Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJurgen Fripp
Jurgen Mejan-Fripp
Person information
- affiliation: University of Queensland, Saint Lucia, Australia
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j37]Alex M. Pagnozzi
, Liza van Eijk, Kerstin Pannek, Roslyn N. Boyd, Susmita Saha, Joanne George, Samudragupta Bora, DanaKai Bradford, Michael Fahey, Michael Ditchfield, Atul Malhotra, Helen G. Liley, Paul B. Colditz, Stephen E. Rose, Jurgen Fripp:
Early brain morphometrics from neonatal MRI predict motor and cognitive outcomes at 2-years corrected age in very preterm infants. NeuroImage 267: 119815 (2023)- [j36]Léonie Borne, Ye Tian, Michelle K. Lupton, Johan N. van der Meer, Jayson Jeganathan, Bryan Paton, Nikitas Koussis, Christine C. Guo, Gail A. Robinson, Jurgen Fripp, Andrew Zalesky, Michael Breakspear:
Functional re-organization of hippocampal-cortical gradients during naturalistic memory processes. NeuroImage 271: 119996 (2023) - [j35]Martin Saint-Jalmes, Victor Fedyashov, Daniel Beck, Timothy Baldwin, Noel G. Faux, Pierrick Bourgeat, Jurgen Fripp, Colin L. Masters, Benjamin Goudey:
Disease progression modelling of Alzheimer's disease using probabilistic principal components analysis. NeuroImage 278: 120279 (2023) - [c83]Léo Lebrat, Rodrigo Santa Cruz, Reuben Dorent, Javier Urriola Yaksic, Alex M. Pagnozzi, Gregg Belous, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Generalization Properties of Geometric 3D Deep Learning Models for Medical Segmentation. ISBI 2023: 1-5 - [c82]Sze-Nung Leung, Jason A. Dowling, Jurgen Fripp, Kai-Kai Shen, Shekhar S. Chandra:
Medical Shape Pattern Analysis with MeshCNN. ISBI 2023: 1-5 - [c81]Filip Rusak, Rodrigo Santa Cruz, Hilda Chourak, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley:
When to Use Augmentation - Variability Insufficient for Cortical Thickness Estimation Improvement. ISBI 2023: 1-5 - [c80]Joshua Peters, Léo Lebrat, Rodrigo Santa Cruz, Aaron Nicolson, Gregg Belous, Salamata Konate, Parnesh Raniga, Vincent Doré, Pierrick Bourgeat, Jurgen Mejan-Fripp, Clinton Fookes, Olivier Salvado:
DBCE : A Saliency Method for Medical Deep Learning Through Anatomically-Consistent Free-Form Deformations. WACV 2023: 1958-1968 - [i9]Zhijian Yang, Junhao Wen, Ahmed Abdulkadir, Yuhan Cui, Güray Erus, Elizabeth Mamourian, Randa Melhem, Dhivya Srinivasan, Sindhuja T. Govindarajan, Jiong Chen, Mohamad Habes, Colin L. Masters, Paul Maruff, Jurgen Fripp, Luigi Ferrucci, Marilyn S. Albert, Sterling C. Johnson, John C. Morris, Pamela LaMontagne, Daniel S. Marcus, Tammie L. S. Benzinger, David A. Wolk, Li Shen, Jingxuan Bao, Susan M. Resnick, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Gene-SGAN: a method for discovering disease subtypes with imaging and genetic signatures via multi-view weakly-supervised deep clustering. CoRR abs/2301.10772 (2023) - 2022
- [j34]Jeryn Chang, Frederik Steyn, Shyuan Ngo, Robert Henderson, Christine Cong Guo, Steffen Bollmann, Jurgen Fripp, Markus Barth, Thomas B. Shaw:
Open-Source Hypothalamic-ForniX (OSHy-X) Atlases and Segmentation Tool for 3T and 7T. J. Open Source Softw. 7(77): 4368 (2022) - [j33]Filip Rusak, Rodrigo Santa Cruz, Léo Lebrat, Ondrej Hlinka, Jurgen Fripp, Elliot Smith, Clinton Fookes, Andrew P. Bradley, Pierrick Bourgeat:
Quantifiable brain atrophy synthesis for benchmarking of cortical thickness estimation methods. Medical Image Anal. 82: 102576 (2022) - [j32]Pierrick Bourgeat, Vincent Doré, Samantha Burnham, Tammie L. S. Benzinger, Duygu Tosun, Shenpeng Li, Manu Goyal, Pamela LaMontagne, Liang Jin, Christopher C. Rowe, Michael W. Weiner, John C. Morris, Colin L. Masters, Jurgen Fripp, Victor L. Villemagne:
