Topics in Computer and Biomedecine
16:198:580 - Fall 2011

Prepare

For the final evaluation of the class:

1. Get in groups of 2 to 4 classmates
2. Pick an article to present:
   • from the list below
   • or from your own search
3. Prepare a 40-min group presentation:
   • aim for 40 minutes talk + 5/10 minutes questions
   • every group member should talk
   • use powerpoint or equivalent (google docs, keynote, etc)
   • use your own laptop if you prefer
   • use contents of the article (screenshots of figure, etc.)
   • use extra materials (other articles, figures, etc.) if it is relevant
4. What to present:
   • what is the problem addressed in the article
   • why is it important
   • what is missing for that problem, and what are their contributions
   • what is their method
   • what are their results
   • how does it compare with similar work
   • what are the next steps
   • what do you think about their work

Articles

Use one of these below, or find your own.

Suggestions of places to look for: (preferably 2010, 2011, 2012)

• Journals: IEEE Trans. Medical Imaging, IEEE Trans. Biomedical Engineering, IEEE Pattern Analysis and Machine Intelligence, PLoS One, PLoS Computational Biology, Radiology, Cells, etc.
• Conferences: MICCAI, ISBI, SPIE Medical Imaging, ICCV, ECCV, CVPR, Siggraph, etc.

A Generative Model for Brain Tumor Segmentation in Multi-Modal Images

A Level Set Approach for Shape-Driven Segmentation and Tracking of the Left Ventricle

A snake-based method for segmentation of intravascular ultrasound images and its in vivo validation

Active Contours in Optical Flow Fields for Image Sequence Segmentation

Atlas Construction and Image Analysis Using Statistical Cardiac Models : Qiong Hu, Xin Lian

Comparison and Evaluation of Methods for Liver Segmentation From CT Datasets

Diffeomorphic Diffusion Registration of Lung CT Images

Evaluation of Methods for Pulmonary Image Registration- The EMPIRE10 Study

Fully Automatic Segmentation of the Knee Joint using Active Appearance Models : Fengpeng Yuan, Guojing Yuan, Jing Zhang.

High-Throughput Prostate Cancer Gland Detection Segmentation and Classification from Digitized Needle Core Biopsies

Multiple Nuclei Tracking Using Integer Programming for Quantitative Cancer Cell Cycle Analysis : Maynard Exum, Yuwen Zhang, Yang Yu

Wavelet energy-guided level set-based active contour - A segmentation method to segment highly similar regions