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MICCAI 2018 Workshop and Challenges in Computational Precision Medicine


The Computational Precision Medicine (CPM) 2018 will be held on September 16, in Granada (Spain), in conjunction with MICCAI 2018. It will consist of a morning workshop and afternoon challenges. (further details will be provided in early June)

Registration: Participants of CPM workshop and/or challenges may choose to register for the entire MICCAI conference or register at a reduced fee only for this event, listed under Satellite Events on MICCAI 2018.

Note: Registration to the workshop/challenge sessions on Sept 16 is a prerequisite for participation in the test phase of the challenge. Contestants should provide proof of registration in order to be allowed into the test phase of each challenge.

Questions about the workshop and challenges? Send email to:


Workshop: Computational Imaging in Precision Medicine

CPM 2018 workshop will be held in the morning of Sunday, Sept 16, in the VIP Room of the Conference Center at MICCAI.  The workshop will feature topics in Quantitative Imaging Data Science, AI and Machine Learning, and applications of Radiomics in cancer diagnosis and therapy.  Invited speakers include: Drs. J. Kalpathy-Cramer (MGH), C. Davatzikos (UPenn), A. Stewart (MSKCC), D. Fuller (MD Anderson), K. Yan and J Liu (NIH).If you are interested to be considered for giving a short (10-15 min) presentation at the CPM workshop, please send an abstract of your intended presenation, in topical areas noted above, to by Aug 16.  Please include "CPM Workshop Abstract" in the subject fiedl of your email.  preliminary agenda is as follows:

Session 1

9:30 – 9:40 am                Introduction to CPM (K. Farahani, NCI)

9:40- 10:05 am               NCI Quantitative Imaging, Challenges, and Open Archives (K. Farahani, National Cancer Institute)

10:05 – 10:30 am            Imaging Data Commons and Informatics Technology for Cancer Research (S. Jett, National Cancer Institute)

10:30 – 10:55 am            Next Generation Imaging: Radiomics for Hepatopancreatobiliary Cancers (A. Simpson, Memorial Sloan Kettering Cancer Center)

11:00 am – 11:30 am  Coffee Break

Session 2

11: 30 – 11:55 am           Deep Learning Models and Radiomics: Harmonization and Standardization (K. Chang, Massachusetts Institute of Technology)

11:55 – 12:20 pm           On Accuracy, Robustness and Scalable Data Curation for Precision Medicine in Medical Image Computing (M. Reyes, University of Bern)

12:20 – 12:45 pm           Mining Annotations for Computer-Aided Diagnosis using Deep Learning Techniques (K. Yan, National Institutes of Health)

 12:45 – 1:10 pm              A Semi-supervised CNN with Pseudo-class Labels for Atherosclerotic Vascular Calcification Analysis (J. Liu, National Institutes of Health)

DateDeadline / Event

May 15


Training phase open for Pancreatic Cancer challenge
June 12     

Training phase for all CPM challenges

July 31 -Aug 16 (and Aug 30)

Test phase for all challenges, except for the FDG-PET closing on Aug 30)

Aug 16

Short papers (up to 4 pages) describing the algorithm used in a challenge

Sept 16

CPM Workshop (am) and Challenges (pm) at MICCAI

Sept 16-20

MICCAI Conference (Granada, Spain)

Challenge session

CPM Challenges

  1. Pancreatic Cancer Survival Prediction Challenge
  2. Combined Imaging and Digital Pathology Brain Tumor Classification Challenge
  3. Digital Pathology Nuclei Segmentation Challenge
  4. FDG-PET Radiomics in Head and Neck Cancers

Challenges my be accessed through the CPM Challenge website
Please note important dates in the chart to the right of this page. 

Top three winners of each challenge will give brief presentations of their algorithms during the afternoon challenge sessions.  Two persons from each team will be invited as co-authors of the manuscript report of each challenge. 