β-amyloid PET harmonisation across longitudinal studies: Application to AIBL, ADNI and OASIS3. NeuroImage 262: 119527 (2022) - [c79]Chao Li, Yue Cui, Na Luo, Yong Liu, Pierrick Bourgeat, Jurgen Fripp, Tianzi Jiang:
Trans-ResNet: Integrating Transformers and CNNs for Alzheimer's disease classification. ISBI 2022: 1-5 - [c78]Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley:
Lesser of Two Evils Improves Learning in the Context of Cortical Thickness Estimation Models - Choose Wisely. DALI@MICCAI 2022: 33-42 - [c77]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. MICCAI (5) 2022: 496-505 - [c76]Boyeong Woo, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Anomaly-Aware 3D Segmentation of Knee Magnetic Resonance Images. MIDL 2022: 1360-1374 - [i8]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Deformation Module for Cortical Surface Reconstruction. CoRR abs/2206.02374 (2022) - [i7]Rodrigo Santa Cruz, Léo Lebrat, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow++: Boosting Cortical Surface Reconstruction Accuracy, Regularity, and Interoperability. CoRR abs/2206.06598 (2022) - [i6]Boyeong Woo, Craig Engstrom, William Baresic, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Automated anomaly-aware 3D segmentation of bones and cartilages in knee MR images from the Osteoarthritis Initiative. CoRR abs/2211.16696 (2022) - 2021
- [j31]Pierrick Bourgeat, Vincent Doré, James Doecke, David Ames, Colin L. Masters, Christopher C. Rowe, Jurgen Fripp, Victor L. Villemagne:
Non-negative matrix factorisation improves Centiloid robustness in longitudinal studies. NeuroImage 226: 117593 (2021) - [j30]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation. IEEE Trans. Medical Imaging 40(5): 1417-1427 (2021) - [c75]Salamata Konate, Léo Lebrat, Rodrigo Santa Cruz, Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Andrew P. Bradley, Clinton Fookes, Olivier Salvado:
Smocam: Smooth Conditional Attention Mask For 3d-Regression Models. ISBI 2021: 362-366 - [c74]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going Deeper With Brain Morphometry Using Neural Networks. ISBI 2021: 711-715 - [c73]Jeremy Beaumont, Oscar Acosta, Parnesh Raniga, Giulio Gambarota, Jurgen Fripp:
Towards a generalization of the MP2RAGE partial volume estimation model to account for B1+ inhomogeneities at 7T. ISBI 2021: 1206-1209 - [c72]Filip Rusak, Rodrigo Santa Cruz, Elliot Smith, Jurgen Fripp, Clinton Fookes, Pierrick Bourgeat, Andrew P. Bradley:
Detail Matters: High-Frequency Content for Realistic Synthetic MRI Generation. SASHIMI@MICCAI 2021: 3-13 - [c71]Léo Lebrat, Rodrigo Santa Cruz, Frédéric de Gournay, Darren Fu, Pierrick Bourgeat, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
CorticalFlow: A Diffeomorphic Mesh Transformer Network for Cortical Surface Reconstruction. NeurIPS 2021: 29491-29505 - [c70]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. WACV 2021: 806-815 - 2020
- [j29]Raymond Pomponio, Güray Erus, Mohamad Habes, Jimit Doshi, Dhivya Srinivasan, Elizabeth Mamourian, Vishnu Bashyam, Ilya M. Nasrallah, Theodore D. Satterthwaite, Yong Fan, Lenore J. Launer, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Christos Davatzikos:
Harmonization of large MRI datasets for the analysis of brain imaging patterns throughout the lifespan. NeuroImage 208: 116450 (2020) - [j28]Susmita Saha, Alex M. Pagnozzi, Pierrick Bourgeat, Joanne George, DanaKai Bradford, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek:
