Bayes smoothing algorithms for segmentation of images modeled by Markov random fields. - Haluk Derin; Howard Elliott; Roberto Cristi; Donald Geman (ICASSP, 1984)

Application of the Gibbs distribution to image segmentation. - Howard Elliott; Haluk Derin; Roberto Cristi; Donald Geman (ICASSP, 1984)

Bayes Smoothing Algorithms for Segmentation of Binary Images Modeled by Markov Random Fields. - Haluk Derin; Howard Elliott; Roberto Cristi; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images. - Stuart Geman; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 1984)

Stochastic model for boundary detection. - Donald Geman (Image Vis. Comput., 1987)

Boundary Detection by Constrained Optimization. - Donald Geman; Stuart Geman; Christine Graffigne; Ping Dong (IEEE Trans. Pattern Anal. Mach. Intell., 1990)

A nonlinear filter for film restoration and other problems in image processing. - Stuart Geman; Donald E. McClure; Donald Geman (CVGIP Graph. Model. Image Process., 1992)

Constrained Restoration and the Recovery of Discontinuities. - Donald Geman; George Reynolds (IEEE Trans. Pattern Anal. Mach. Intell., 1992)

Nonlinear image recovery with half-quadratic regularization. - Donald Geman; Chengda Yang (IEEE Trans. Image Process., 1995)

An Active Testing Model for Tracking Roads in Satellite Images. - Donald Geman; Bruno Jedynak (IEEE Trans. Pattern Anal. Mach. Intell., 1996)

Shape Quantization And Recognition With Randomized Trees. - Yali Amit; Donald Geman (Neural Comput., 1997)

A Computational Model for Visual Selection. - Yali Amit; Donald Geman (Neural Comput., 1999)

Coarse-to-Fine Face Detection. - François Fleuret; Donald Geman (Int. J. Comput. Vis., 2001)

Model-based classification trees. - Donald Geman; Bruno Jedynak (IEEE Trans. Inf. Theory, 2001)

Face detection using coarse-to-fine support vector classifiers. - Hichem Sahbi; Donald Geman; Nozha Boujemaa (ICIP (3), 2002)

Fast Face Detection with Precise Pose Estimation. - François Fleuret; Donald Geman (ICPR (1), 2002)

Tree-Structured Neural Decoding. - Christian d'Avignon; Donald Geman (J. Mach. Learn. Res., 2003)

Self-Normalized Linear Tests. - Sachin Gangaputra; Donald Geman (CVPR (2), 2004)

Hierarchical Object Indexing and Sequential Learning. - Xiaodong Fan; Donald Geman (ICPR (3), 2004)

A Coarse-to-Fine Strategy for Multiclass Shape Detection. - Yali Amit; Donald Geman; Xiaodong Fan (IEEE Trans. Pattern Anal. Mach. Intell., 2004)

Experiments in Mental Face Retrieval. - Yuchun Fang; Donald Geman (AVBPA, 2005)

A Unified Stochastic Model for Detecting and Tracking Faces. - Sachin Gangaputra; Donald Geman (CRV, 2005)

An interactive system for mental face retrieval. - Yuchun Fang; Donald Geman; Nozha Boujemaa (Multimedia Information Retrieval, 2005)

Simple decision rules for classifying human cancers from gene expression profiles. - Aik Choon Tan; Daniel Q. Naiman; Lei Xu 014; Raimond L. Winslow; Donald Geman (Bioinform., 2005)

Robust prostate cancer marker genes emerge from direct integration of inter-study microarray data. - Lei Xu 014; Aik Choon Tan; Daniel Q. Naiman; Donald Geman; Raimond L. Winslow (Bioinform., 2005)

The Trace Model for Object Detection and Tracking. - Sachin Gangaputra; Donald Geman (Toward Category-Level Object Recognition, 2006)

A Design Principle for Coarse-to-Fine Classification. - Sachin Gangaputra; Donald Geman (CVPR (2), 2006)

Ordinal Coding of Image Microstructure. - Alexey Koloydenko; Donald Geman (IPCV, 2006)

In search of a unifying theory for image interpretation. - Donald Geman (ISIT, 2006)

Interactive image retrieval by mental matching. - Donald Geman (Multimedia Information Retrieval, 2006)

Diversity in multimedia information retrieval research. - James Ze Wang; Nozha Boujemaa; Alberto Del Bimbo; Donald Geman; Alexander G. Hauptmann; Jelena Tesic (Multimedia Information Retrieval, 2006)

A Hierarchy of Support Vector Machines for Pattern Detection. - Hichem Sahbi; Donald Geman (J. Mach. Learn. Res., 2006)

Interactive Search for Image Categories by Mental Matching. - Marin Ferecatu; Donald Geman (ICCV, 2007)

Large-scale integration of cancer microarray data identifies a robust common cancer signature. - Lei Xu 014; Donald Geman; Raimond L. Winslow (BMC Bioinform., 2007)

Microarray Classification from Several Two-Gene Expression Comparisons. - Donald Geman; Bahman Afsari; Aik Choon Tan; Daniel Q. Naiman (ICMLA, 2008)

