Ipek Oguz

According to our database, Ipek Oguz authored at least 85 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation.

Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, M. Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

Medical Image Anal., 2023

Novel OCT mosaicking pipeline with Feature- and Pixel-based registration.

Jiacheng Wang, Hao Li, Dewei Hu, Yuankai K. Tao, Ipek Oguz

CoRR, 2023

Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation.

Han Liu, Yubo Fan, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz

CoRR, 2023

Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz

CoRR, 2023

Promise: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz

CoRR, 2023

False Negative/Positive Control for SAM on Noisy Medical Images.

Xing Yao, Han Liu, Dewei Hu, Daiwei Lu, Ange Lou, Hao Li, Ruining Deng, Gabriel Arenas, Baris U. Oguz, Nadav Schwartz, Brett C. Byram, Ipek Oguz

CoRR, 2023

CATS v2: Hybrid encoders for robust medical segmentation.

Hao Li, Han Liu, Dewei Hu, Xing Yao, Jiacheng Wang, Ipek Oguz

CoRR, 2023

VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation.

Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz

CoRR, 2023

COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training.

Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic

CoRR, 2023

Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses.

Jiacheng Wang, Kathleen E. Larson, Ipek Oguz

CoRR, 2023

SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI.

Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz

CoRR, 2023

Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection.

Yue Liu, Shunxing Bao, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu

Comput. Biol. Medicine, 2023

Domain generalization for robust MS lesion segmentation.

Huahong Zhang, Hao Li, Kathleen E. Larson, Kilian Hett, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Novel application of the attention mechanism on medical image harmonization.

Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu, Han Liu, Jiacheng Wang, Zachary A. Stoebner, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Deep angiogram: trivializing retinal vessel segmentation.

Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI.

Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz

Proceedings of the Medical Imaging 2023: Image Processing, 2023

Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses.

Jiacheng Wang, Kathleen E. Larson, Ipek Oguz

Proceedings of the Medical Imaging with Deep Learning, 2023

COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation.

Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities.

Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

2022

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.

Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Ipek Oguz

CoRR, 2022

CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation.

Reuben Dorent, Aaron Kujawa, Marina Ivory, Spyridon Bakas, Nicola Rieke, Samuel Joutard, Ben Glocker, Jorge Cardoso, Marc Modat, Kayhan Batmanghelich, Arseniy Belkov, Maria G. Baldeon Calisto, Jae Won Choi, Benoit M. Dawant, Hexin Dong, Sergio Escalera, Yubo Fan, Lasse Hansen, Mattias P. Heinrich, Smriti Joshi, Victoriya Kashtanova, Hyeongyu Kim, Satoshi Kondo, Christian N. Kruse, Susana K. Lai-Yuen, Hao Li, Han Liu, Buntheng Ly, Ipek Oguz, Hyungseob Shin, Boris Shirokikh, Zixian Su, Guotai Wang, Jianghao Wu, Yanwu Xu, Kai Yao, Li Zhang, Sébastien Ourselin, Jonathan Shapey, Tom Vercauteren

CoRR, 2022

Segmentation of kidney stones in endoscopic video feeds.

Zachary A. Stoebner, Daiwei Lu, Seok Hee Hong, Nicholas L. Kavoussi, Ipek Oguz

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Human brain extraction with deep learning.

Hao Li, Qibang Zhu, Dewei Hu, Manasvi R. Gunnala, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Unsupervised denoising of retinal OCT with diffusion probabilistic model.

Dewei Hu, Yuankai K. Tao, Ipek Oguz

Proceedings of the Medical Imaging 2022: Image Processing, 2022

Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer.

Dewei Hu, Hao Li, Han Liu, Ipek Oguz

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2022

ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities.

Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Self-supervised Test-Time Adaptation for Medical Image Segmentation.

Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Machine Learning in Clinical Neuroimaging - 5th International Workshop, 2022

Acoustic neuroma segmentation using ensembled convolutional neural networks.

Qibang Zhu, Hao Li, Nathan D. Cass, Nathan R. Lindquist, Kareem O. Tawfik, Ipek Oguz

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Cats: Complementary CNN and Transformer Encoders for Segmentation.

Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Enhancing Data Diversity for Self-training Based Unsupervised Cross-Modality Vestibular Schwannoma and Cochlea Segmentation.

Han Liu, Yubo Fan, Ipek Oguz, Benoit M. Dawant

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2022

2021

Multi-scale graph-based grading for Alzheimer's disease prediction.