Abstract Submission: Workshop speakers and participants in challenges are asked to provide abstracts of their presentations (1 page) or computational algorithms (up to 4 pages) by Aug 16 (submissions for the FDG-PET challenge may be made by the extended deadline of Aug 30).  PDF submissions (free formatted, journal style, and double-spaced) should be sent to

Preliminary agenda for challenge sessions at MICCAI follows:

 CPM Challenges on Sept 16, at the VIP Room of the Conference Center

Pancreatic Cancer Survival Prediction Challenge

3:00 – 3:10 pm                Introduction (A. Simpson, Memorial Sloan Kettering Cancer Center, U.S.A.)

3:10 – 3:25 pm                Survival prediction (H. Muhammad, Weill Cornell Medical College and Memorial Sloan Kettering Cancer Center, U.S.A.)

3:25 – 3:40 pm                Multimodal feature extraction for Pancreatic Cancer and Survival Prediction using Random Survival Forests (S. Shankaranarayana,                S. Vinodhkumar,, India)

3:40 – 3:55 pm                Radiomics-based pancreatic cancer survival prediction on CT (S. Park, Y. Zhou, A.L. Yuille, E. Fishman, Johns Hopkins University,                    U.S.A.)

3:55 – 4:10 pm                3D network-based pancreatic cancer survival prediction from CT scans (Y. Zhoua, S. Park, E. Fishman, A.L. Yuill, Johns Hopkins                     University, U.S.A.)

4:10 – 4:25 pm                A multi-task approach to survival prediction in pancreatic cancer (U. Bharadwaj)

4:30 pm – 5:00 pm  Coffee Break 

Imaging and Pathology Brain Tumor Classification Challenge

5:00 – 5:10 pm                Introduction (T. Kurc, Stony Brook Cancer Center, U.S.A.)

5:10 – 5:25 pm                Multi-modal image classification of brain tumor based on deep learning (Q. Qi, Y. Zhang, Y. Huang, and X. Ding, Xiamen University, China)

5:25 – 5:40 pm                Dropout-Enabled Ensemble Learning for Multi-Scale Biomedical Data (A. Momeni, M. Thibault, O. Gevaert, Stanford University, U.S.A.)

5:40 – 5:55                      A Combined Radio-Histological Approach for Classification of Low Grade Gliomas (A. Bagari, A. Kumar, A. Kori, M. Khened and G. Krishnamurthi, Indian Institute of Technology, India)

Digital Pathology Nuclei Segmentation Challenge

6:00 – 6:10 pm                Introduction (T. Kurc, Stony Brook Cancer Center)

6:10 – 6:25 pm                Mask-RCNN for Cell Instance Segmentation (S. Zhou, X. Ren, D. Shen and Q. Wang, University of North Carolina at Chapel Hill, U.S.A., and Shanghai Jiao Tong University, China)

6:25 – 6:40 pm                Nuclei segmentation with histopathology images in digital pathology (Y. Zhang, Z. Zeng and W. Xie, Pvmed Inc, and Sun Yat-sen University, China)

6:40 – 6:55 pm                Nuclei Segmentation via FCN-based Coarse-to-fine Semantic Segmentation (Z. Wu, C. Shen, A. van den Hengel and J. Zhang, University of Adelaide, Australia)

6:55 pm                           Adjournment

Organizing Committee

  • Spyridon Bakas, UPenn
  • Hesham El HalawaniElhalawani, MD Anderson Cancer Center
  • Keyvan Farahani, National Cancer Institute
  • John Freymann, Leidos Biomedical Research
  • David Fuller, MD Anderson Cancer Center
  • Jayashree Kalpathy-Cramer, MGH Harvard
  • Justin Kirby, Leidos Biomedical Research
  • Tahsin Kurc, Stony Brook Cancer Center
  • Joel Saltz, Stony Brook Cancer Center
  • Amber Simpson, Memorial Sloan Kettering Cancer Center