) in Toronto Canada. The workshop provides the opportunity for medical imaging researchers to meet and exchange ideas in the rapidly advancing field of automatic segmentation.   
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== Learning Objectives ==
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This program will focus on automated methods for medical image segmentation.  Topics will include clinical applications, algorithms, and computational implementation.  Medical physicists, biomedical engineers, imaging scientists, computer scientists and healthcare professionals who use autosegmentation methods will enhance their knowledge and skills by attending this one-day event.  
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After this event, attendees will be able to describe several autosegmentation algorithms; compare and evaluate different autosegmentation techniques; and select amongst different algorithms for varied imaging modalities and tasks.  
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The workshop will consist of ten invited presentations from leaders in medical image autosegmentation and provides the opportunity for medical imaging researchers to meet and exchange ideas in the rapidly advancing field of automatic segmentation.   
  
 
== Organizing Committee ==
 
== Organizing Committee ==
Stephen Breen, Princess Margaret Cancer Centre<br>
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Stephen Breen, Princess Margaret Cancer Centre, Canada<br>
Vladimir Pekar, Philips Healthcare<br>
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Vladimir Pekar, Philips Healthcare, Canada<br>
Gregory Sharp, Massachusetts General Hospital
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Gregory Sharp, Massachusetts General Hospital, USA
  
 
== Speakers ==
 
== Speakers ==
John Kim, Princess Margaret Cancer Centre, Canada<br>
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* <i>Autosegmentation: Implications to standardization of practice</i><br>John Kim, Princess Margaret Cancer Centre, Canada
Stina Svensson, Raysearch Laboratories, Sweden<br>
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* <i>Segmentation of MR image using an atlas-based approach</i><br>Stina Svensson, Raysearch Laboratories, Sweden<br>
Jinzhong Yang, MD Anderson Cancer Center, USA<br>
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* <i>Image segmentation using prior knowledge</i><br>Jinzhong Yang, MD Anderson Cancer Center, USA<br>
Thomas Langerak, Erasmus Medical Center, The Netherlands<br>
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* <i>The segmentation directory or: Who to call when applying atlas-based segmentation</i><br>Thomas Langerak, Erasmus Medical Center, The Netherlands<br>
Chris McIntosh, Princess Margaret Cancer Centre, Canada<br>
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* <i>Automated personalized dose prediction via image analysis and the patient manifold</i><br>Chris McIntosh, Princess Margaret Cancer Centre, Canada<br>
Harini Veeraragavan, Memorial Sloan Kettering Cancer Center, USA<br>
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* <i>Longitudinal segmentation of tumors and normal structures from multi-parametric MRI</i><br>Harini Veeraragavan, Memorial Sloan Kettering Cancer Center, USA<br>
Yuri Boykov, Western University, Canada<br>
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* <i>Segmentation with non-linear constraints on geometry, complexity, and appearance</i><br>Yuri Boykov, Western University, Canada<br>
Satish Viswanath, Case Western University, USA<br>
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* <i>Automated detection and segmentation of cancer and cancer treatment response on MRI</i><br>Satish Viswanath, Case Western University, USA<br>
Prabhjot Juneja, University of Sydney, Australia<br>
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* <i>Investigation of the accuracy of breast tissue segmentation for the purpose of adaptive breast radiotherapy</i><br>Prabhjot Juneja, University of Sydney, Australia<br>
Grigorios Karangelis, Oncology Systems Ltd, United Kingdom<br>
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* <i>Validation approaches and quality assurance of auto-segmentation techniques in radiotherapy</i><br>Grigorios Karangelis, Oncology Systems Ltd, United Kingdom<br>
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== Participation ==
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The workshop is free and open to the public.  No prior registration is necessary.<br>
 +
However, we would like a headcount for catering.  Please e-mail Greg Sharp <gcsharp@mgh.harvard.edu> if you will attend.
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== CAMPEP Credits ==
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The organizing committee has applied to CAMPEP for the approval of this activity for 7 hours of Medical Physics Continuing Education Credits.
  