Predicting motor outcome in preterm infants from very early brain diffusion MRI using a deep learning convolutional neural network (CNN) model. NeuroImage 215: 116807 (2020) - [j27]Kerstin Pannek, Joanne George, Roslyn N. Boyd, Paul B. Colditz, Stephen E. Rose, Jurgen Fripp:
Brain microstructure and morphology of very preterm-born infants at term equivalent age: Associations with motor and cognitive outcomes at 1 and 2 years. NeuroImage 221: 117163 (2020) - [j26]Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat:
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 39(7): 2339-2350 (2020) - [c69]Matthew Marques, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Fast High Dynamic Range MRI by Contrast Enhancement Networks. ISBI 2020: 1446-1449 - [c68]Filip Rusak, Rodrigo Santa Cruz, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Andrew P. Bradley, Olivier Salvado:
3D Brain MRI GAN-Based Synthesis Conditioned on Partial Volume Maps. SASHIMI@MICCAI 2020: 11-20 - [c67]Biting Yu, Luping Zhou, Lei Wang, Wanqi Yang, Ming Yang, Pierrick Bourgeat, Jurgen Fripp:
Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation. MICCAI (4) 2020: 216-226 - [i5]Siyu Liu, Wei Dai, Craig Engstrom, Jurgen Fripp, Peter B. Greer, Stuart Crozier, Jason A. Dowling, Shekhar S. Chandra:
Fabric Image Representation Encoding Networks for Large-scale 3D Medical Image Analysis. CoRR abs/2006.15578 (2020) - [i4]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Vincent Doré, Jason Dowling, Jurgen Fripp, Clinton Fookes, Olivier Salvado:
Going deeper with brain morphometry using neural networks. CoRR abs/2009.03303 (2020) - [i3]Vishnu M. Bashyam, Jimit Doshi, Güray Erus, Dhivya Srinivasan, Ahmed Abdulkadir, Mohamad Habes, Yong Fan, Colin L. Masters, Paul Maruff, Chuanjun Zhuo, Henry Völzke, Sterling C. Johnson, Jurgen Fripp, Nikolaos Koutsouleris, Theodore D. Satterthwaite, Daniel H. Wolf, Raquel E. Gur, Ruben C. Gur, John C. Morris, Marilyn S. Albert, Hans Jörgen Grabe, Susan M. Resnick, R. Nick Bryan, David A. Wolk, Haochang Shou, Ilya M. Nasrallah, Christos Davatzikos:
Medical Image Harmonization Using Deep Learning Based Canonical Mapping: Toward Robust and Generalizable Learning in Imaging. CoRR abs/2010.05355 (2020) - [i2]Rodrigo Santa Cruz, Léo Lebrat, Pierrick Bourgeat, Clinton Fookes, Jurgen Fripp, Olivier Salvado:
DeepCSR: A 3D Deep Learning Approach for Cortical Surface Reconstruction. CoRR abs/2010.11423 (2020)
2010 – 2019
- 2019
- [j25]Alex M. Pagnozzi, Jurgen Fripp, Stephen E. Rose:
Quantifying deep grey matter atrophy using automated segmentation approaches: A systematic review of structural MRI studies. NeuroImage 201 (2019) - [j24]Thomas B. Shaw, Steffen Bollmann, Nicole T. Atcheson, Lachlan T. Strike, Christine Cong Guo, Katie L. McMahon, Jurgen Fripp, Margaret J. Wright, Olivier Salvado, Markus Barth:
Non-linear realignment improves hippocampus subfield segmentation reliability. NeuroImage 203 (2019) - [j23]Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat:
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis. IEEE Trans. Medical Imaging 38(7): 1750-1762 (2019) - [c66]Jeremy Beaumont, Hervé Saint-Jalmes, Oscar Acosta, Tobias Kober, Mark Tanner, Jean-Christophe Ferré, Olivier Salvado, Jurgen Fripp, Giulio Gambarota:
High Contrast T1-Weigthed Mri with Fluid and White Matter Suppression Using Mp2Rage. ISBI 2019: 701-704 - [c65]Xingjuan Li, Samantha Burnham, Jurgen Fripp, Yu Li, Xue Li, Amir Fazlollahi, Pierrick Bourgeat:
Identification of Functional Connectivity Features in Depression Subtypes Using a Data-Driven Approach. GLMI@MICCAI 2019: 96-103 - 2018
- [j22]José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Patricia M. Desmond, Jurgen Fripp, Olivier Salvado:
MRI white matter lesion segmentation using an ensemble of neural networks and overcomplete patch-based voting. Comput. Medical Imaging Graph. 69: 43-51 (2018) - [j21]Shekhar S. Chandra, Jason A. Dowling, Craig Engstrom, Ying Xia, Anthony Paproki, Ales Neubert, David Rivest-Hénault, Olivier Salvado, Stuart Crozier, Jurgen Fripp:
A lightweight rapid application development framework for biomedical image analysis. Comput. Methods Programs Biomed. 164: 193-205 (2018) - [j20]Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, David Ames, Colin L. Masters, Olivier Salvado, Victor L. Villemagne, Christopher C. Rowe:
Implementing the centiloid transformation for 11C-PiB and β-amyloid 18F-PET tracers using CapAIBL. NeuroImage 183: 387-393 (2018) - [c64]Biting Yu, Luping Zhou, Lei Wang, Jurgen Fripp, Pierrick Bourgeat:
3D cGAN based cross-modality MR image synthesis for brain tumor segmentation. ISBI 2018: 626-630 - [c63]Saba Momeni, Amir Fazlollahi, Pierrick Bourgeat, Parnesh Raniga, Paul A. Yates, Nawaf Yassi, Patricia M. Desmond, Jurgen Fripp, Yongsheng Gao, Olivier Salvado:
Data Augmentation Using Synthetic Lesions Improves Machine Learning Detection of Microbleeds from MRI. SASHIMI@MICCAI 2018: 12-19 - [c62]Lee B. Reid, Ashley Gillman, Alex M. Pagnozzi, José V. Manjón, Jurgen Fripp:
MRI Denoising and Artefact Removal Using Self-Organizing Maps for Fast Global Block-Matching. Patch-MI@MICCAI 2018: 20-27 - [c61]Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Ibrahima Diouf, Parnesh Raniga, Jurgen Fripp, James Doecke, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado:
A Framework to Objectively Identify Reference Regions for Normalizing Quantitative Imaging. MICCAI (1) 2018: 65-72 - [c60]Susmita Saha, Alex M. Pagnozzi, Joanne George, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose, Jurgen Fripp, Kerstin Pannek:
Investigating Brain Age Deviation in Preterm Infants: A Deep Learning Approach. DATRA/PIPPI@MICCAI 2018: 87-96 - 2017
- [j19]Guoyan Zheng, Chengwen Chu, Daniel L. Belavy, Bulat Ibragimov, Robert Korez, Tomaz Vrtovec, Hugo Hutt, Richard M. Everson, Judith Meakin, Isabel Lopez Andrade, Ben Glocker, Hao Chen, Qi Dou, Pheng-Ann Heng, Chunliang Wang, Daniel Forsberg, Ales Neubert, Jurgen Fripp, Martin Urschler, Darko Stern, Maria Wimmer:
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge. Medical Image Anal. 35: 327-344 (2017) - [c59]Amir Fazlollahi, Scott Ayton, Pierrick Bourgeat, Parnesh Raniga, Amanda Ng, Jurgen Fripp, David Ames, Colin L. Masters, Christopher C. Rowe, Victor L. Villemagne, Ashley I. Bush, Olivier Salvado:
A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. ISBI 2017: 97-100 - [c58]Kai-Kai Shen, Jurgen Fripp, Kerstin Pannek, Joanne George, Paul B. Colditz, Roslyn N. Boyd, Stephen E. Rose:
A spatio-temporal atlas of neonatal diffusion MRI based on kernel ridge regression. ISBI 2017: 126-129 - [c57]Ying Xia, José V. Manjón, Craig Engstrom, Stuart Crozier, Olivier Salvado, Jurgen Fripp:
Automated cartilage segmentation from 3D MR images of hip joint using an ensemble of neural networks. ISBI 2017: 1070-1073 - [c56]Pierrick Bourgeat, Victor L. Villemagne, Vincent Doré, Colin L. Masters, David Ames, Christopher C. Rowe, Olivier Salvado, Jurgen Fripp:
PET-only 18F-AV1451 tau quantification. ISBI 2017: 1173-1176 - [i1]Chuong V. Nguyen, Jurgen Fripp, David R. Lovell, Robert Furbank, Peter Kuffner, Helen Daily, Xavier Sirault:
3D Scanning System for Automatic High-Resolution Plant Phenotyping. CoRR abs/1702.08112 (2017) - 2016
- [j18]Jhimli Mitra, Kai-Kai Shen, Soumya Ghose, Pierrick Bourgeat, Jurgen Fripp, Olivier Salvado, Kerstin Pannek, D. Jamie Taylor, Jane L. Mathias, Stephen E. Rose:
Statistical machine learning to identify traumatic brain injury (TBI) from structural disconnections of white matter networks. NeuroImage 129: 247-259 (2016) - [c55]Amy Chan, Ian A. Wood, Jurgen Fripp:
Maximum Pseudolikelihood Estimation for Mixture-Markov Random Field Segmentation of the Brain. DICTA 2016: 1-7 - [c54]Kirill Frolov, Jurgen Fripp, Chuong V. Nguyen, Robert Furbank, Geoff Bull, Peter Kuffner, Helen Daily, Xavier Sirault:
Automated Plant and Leaf Separation: Application in 3D Meshes of Wheat Plants. DICTA 2016: 1-7 - [c53]Chuong V. Nguyen, Jurgen Fripp, David R. Lovell, Robert Furbank, Peter Kuffner, Helen Daily, Xavier Sirault:
3D Scanning System for Automatic High-Resolution Plant Phenotyping. DICTA 2016: 1-8 - [c52]Anthony Paproki, Katharine J. Wilson, Rachel K. Surowiec, Charles P. Ho, Abinash Pant, Pierrick Bourgeat, Craig Engstrom, Stuart Crozier, Jurgen Fripp:
Automated segmentation and T2-mapping of the posterior cruciate ligament from MRI of the knee: Data from the osteoarthritis initiative. ISBI 2016: 424-427 - [c51]Ales Neubert, Ibrahim Naser, Anthony Paproki, Craig Engstrom, Jurgen Fripp, Stuart Crozier, Shekhar S. Chandra:
Incremental shape learning of 3D surfaces of the knee, data from the osteoarthritis initiative. ISBI 2016: 881-884 - [c50]Jhimli Mitra, Soumya Ghose, Pierrick Bourgeat, Jurgen Fripp, Jane L. Mathias, Stephen E. Rose, Olivier Salvado:
Anatomical hubs from spectral clustering of structural connectomes. ISBI 2016: 894-897 - [c49]José V. Manjón, Pierrick Coupé, Parnesh Raniga, Ying Xia, Jurgen Fripp, Olivier Salvado:
HIST: HyperIntensity Segmentation Tool. Patch-MI@MICCAI 2016: 92-99 - [c48]Vincent Doré, Pierrick Bourgeat, Victor L. Villemagne, Jurgen Fripp, Lance S. Macaulay, Colin L. Masters, David Ames, Christopher Rowe, Olivier Salvado:
CapAIBL: Automated Reporting of Cortical PET Quantification Without Need of MRI on Brain Surface Using a Patch-Based Method. Patch-MI@MICCAI 2016: 109-116 - 2015
- [j17]Ales Neubert, Jurgen Fripp, Craig Engstrom, Daniel Schwarz, Marc-André Weber, Stuart Crozier:
Statistical shape model reconstruction with sparse anomalous deformations: Application to intervertebral disc herniation. Comput. Medical Imaging Graph. 46: 11-19 (2015) - [j16]David Rivest-Hénault, Nicholas D. H. Dowson, Peter B. Greer, Jurgen Fripp, Jason A. Dowling:
Robust inverse-consistent affine CT-MR registration in MRI-assisted and MRI-alone prostate radiation therapy. Medical Image Anal. 23(1): 56-69 (2015) - [j15]David M. Cash, Chris Frost, Leonardo O. Iheme, Devrim Ünay, Melek Kandemir, Jurgen Fripp, Olivier Salvado, Pierrick Bourgeat, Martin Reuter, Bruce Fischl, Marco Lorenzi, Giovanni B. Frisoni, Xavier Pennec, Ronald K. Pierson, Jeffrey L. Gunter, Matthew L. Senjem, Clifford R. Jack Jr., Nicolas Guizard, Vladimir S. Fonov, D. Louis Collins, Marc Modat, M. Jorge Cardoso, Kelvin K. Leung, Hongzhi Wang, Sandhitsu R. Das, Paul A. Yushkevich, Ian B. Malone, Nick C. Fox, Jonathan M. Schott, Sébastien Ourselin:
Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage 123: 149-164 (2015) - [j14]Jincheng Pang, Jeffrey B. Driban, Timothy E. McAlindon, José G. Tamez-Peña, Jurgen Fripp, Eric L. Miller:
On the Use of Coupled Shape Priors for Segmentation of Magnetic Resonance Images of the Knee. IEEE J. Biomed. Health Informatics 19(3): 1153-1167 (2015) - [c47]Ales Neubert, Jurgen Fripp, Shekhar S. Chandra, Craig Engstrom, Stuart Crozier:
Automated Intervertebral Disc Segmentation Using Probabilistic Shape Estimation and Active Shape Models. CSI@MICCAI 2015: 150-158 - [c46]Mohammad Ali Armin, Girija Chetty, Jurgen Fripp, Hans de Visser, Cédric Dumas, Amir Fazlollahi, Florian Grimpen, Olivier Salvado:
Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features. CARE@MICCAI 2015: 153-162 - [c45]Kai-Kai Shen, Vincent Doré, Stephen E. Rose, Jurgen Fripp, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Paul M. Thompson, Margaret J. Wright, Olivier Salvado:
Heritability analysis of surface-based cortical thickness estimation on a large twin cohort. Medical Imaging: Image Processing 2015: 94131Z - [c44]Pierrick Bourgeat, Vincent Doré, Jurgen Fripp, Victor L. Villemagne, Christopher Rowe, Olivier Salvado:
Computational analysis of PET by AIBL (CapAIBL): a cloud-based processing pipeline for the quantification of PET images. Medical Imaging: Image Processing 2015: 94132V - 2014
- [j13]Shekhar S. Chandra, Ying Xia, Craig Engstrom, Stuart Crozier, Raphael Schwarz, Jurgen Fripp:
Focused shape models for hip joint segmentation in 3D magnetic resonance images. Medical Image Anal. 18(3): 567-578 (2014) - [j12]Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp, Soumya Ghose, Stephen E. Rose, Olivier Salvado, Alan Connelly, Bruce Campbell, Susan Palmer, Gagan Sharma, Soren Christensen, Leeanne Carey:
Lesion segmentation from multimodal MRI using random forest following ischemic stroke. NeuroImage 98: 324-335 (2014) - [j11]Kai-Kai Shen, Stephen E. Rose, Jurgen Fripp, Katie L. McMahon, Greig I. de Zubicaray, Nicholas G. Martin, Paul M. Thompson, Margaret J. Wright, Olivier Salvado:
Investigating brain connectivity heritability in a twin study using diffusion imaging data. NeuroImage 100: 628-641 (2014) - [c43]David Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer, Jurgen Fripp, Jason A. Dowling:
Fast Multiatlas Selection Using Composition of Transformations for Radiation Therapy Planning. MCV 2014: 105-115 - 2013
- [j10]Pierrick Bourgeat, Vincent Doré, Victor Villemagne, Christopher Rowe, Olivier Salvado, Jurgen Fripp:
Research and applications: MilxXplore: a web-based system to explore large imaging datasets. J. Am. Medical Informatics Assoc. 20(6): 1046-1052 (2013) - [j9]Ales Neubert, Jurgen Fripp, Craig Engstrom, Duncan Walker, Marc-André Weber, Raphael Schwarz, Stuart Crozier:
Research and applications: Three-dimensional morphological and signal intensity features for detection of intervertebral disc degeneration from magnetic resonance images. J. Am. Medical Informatics Assoc. 20(6): 1082-1090 (2013) - [c42]David Rivest-Hénault, Peter B. Greer, Jurgen Fripp, Jason Dowling:
Structure-Guided Nonrigid Registration of CT-MR Pelvis Scans with Large Deformations in MR-Based Image Guided Radiation Therapy. CLIP 2013: 65-73 - [c41]Jhimli Mitra, Pierrick Bourgeat, Jurgen Fripp, Soumya Ghose, Stephen E. Rose, Olivier Salvado, Alan Connelly, Bruce Campbell, Susan Palmer, Gagan Sharma, Soren Christensen, Leeanne Carey:
Classification Forests and Markov Random Field to Segment Chronic Ischemic Infarcts from Multimodal MRI. MBIA 2013: 107-118 - 2012
- [j8]Ales Neubert, Olivier Salvado, Oscar Acosta, Pierrick Bourgeat, Jurgen Fripp:
Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images. Comput. Medical Imaging Graph. 36(2): 130-138 (2012) - [j7]Kai-Kai Shen, Jurgen Fripp, Fabrice Mériaudeau, Gaël Chételat, Olivier Salvado, Pierrick Bourgeat:
Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models. NeuroImage 59(3): 2155-2166 (2012) - [j6]Shekhar S. Chandra, Jason Dowling, Kai-Kai Shen, Parnesh Raniga, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp:
Patient Specific Prostate Segmentation in 3-D Magnetic Resonance Images. IEEE Trans. Medical Imaging 31(10): 1955-1964 (2012) - [c40]Zhengyi Yang, Stuart Crozier, Craig Engstrom, Raphael Schwarz, Lars Lauer, Jurgen Fripp, Shekhar Chandra, Ying Xia, Ales Neubert, Olivier Salvado, Tania Brancato:
Morphology-Based Interslice Interpolation on Manual Segmentations of Joint Bones and Muscles in MRI. DICTA 2012: 1-8 - [c39]Jean-Baptiste Fiot, Jurgen Fripp, Laurent D. Cohen:
Combining imaging and clinical data in manifold learning: Distance-based and graph-based extensions of Laplacian Eigenmaps. ISBI 2012: 570-573 - [c38]Shekhar Chandra, Ying Xia, Craig Engstrom, Raphael Schwarz, Lars Lauer, Stuart Crozier, Olivier Salvado, Jurgen Fripp:
Unilateral hip joint segmentation with shape priors learned from missing data. ISBI 2012: 1711-1714 - [c37]Jean-Baptiste Fiot, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard:
Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer's Longitudinal Population Analysis. STIA 2012: 13-24 - [c36]Luping Zhou, Olivier Salvado, Vincent Doré, Pierrick Bourgeat, Parnesh Raniga, Victor Villemagne, Christopher Rowe, Jurgen Fripp:
MR-Less Surface-Based Amyloid Estimation by Subject-Specific Atlas Selection and Bayesian Fusion. MICCAI (2) 2012: 220-227 - [c35]Kai-Kai Shen, Pierrick Bourgeat, Jurgen Fripp, Fabrice Mériaudeau, Olivier Salvado:
Consistent estimation of shape parameters in statistical shape model by symmetric EM algorithm. Medical Imaging: Image Processing 2012: 83140R - [c34]Vincent Doré, Pierrick Bourgeat, Jurgen Fripp, Oscar Acosta, Gaël Chételat, Cassandra Szoeke, Kathryn A. Ellis, Ralph N. Martins, Victor Villemagne, Colin L. Masters, David Ames, Christopher Rowe, Olivier Salvado:
A surface based approach for cortical thickness comparison between PiB+ and PiB- healthy control subjects. Medical Imaging: Image Processing 2012: 831413 - 2011
- [j5]David Raffelt, Jacques-Donald Tournier, Jurgen Fripp, Stuart Crozier, Alan Connelly, Olivier Salvado:
Symmetric diffeomorphic registration of fibre orientation distributions. NeuroImage 56(3): 1171-1180 (2011) - [c33]Shekhar Chandra, Jason Dowling, Kai-Kai Shen, Josien P. W. Pluim, Peter B. Greer, Olivier Salvado, Jurgen Fripp:
Automatic Segmentation of the Prostate in 3D Magnetic Resonance Images Using Case Specific Deformable Models. DICTA 2011: 7-12 - [c32]Vincent Doré, Jurgen Fripp, Pierrick Bourgeat, Kai-Kai Shen, Olivier Salvado, Oscar Acosta:
Surface-Base Approach Using a Multi-scale EM-ICP Registration for Statistical Population Analysis. DICTA 2011: 13-18 - [c31]Ales Neubert, Jurgen Fripp, Kai-Kai Shen, Olivier Salvado, Raphael Schwarz, Lars Lauer, Craig Engstrom, Stuart Crozier:
Automated 3D Segmentation of Vertebral Bodies and Intervertebral Discs from MRI. DICTA 2011: 19-24 - [c30]Ying Xia, Shakes Chandra, Olivier Salvado, Jurgen Fripp, Raphael Schwarz, Lars Lauer, Craig Engstrom, Stuart Crozier:
Automated MR Hip Bone Segmentation. DICTA 2011: 25-30 - [c29]Anthony Paproki, Jurgen Fripp, Olivier Salvado, Xavier Sirault, Scott Berry, Robert Furbank:
Automated 3D Segmentation and Analysis of Cotton Plants. DICTA 2011: 555-560 - [c28]