Fripp, J.[Jurgen]
* 2005: 3D Statistical Shape Models to Embed Spatial Relationship Information
* 2006: Automatic Segmentation of the Knee Bones using 3D Active Shape Models
* 2010: Automatic Segmentation and Quantitative Analysis of the Articular Cartilages From Magnetic Resonance Images of the Knee
* 2011: Automated 3D Segmentation and Analysis of Cotton Plants
* 2011: Automated 3D Segmentation of Vertebral Bodies and Intervertebral Discs from MRI
* 2011: Automated MR Hip Bone Segmentation
* 2011: Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models
* 2011: Surface-Base Approach Using a Multi-scale EM-ICP Registration for Statistical Population Analysis
* 2012: Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI
* 2012: Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images
* 2014: Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning
* 2016: 3D Scanning System for Automatic High-Resolution Plant Phenotyping
* 2016: Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants
* 2016: Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain
* 2019: Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis
* 2020: Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis
* 2021: DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction
* 2021: SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation
Includes: Fripp, J.[Jurgen] Fripp, J.
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