The Ninth IEEE International Conference on Machine
Learning and Applications (ICMLA 2010)


Sponsored by AMLA, WSU, CSUB and IEEE SMCS (Tech. Sponsorship)

Bethesda, Washington D.C., USA      12-14 Dec. 2010


Special Session Call for Papers


Special Session on

Machine Learning Methods in Cancer and Radiation Therapy



Cancer is a leading cause of death worldwide and can affect people at all ages.  It is responsible for about 13% of all deaths in the world.  Cancer treatment is based on different methods, such as surgery, chemotherapy, radiotherapy, targeted gene therapy or combinations of these. The majority of cancer patients receive chemotherapy and radiotherapy as part of their care. Patients tend to respond differently to standard care. This is due to complex interactions between the treatment method, disease, and patient’s bio-profile.  Moreover, radiation therapy involves the use of high-energy radiation beams to kill cancer cells, while sparing nearby normal tissues. Computational techniques, such as Machine Learning (ML) techniques, have been increasingly used in radiotherapy to help accurately localize the tumors in images, precisely target the radiation to the tumors, analyze treatment outcomes, and improve treatment quality and patient safety. This session aims to provide a platform to present and discuss recent advancements in the application of ML methods in the radiotherapy field.




This session would solicit original research papers on modeling treatment outcomes (radiotherapy, chemotherapy, etc.) of cancer patients as well as on general application of ML in radiotherapy, including but not limited to the following topics:

­        Treatment outcomes modeling using linear and nonlinear kernel-based models

­        Extraction of cancer prognostic factors from clinically and biologically relevant data

­        Analysis of high through-put biotechnology data (genomics and proteomics) related to treatment response

­        Treatment metrics and biomarkers methods for predicting outcomes

­        Imaging patterns as predictor of response

­        Image guided radiotherapy

­        Medical image segmentation and analysis

­        Machine learning to support diagnosis

­        Analysis and prediction of anatomical motion

­        Gating of respiratory motion

­        Treatment outcome analysis

­        Treatment quality assurance



Paper Submission Deadline:                                    July 15, 2010
Notification of acceptance:                                   September 7, 2010
Camera-ready papers & Pre-registration:                 October 1, 2010
The ICMLA Conference:                                        December 12-14, 2010
This special session will be held as part of the ICMLA’10 conference. Authors should submit papers through the main conference submission website. Papers must correspond to the requirements detailed in the instructions to authors. All conference submissions will be handled electronically. Detailed instructions for submitting the papers are provided on the conference home page at:


Accepted papers must be presented by one of the authors to be published in the conference proceedings. Authors with accepted papers will be invited to send expanded manuscripts to be published in a special issue of the new Journal for Radiation Oncology Informatics (JROI). If you have any questions, do not hesitate to direct your questions to or any of the program committee members below.



Program Committee Members:

·         Dr. Martin J. Murphy, Virginia Commonwealth University

·         Dr. Steve Jiang, University of California, San Diego, USA

·         Dr. Lei Xing, Stanford University School of Medicine, USA

·         Dr. Shiva K Das, Duke University, USA

·         Dr. Jan Seuntjens, McGill University, Canada

·         Dr. John Kildea, McGill University, Canada

·         Dr. Mustapha Lebbah, University of Paris 13, France

·         Dr. Warren D'Souza, University of Maryland School of Medicine, USA

·         Dr. Andre Dekker, MAASTRO Clinic, Netherlands

·         Dr. Paul Putora, Kantonsspital St. Gallen, Switzerland

·         Mr. Collin Brack, University of Texas Medical Branch at Galveston, USA

·         Dr. Moyed Miften, University of Colorado Denver, USA

·         Dr. Issam El Naqa, McGill University, Canada