Kilian Hett, Vinh-Thong Ta, Ipek Oguz, José V. Manjón, Pierrick Coupé

Medical Image Anal., 2021

MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs.

Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Longitudinal subcortical segmentation with deep learning.

Hao Li, Huahong Zhang, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Synthetic atrophy for longitudinal surface-based cortical thickness measurement.

Kathleen E. Larson, Ipek Oguz

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy.

Yue Liu, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu

Proceedings of the Medical Imaging 2021: Image Processing, Online, February 15-19, 2021, 2021

LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation.

Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Unsupervised Cross-modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble.

Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson, Huahong Zhang, Ipek Oguz

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2021

2020

Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis (Conference Presentation).

Kathryn Ufford, Simon N. Vandekar, Ipek Oguz

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Self-fusion for OCT noise reduction.

Ipek Oguz, Joseph D. Malone, Yigit Atay, Yuankai K. Tao

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Robust Multiple Sclerosis Lesion Inpainting with Edge Prior.

Huahong Zhang, Rohit Bakshi, Francesca Bagnato, Ipek Oguz

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Generalizing MRI Subcortical Segmentation to Neurodegeneration.

Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson, Jeffrey D. Long, Jane S. Paulsen, Ipek Oguz

Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Retinal OCT Denoising with Pseudo-Multimodal Fusion Network.

Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz

Proceedings of the Ophthalmic Medical Image Analysis - 7th International Workshop, 2020

Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease.

Kilian Hett, Rémi Giraud, Hans J. Johnson, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound.

Alison M. Pouch, Paul A. Yushkevich, Abdullah H. Aly, Alexander H. F. Woltersom, Edidiong Okon, Ahmed H. Aly, Natalie Yushkevich, Shobhana Parameshwaran, Jiancong Wang, Baris U. Oguz, James C. Gee, Ipek Oguz, Nadav Schwartz

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease.

Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods.

Huahong Zhang, Ipek Oguz

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2020

2019

User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP.

Paul A. Yushkevich, Artem Pashchinskiy, Ipek Oguz, Suyash Mohan, J. Eric Schmitt, Joel M. Stein, Dzenan Zukic, Jared Vicory, Matthew McCormick, Natalie Yushkevich, Nadav Schwartz, Yang Gao, Guido Gerig

Neuroinformatics, 2019

Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track.

M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren

CoRR, 2019

Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices.

Huahong Zhang, Alessandra M. Valcarcel, Rohit Bakshi, Renxin Chu, Francesca Bagnato, Russell T. Shinohara, Kilian Hett, Ipek Oguz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS.

Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich, Nadav Schwartz, Ipek Oguz

Proceedings of the Data Driven Treatment Response Assessment - and - Preterm, Perinatal, and Paediatric Image Analysis, 2018

2017

Machine learning in a graph framework for subcortical segmentation.

Zhihui Guo, Satyananda Kashyap, Milan Sonka, Ipek Oguz

Proceedings of the Medical Imaging 2017: Image Processing, 2017

Gradient Boosted Trees for Corrective Learning.

Baris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich, Ipek Oguz

Proceedings of the Machine Learning in Medical Imaging - 8th International Workshop, 2017

Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation.

Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Jerry L. Prince

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation.

Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul A. Yushkevich, Russell T. Shinohara, Ipek Oguz

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2017

Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion.

Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter A. Calabresi, Russell T. Shinohara, Paul A. Yushkevich

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks.

Min Chen, Jiancong Wang, Ipek Oguz, Brian L. Vanderbeek, James C. Gee

Proceedings of the Fetal, Infant and Ophthalmic Medical Image Analysis, 2017

Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS).

Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Entropy-based particle correspondence for shape populations.

Ipek Oguz, Joshua E. Cates, Manasi Datar, Beatriz Paniagua, P. Thomas Fletcher, Clement Vachet, Martin Styner, Ross T. Whitaker

Int. J. Comput. Assist. Radiol. Surg., 2016

Optimal retinal cyst segmentation from OCT images.

Ipek Oguz, Li Zhang, Michael D. Abràmoff, Milan Sonka

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation.

Joohwi Lee, Sun Hyung Kim, Ipek Oguz, Martin Styner

Proceedings of the Medical Imaging 2016: Image Processing, 2016

Globally Optimal Label Fusion with Shape Priors.

Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich, Milan Sonka

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative.

Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative.

Satyananda Kashyap, Ipek Oguz, Milan Sonka

Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015

LOGISMOS-B for primates: primate cortical surface reconstruction and thickness measurement.