Merging microarray data from separate breast cancer studies provides a robust prognostic test. - Lei Xu 014; Aik Choon Tan; Raimond L. Winslow; Donald Geman (BMC Bioinform., 2008)

Real-World Image Annotation and Retrieval: An Introduction to the Special Section. - James Ze Wang; Donald Geman; Jiebo Luo 001; Robert M. Gray (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

The ordering of expression among a few genes can provide simple cancer biomarkers and signal BRCA1 mutations. - Xue Lin; Bahman Afsari; Luigi Marchionni; Leslie Cope; Giovanni Parmigiani; Daniel Q. Naiman; Donald Geman (BMC Bioinform., 2009)

A Statistical Framework for Image Category Search from a Mental Picture. - Marin Ferecatu; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Identifying Tightly Regulated and Variably Expressed Networks by Differential Rank Conservation (DIRAC). - James A. Eddy; Leroy E. Hood; Nathan D. Price 001; Donald Geman (PLoS Comput. Biol., 2010)

Comparing machines and humans on a visual categorization test. - François Fleuret; Ting Li; Charles Dubout; Emma K. Wampler; Steven Yantis; Donald Geman (Proc. Natl. Acad. Sci. USA, 2011)

A Comprehensive Statistical Model for Cell Signaling. - Erdem Yörük; Michael F. Ochs; Donald Geman; Laurent Younes (IEEE ACM Trans. Comput. Biol. Bioinform., 2011)

Vantage Feature Frames for Fine-Grained Categorization. - Asma Rejeb Sfar; Nozha Boujemaa; Donald Geman (CVPR, 2013)

Identification of plants from multiple images and botanical IdKeys. - Asma Rejeb Sfar; Nozha Boujemaa; Donald Geman (ICMR, 2013)

Identification of direction in gene networks from expression and methylation. - David M. Simcha; Laurent Younes; Martin J. Aryee; Donald Geman (BMC Syst. Biol., 2013)

Learning Multivariate Distributions by Competitive Assembly of Marginals. - Francisco Sánchez-Vega; Jason Eisner; Laurent Younes; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

Multi-study Integration of Brain Cancer Transcriptomes Reveals Organ-Level Molecular Signatures. - Jaeyun Sung; Pan-Jun Kim; Shuyi Ma; Cory C. Funk; Andrew T. Magis; Yuliang Wang; Leroy E. Hood; Donald Geman; Nathan D. Price 001 (PLoS Comput. Biol., 2013)

switchBox: an R package for k-Top Scoring Pairs classifier development. - Bahman Afsari; Elana J. Fertig; Donald Geman; Luigi Marchionni (Bioinform., 2015)

Tail Risk Constraints and Maximum Entropy. - Donald Geman; Hélyette Geman; Nassim Nicholas Taleb (Entropy, 2015)

Confidence Sets for Fine-Grained Categorization and Plant Species Identification. - Asma Rejeb Sfar; Nozha Boujemaa; Donald Geman (Int. J. Comput. Vis., 2015)

Visual Turing test for computer vision systems. - Donald Geman; Stuart Geman; Neil Hallonquist; Laurent Younes (Proc. Natl. Acad. Sci. USA, 2015)

Information Pursuit: A Bayesian Framework for Sequential Scene Parsing. - Ehsan Jahangiri; Erdem Yörük; René Vidal; Laurent Younes; Donald Geman (CoRR, 2017)

Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer. - Bahman Afsari; Theresa Guo; Michael Considine; Liliana Florea; Luciane T. Kagohara; Genevieve L. Stein-O'Brien; Dylan Kelley; Emily Flam; Kristina D. Zambo; Patrick K. Ha; Donald Geman; Michael F. Ochs; et al. (Bioinform., 2018)

Graph Discovery for Visual Test Generation. - Neil Hallonquist; Donald Geman; Laurent Younes (ICPR, 2020)

Efficient representations of tumor diversity with paired DNA-RNA aberrations. - Qian Ke; Wikum Dinalankara; Laurent Younes; Donald Geman; Luigi Marchionni (PLoS Comput. Biol., 2021)

Attribute Prototype Learning for Interactive Face Retrieval. - Yuchun Fang; Zhengye Xiao; Wei Zhang; Yan Huang 008; Liang Wang 001; Nozha Boujemaa; Donald Geman (IEEE Trans. Inf. Forensics Secur., 2021)

Variational Information Pursuit for Interpretable Predictions. - Aditya Chattopadhyay; Kwan Ho Ryan Chan; Benjamin David Haeffele; Donald Geman; René Vidal (ICLR, 2023)

Interpretable by Design: Learning Predictors by Composing Interpretable Queries. - Aditya Chattopadhyay; Stewart Slocum; Benjamin D. Haeffele; René Vidal; Donald Geman (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Performance Bounds for Active Binary Testing with Information Maximization. - Aditya Chattopadhyay; Benjamin David Haeffele; René Vidal; Donald Geman (ICML, 2024)

GeneCover: A Combinatorial Approach for Label-Free Marker Gene Selection. - An Wang; Stephanie Hicks; Donald Geman; Laurent Younes (RECOMB, 2025)