Joachim M Buhmann


Ontology type: schema:Person     


Person Info

NAME

Joachim M

SURNAME

Buhmann

Publications in SciGraph latest 50 shown

  • 2017-08-15 Model Selection for Gaussian Process Regression in PATTERN RECOGNITION
  • 2017 SuperSlicing Frame Restoration for Anisotropic ssTEM and Video Data in NEURAL CONNECTOMICS CHALLENGE
  • 2017 MRI-Based Surgical Planning for Lumbar Spinal Stenosis in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION − MICCAI 2017
  • 2016-07 Image-based computational quantification and visualization of genetic alterations and tumour heterogeneity in SCIENTIFIC REPORTS
  • 2015-06 Asymptotic analysis of estimators on multi-label data in MACHINE LEARNING
  • 2015 Visual Saliency Based Active Learning for Prostate MRI Segmentation in MACHINE LEARNING IN MEDICAL IMAGING
  • 2015 Boosting Convolutional Filters with Entropy Sampling for Optic Cup and Disc Image Segmentation from Fundus Images in MACHINE LEARNING IN MEDICAL IMAGING
  • 2014-04 Highly multiplexed imaging of tumor tissues with subcellular resolution by mass cytometry in NATURE METHODS
  • 2014 Convolutional Decision Trees for Feature Learning and Segmentation in PATTERN RECOGNITION
  • 2014 Semi-automatic Crohn’s Disease Severity Estimation on MR Imaging in ABDOMINAL IMAGING. COMPUTATIONAL AND CLINICAL APPLICATIONS
  • 2014 Combining Multiple Expert Annotations Using Semi-supervised Learning and Graph Cuts for Crohn’s Disease Segmentation in ABDOMINAL IMAGING. COMPUTATIONAL AND CLINICAL APPLICATIONS
  • 2014 Computational Design of Informative Experiments in Systems Biology in A SYSTEMS THEORETIC APPROACH TO SYSTEMS AND SYNTHETIC BIOLOGY I: MODELS AND SYSTEM CHARACTERIZATIONS
  • 2013-10 A Supervised Learning Approach for Crohn's Disease Detection Using Higher-Order Image Statistics and a Novel Shape Asymmetry Measure in JOURNAL OF DIGITAL IMAGING
  • 2013 Structure Preserving Embedding of Dissimilarity Data in SIMILARITY-BASED PATTERN ANALYSIS AND RECOGNITION
  • 2013 Approximate Sorting in PATTERN RECOGNITION
  • 2013 Semi-Supervised and Active Learning for Automatic Segmentation of Crohn’s Disease in ADVANCED INFORMATION SYSTEMS ENGINEERING
  • 2013 Automated Analysis of Tissue Micro-Array Images on the Example of Renal Cell Carcinoma in SIMILARITY-BASED PATTERN ANALYSIS AND RECOGNITION
  • 2013 A Model Development Pipeline for Crohn’s Disease Severity Assessment from Magnetic Resonance Images in ABDOMINAL IMAGING. COMPUTATION AND CLINICAL APPLICATIONS
  • 2013 SIMBAD: Emergence of Pattern Similarity in SIMILARITY-BASED PATTERN ANALYSIS AND RECOGNITION
  • 2012-07 Unsupervised modeling of cell morphology dynamics for time-lapse microscopy in NATURE METHODS
  • 2012-06 A high-throughput metabolomics method to predict high concentration cytotoxicity of drugs from low concentration profiles in METABOLOMICS
  • 2012 Anisotropic ssTEM Image Segmentation Using Dense Correspondence across Sections in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2012
  • 2012 Cardiac LV and RV Segmentation Using Mutual Context Information in MACHINE LEARNING IN MEDICAL IMAGING
  • 2012 A Supervised Learning Based Approach to Detect Crohn’s Disease in Abdominal MR Volumes in ABDOMINAL IMAGING. COMPUTATIONAL AND CLINICAL APPLICATIONS
  • 2011 Agnostic Domain Adaptation in PATTERN RECOGNITION
  • 2011 Context Sensitive Information: Model Validation by Information Theory in PATTERN RECOGNITION
  • 2011 Modeling Engagement Dynamics in Spelling Learning in ARTIFICIAL INTELLIGENCE IN EDUCATION
  • 2011 The Minimum Transfer Cost Principle for Model-Order Selection in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2011 Model-Based Clustering of Inhomogeneous Paired Comparison Data in SIMILARITY-BASED PATTERN RECOGNITION
  • 2010-10 Infinite mixture-of-experts model for sparse survival regression with application to breast cancer in BMC BIOINFORMATICS
  • 2010 Computational TMA Analysis and Cell Nucleus Classification of Renal Cell Carcinoma in PATTERN RECOGNITION
  • 2010 Entropy and Margin Maximization for Structured Output Learning in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2010 Proteome Coverage Prediction for Integrated Proteomics Datasets in RESEARCH IN COMPUTATIONAL MOLECULAR BIOLOGY
  • 2010 Geometrical Consistent 3D Tracing of Neuronal Processes in ssTEM Data in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2010
  • 2009-06 Seeing the Objects Behind the Dots: Recognition in Videos from a Moving Camera in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2009 Graph-Based Pancreatic Islet Segmentation for Early Type 2 Diabetes Mellitus on Histopathological Tissue in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2009
  • 2009 Randomized Tree Ensembles for Object Detection in Computational Pathology in ADVANCES IN VISUAL COMPUTING
  • 2008-05 Nonparametric Bayesian Image Segmentation in INTERNATIONAL JOURNAL OF COMPUTER VISION
  • 2008 Weakly Supervised Cell Nuclei Detection and Segmentation on Tissue Microarrays of Renal Clear Cell Carcinoma in PATTERN RECOGNITION
  • 2008 Classification of Multi-labeled Data: A Generative Approach in MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
  • 2008 Automatic Detection of Learnability under Unreliable and Sparse User Feedback in PATTERN RECOGNITION
  • 2008 Computational Pathology Analysis of Tissue Microarrays Predicts Survival of Renal Clear Cell Carcinoma Patients in MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION – MICCAI 2008
  • 2007-12 Time-series alignment by non-negative multiple generalized canonical correlation analysis in BMC BIOINFORMATICS
  • 2007 Regularized Data Fusion Improves Image Segmentation in PATTERN RECOGNITION
  • 2007 Kernel-Based Grouping of Histogram Data in MACHINE LEARNING: ECML 2007
  • 2007 Bayesian Order-Adaptive Clustering for Video Segmentation in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2007 Compositional Object Recognition, Segmentation, and Tracking in Video in ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION
  • 2007 Time-Series Alignment by Non-negative Multiple Generalized Canonical Correlation Analysis in APPLICATIONS OF FUZZY SETS THEORY
  • 2006 Learning Compositional Categorization Models in COMPUTER VISION – ECCV 2006
  • 2006 Dense Stereo by Triangular Meshing and Cross Validation in PATTERN RECOGNITION
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