P. Hennings-Yeomans

An efficient bayesian method for predicting clinical outcomes from genome-wide data.

G. Cooper, M. Barmada, S. Visweswaran, 2010, AMIA ... Annual Symposium proceedings. AMIA Symposium.

Palmprint Classification Using Multiple Advanced Correlation Filters and Palm-Specific Segmentation

B. V. K. Vijaya Kumar, Pablo H. Hennings-Yeomans, Marios Savvides, 2007, IEEE Transactions on Information Forensics and Security.

Spatial genomic heterogeneity within localized, multifocal prostate cancer

Faraz Hach, Robert E Denroche, Neil Fleshner, 2015, Nature Genetics.

A Comprehensive Assessment of Somatic Mutation Calling in Cancer Genomes

Roland Eils, Pablo H. Hennings-Yeomans, Paul T. Spellman, 2014, bioRxiv.

ShatterProof: operational detection and quantification of chromothripsis

Pablo H. Hennings-Yeomans, Alexander Wyatt, Colin Collins, 2014, BMC Bioinformatics.

Improving the Prediction of Clinical Outcomes from Genomic Data Using Multiresolution Analysis

Pablo H. Hennings-Yeomans, Gregory F. Cooper, G. Cooper, 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

Simultaneous super-resolution and feature extraction for recognition of low-resolution faces

Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. Vijaya Kumar, 2008, 2008 IEEE Conference on Computer Vision and Pattern Recognition.

Robust low-resolution face identification and verification using high-resolution features

Pablo H. Hennings-Yeomans, Simon Baker, B. V. K. Vijaya Kumar, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Recognition of Low-Resolution Faces Using Multiple Still Images and Multiple Cameras

B.V.K.V. Kumar, P.H. Hennings-Yeomans, S. Baker, 2008, 2008 IEEE Second International Conference on Biometrics: Theory, Applications and Systems.