 
== Venue ==
 
== Venue ==
[[image:world_congress_2015_logo.png|300px]]<br>
 
 
Held in conjunction with http://wc2015.org/
 
Held in conjunction with http://wc2015.org/
  
 
June 7, 2015, 8:00-13:30<br>
 
June 7, 2015, 8:00-13:30<br>
 
Metro Toronto Convention Center<br>
 
Metro Toronto Convention Center<br>
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Room 715-B<br>
 
Toronto, Canada
 
Toronto, Canada
  
== Participation ==
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The organizing committee acknowledges the financial support from COMP.<br>
The workshop is free and open to the public. No registration is necessary.
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 +
[[image:comp_logo.png|300px]]<br>

Latest revision as of 16:06, 20 May 2015

Home < Autoseg 2015
Autoseg 2015 brainstem.jpg
Autoseg 2015 growcut.jpg

Introduction

We are pleased to announce the Autoseg 2015 Workshop being held on June 7, 2015 in conjunction with the IUPESM 2015 World Congress on Medical Physics & Biomedical Engineering (http://wc2015.org) at the Metro Toronto Convention Centre in Toronto, Canada.

Learning Objectives

This program will focus on automated methods for medical image segmentation. Topics will include clinical applications, algorithms, and computational implementation. Medical physicists, biomedical engineers, imaging scientists, computer scientists and healthcare professionals who use autosegmentation methods will enhance their knowledge and skills by attending this one-day event.

After this event, attendees will be able to describe several autosegmentation algorithms; compare and evaluate different autosegmentation techniques; and select amongst different algorithms for varied imaging modalities and tasks.

The workshop will consist of ten invited presentations from leaders in medical image autosegmentation and provides the opportunity for medical imaging researchers to meet and exchange ideas in the rapidly advancing field of automatic segmentation.

Organizing Committee

Stephen Breen, Princess Margaret Cancer Centre, Canada
Vladimir Pekar, Philips Healthcare, Canada
Gregory Sharp, Massachusetts General Hospital, USA

Speakers

  • Autosegmentation: Implications to standardization of practice
    John Kim, Princess Margaret Cancer Centre, Canada
  • Segmentation of MR image using an atlas-based approach
    Stina Svensson, Raysearch Laboratories, Sweden
  • Image segmentation using prior knowledge
    Jinzhong Yang, MD Anderson Cancer Center, USA
  • The segmentation directory or: Who to call when applying atlas-based segmentation
    Thomas Langerak, Erasmus Medical Center, The Netherlands
  • Automated personalized dose prediction via image analysis and the patient manifold
    Chris McIntosh, Princess Margaret Cancer Centre, Canada
  • Longitudinal segmentation of tumors and normal structures from multi-parametric MRI
    Harini Veeraragavan, Memorial Sloan Kettering Cancer Center, USA
  • Segmentation with non-linear constraints on geometry, complexity, and appearance
    Yuri Boykov, Western University, Canada
  • Automated detection and segmentation of cancer and cancer treatment response on MRI
    Satish Viswanath, Case Western University, USA
  • Investigation of the accuracy of breast tissue segmentation for the purpose of adaptive breast radiotherapy
    Prabhjot Juneja, University of Sydney, Australia
  • Validation approaches and quality assurance of auto-segmentation techniques in radiotherapy
    Grigorios Karangelis, Oncology Systems Ltd, United Kingdom

Participation

The workshop is free and open to the public. No prior registration is necessary.
However, we would like a headcount for catering. Please e-mail Greg Sharp <gcsharp@mgh.harvard.edu> if you will attend.

CAMPEP Credits

The organizing committee has applied to CAMPEP for the approval of this activity for 7 hours of Medical Physics Continuing Education Credits.

Venue

Held in conjunction with http://wc2015.org/

June 7, 2015, 8:00-13:30
Metro Toronto Convention Center
Room 715-B
Toronto, Canada

The organizing committee acknowledges the financial support from COMP.

Comp logo.png