Kilian M. Pohl, PhD

Program Director
SRI International

Consulting Associate Professor
Department of Psychiatry & Behavioral Sciences
Stanford University

333 Ravenswood Ave
Menlo Park, CA 94025

 Research Interests  [more...]
  My main research area is computational medical image analysis with a focus on studying models motivated from a Bayesian perspective, machine learning, and differential geometry. It is my long term goal to enhance personalized medicine by creating algorithms for automatically quantifying and generalizing the information latent in images for tasks such as disease analysis, treatment monitoring, and surgical planning.
 Principal Investigator  [more..]  
 NIH U01  National Consortium on Alcohol & Neurodevelopment in Adolescence (NCANDA): Data Analysis
 NIH Admin Supp Supplement to U01 NCANDA: Data Analysis supporting Big Data to Knowledge (BD2K) initiative
 NIH R01  Innovative MRI-based Characterization of Cardiac Dyssynchrony
 NIH IAS Creative and Novel Ideas in HIV Research (CNIHR): Creating Maps of 4D Brain Images to Unravel Dementia Heterogeneity of Aging HIV Population
 Highlights [more..]  
August Sara Benito: Full stack engineer joins our group
July Yong Zhang: "Computing Group Cardinality Constraint Solutions for Logistic Regression Problems" in press at Medical Image Analysis with public release of corresponding software
June Kilian M Pohl: Presenting “Classifying MRIs based on Group Cardinality Constrained Solutions” at the Workshop on Medical Computer Vision at the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
May Yong Zhang & Sanghyun Park: "Joint Data Harmonization and Group Cardinality Constrained Classification" accepted to MICCAI 2016
April Nolan Nichols: Launches SIBIS website
March Sanghyun Park: Expert in medical image analysis joins our group
Feburary Kilian Pohl:Presents "SIBIS: Scalable Informatics for Biomedical Imaging Studies" at the Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston
January Edith V. Sullivan, Kilian Pohl:"Harmonizing DTI Measurements across Scanners to Examine the Development of White Matter Microstructure in 803 Adolescents of the NCANDA Study" in press at NeuroImage

Highlights in 2015

December Dongjin Kwon, Nolan Nichols, Kilian Pohl:Released Scalable Informatics for Biomedical Imaging Studies (SIBIS)
November Kilian Pohl & Adolf Pfefferbaum: Received subcontract from ABCD Data Analysis Center
Nolan Nichols: Wins 'Early Career Investigator Competition' at the BD2K All-Hands Grantee Meeting
October Kilian Pohl: Promoted to Consulting Associate Professor, Department of Psychiatry & Behavioral Sciences, Stanford University
September Nolan Nichols, Kilian Pohl:Received supplement to U01 NCANDA: Data Analysis in support of Big Data to Knowledge (BD2K) initiative and funded by NIH OD, NIAAA, and NABIB
August Dongjin Kwon: 13th most downloaded paper of IEEE Transactions on Medical Image Analysis in July 2015
Nolan Nichols:Received NIH Clinical Loan Repayment Program funded by NIH NIAAA
Nolan Nichols: Presented "The National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA): A Framework Supporting Neuroimaging Data Integration and Analysis" at the "Investigator Presentations" Session, Neuroinformatics 2015
July Nolan Nichols: "Neuroinformatics Software Applications Supporting Electronic Data Capture, Management, and Sharing for the Neuroimaging Community", in press at Neuropsychology Review
June Nolan Nichols: Organized the 2015 Hackerthon and the course Brain Hacking 101 and Hackathon Project Outcomes at OHBM
Kilian Pohl: Presented "Age-Related Differences in Adolescent Brain Microstructure: Initial Findings from National Consortium on Alcohol & Neurodevelopment in Adolescence" at the 38th Annual Research Society on Alcoholism Scientific Meeting
May Yong Zhang:Submission Solving Logistic Regression with Group Cardinality Constraints for Time Series Analysis and 3 co-authored papers were accepted to MICCAI 2015
Kilian Pohl:Collaborater in "Geometric Statistics in Computational Anatomy: Non-linear Subspace Learning Beyond the Riemannian Structure" funded by INRIA
Dongjin Kwon: joins group to enhance NCANDA with his expertise in medical image analysis
Yong Zhang:"Sparse approximation in medical imaging applications," Ye’s Group Meeting, Department of Management Science and Engineering, Stanford
Dimitri Metaxas, Leon Axel, Kilian Pohl: Awarded NIH R01 "Innovative MRI-based Characterization of Cardiac Dyssynchrony"
Kilian Pohl: Released sviewer - a simple 3D and 4D MRI viewer.
Nolan Nichols: joins group to enhance NCANDA with his expertise in neuroinformatics.

Highlights in 2014

December  Kilian Pohl: a PI of the U01 National Consortium on Alcohol and Neurodevelopment in Adolescence (NCANDA): Data Analysis.
November  Kilian Pohl: has been cited more than 1000 times.
October  Yong Zhang: joins group to idenfy phenotypes by creating maps of medical images
September  Kilian Pohl: promoted to Program Director at SRI
August  Kilian Pohl: Presented Logarithm of Odds for Medical Image Analysis at the Joint Statistical Meetings (JSM), Boston
July  Dolf Pfefferbaum: "White Matter Microstructural Recovery with Abstinence and Decline with Relapse in Alcoholism: A Controlled Longitudinal DTI Study," in press at The Lancet Psychiatry
June  Kilian Pohl: Guest lecturer at Biomedical Informatics 260, Stanford University
May  Kilian Pohl: Affiliated with Information Sciences in Imaging at Stanford (ISIS) section, Radiology, Stanford University
April  Kilian Pohl: Received Creative and Novel Ideas in HIV Research (CNIHR) Award
March  Kilian Pohl: "Logarithm of Odds for Medical Images Analysis", Divisions of Biostatistics and Bioinformatics, UCSF
February  Dong Ye: "Auto-Encoding of Discriminating Morphometry from Cardiac MRI", invited for oral presentation to ISBI 2014, Bejing, China.
January  Dong Ye: "Regional Manifold Learning for Disease Classification", in press at IEEE Transactions on Medical Imaging.
 Our group is currently hiring. Please contact me if you are looking for a position in neuroinformatics or medical image analysis.