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[Lab image] Biomedical Image Analysis
Head: Yanxi Liu
Contact: Yanxi Liu (yanxi@cs.cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated centers: VASC and MRTC

Jump to: Lab Description | Personnel | Projects | Publications

Lab Description

The long-term objective of our research is to build a computational framework for automatic disease classification, discrimination and prediction. We take an image feature-based statistical multivariate machine learning approach on multimodal biomedical images including, but not limited to, high resolution Magnetic Resonance Images (MRI), CT images, multispectral microscopic images and optical photos and videos. Working closely in team composed of computer scientists, neuropsychologist, geriatric psychiatrist, neurologist, neuroradiologist and psychologist, we have a wide range of applications with one focused goal: discovering the discriminative feature subspaces for automatic object semantic class prediction. To reach this goal, our work covers the development of computer algorithms for learning-based deformable registration, atlas-based segmentation, 3D shape representation and analysis, innovative image feature extraction and discriminative feature subspace induction and selection. We have applied our method successfully in CT neural images for discriminating among normal, infarct and blood cases for image content-based retrieval from large, multimedia stroke patient databases ; hyper-spectral Pap smear microscopic images for screening cancer cells from normal cells; facial expression videos for human identification and even digital videos for real-time moving target tracking .Our current challenging and exciting projects include automatic classifcation of neuropsychiatric patients with central nervous system (CNS) diseases, currently focusing on schizophrenia or Alzheimer's disease, from healthy subjects using high resolution Magnetic Resonance Images (MRI).

Personnel [Past members]

Name Title Email Address
Howard Aizenstein M.D., Ph.D.
Jim Becker Ph.D.
Cameron Carter M.D.
Jeffrey's personal homepage Jeffrey Cohn Adjunct Faculty (Adjunct) jeffcohn@cs.cmu.edu
Steven DeKosky M.D.
Takeo's personal homepage Takeo Kanade U.A. and Helen Whitaker University Prof., RI/CS tk@cs.cmu.edu
Nicole Lazar Assistant Professor, Statistics nlazar@stat.cmu.edu
Yanxi's personal homepage Yanxi Liu Adjunct Associate Research Professor yanxi@cs.cmu.edu
Oscar Lopez M.D.
Carolyn Meltzer M.D.
Sinjini Mitra PhD Student, Statistics smitra@andrew.cmu.edu
Jeffrey Palmer Masters Student, Statistics jppalmer@andrew.cmu.edu
Karen's personal homepage Karen Schmidt Assistant Professor, Psychiatry, UPitt kschmidt@pitt.edu
Stanley Shackney M.D.
Leonid Teverovskiy PhD Student, MLD lteverov@andrew.cmu.edu

Current Projects [Past Projects]

A Statistical Quantification of Human Brain Asymmetry - Constructing image index features to retrieve medically similar cases from a multimedia medical database.
Evaluation of MSP Extraction Algorithms - The aim of this project is to evaluate different state-of-art algorithms for automatic extraction of the mid-sagital plane in brain images.
Facial Asymmetry as a Biometric - We are investigating the effect of facial asymmetry measurement statistics as a biometric under expression variations.
Predicting Risk of Alzheimer's Disease From Shape Features - The goal of this project is to use computer vision techniques to help predict risk of Alzheimer's Disease in elderly patients.

Recent publications [View all 50 publications]

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