Ipek Oguz, Martin Styner, Mar Sanchez, Yundi Shi, Milan Sonka

Proceedings of the Medical Imaging 2015: Image Processing, 2015

2014

LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain.

Ipek Oguz, Milan Sonka

IEEE Trans. Medical Imaging, 2014

Tree-Oriented Analysis of Brain Artery Structure.

Sean Skwerer, Elizabeth Bullitt, Stephan Huckemann, Ezra Miller, Ipek Oguz, Megan Owen, Vic Patrangenaru, J. Scott Provan, J. S. Marron

J. Math. Imaging Vis., 2014

DTIPrep: quality control of diffusion-weighted images.

Ipek Oguz, Mahshid Farzinfar, Joy T. Matsui, François Budin, Zhexing Liu, Guido Gerig, Hans J. Johnson, Martin Andreas Styner

Frontiers Neuroinformatics, 2014

Robust Cortical Thickness Measurement with LOGISMOS-B.

Ipek Oguz, Milan Sonka

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013

Diffusion imaging quality control via entropy of principal direction distribution.

Mahshid Farzinfar, Ipek Oguz, Rachel Gimpel Smith, Audrey R. Verde, Cheryl Dietrich, Aditya Gupta, Maria L. Escolar, Joseph Piven, Sonia Pujol, Clement Vachet, Sylvain Gouttard, Guido Gerig, Stephen Dager, Robert C. McKinstry, Sarah Paterson, Alan C. Evans, Martin Andreas Styner

NeuroImage, 2013

A midas plugin to enable construction of reproducible web-based image processing pipelines.

Michael Grauer, Patrick Reynolds, Marion Hoogstoel, François Budin, Martin Andreas Styner, Ipek Oguz

Frontiers Neuroinformatics, 2013

Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics.

François Budin, Marion Hoogstoel, Patrick Reynolds, Michael Grauer, Shonagh K. O'Leary-Moore, Ipek Oguz

Frontiers Neuroinformatics, 2013

DTI quality control assessment via error estimation from Monte Carlo simulations.

Mahshid Farzinfar, Yin Li, Audrey R. Verde, Ipek Oguz, Guido Gerig, Martin A. Styner

Proceedings of the Medical Imaging 2013: Image Processing, 2013

Particle-Guided Image Registration.

Joohwi Lee, Ilwoo Lyu, Ipek Oguz, Martin Andreas Styner

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2013, 2013

2011

Group-wise automatic mesh-based analysis of cortical thickness.

Clement Vachet, Heather Cody Hazlett, Marc Niethammer, Ipek Oguz, Joshua E. Cates, Ross T. Whitaker, Joseph Piven, Martin Styner

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic skull-stripping of rat MRI/DTI scans and atlas building.

Ipek Oguz, Joohwi Lee, François Budin, Ashley Rumple, Matthew McMurray, Cindy Ehlers, Fulton Crews, Josephine Johns, Martin Styner

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Automatic cortical thickness analysis on rodent brain.

Joohwi Lee, Cindy Ehlers, Fulton Crews, Marc Niethammer, François Budin, Beatriz Paniagua, Kathy Sulik, Josephine Johns, Martin Styner, Ipek Oguz

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Efficient, graph-based white matter connectivity from orientation distribution functions via multi-directional graph propagation.

Alexis Boucharin, Ipek Oguz, Clement Vachet, Yundi Shi, Mar Sanchez, Martin Styner

Proceedings of the Medical Imaging 2011: Image Processing, 2011

Mandibular asymmetry characterization using generalized tensor-based morphometry.

Beatriz Paniagua, Abeer Alhadidi, Lucia H. S. Cevidanes, Martin Styner, Ipek Oguz

Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

2010

Shape-correlated deformation statistics for respiratory motion prediction in 4D lung.

Xiaoxiao Liu, Ipek Oguz, Stephen M. Pizer, Gig S. Mageras

Proceedings of the Medical Imaging 2010: Visualization, 2010

2009

Cortical Correspondence with Probabilistic Fiber Connectivity.

Ipek Oguz, Marc Niethammer, Joshua E. Cates, Ross T. Whitaker, P. Thomas Fletcher, Clement Vachet, Martin Styner

Proceedings of the Information Processing in Medical Imaging, 2009

2008

Minimum description length with local geometry.

Martin Styner, Ipek Oguz, Tobias Heimann, Guido Gerig

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

Cortical correspondence using entropy-based particle systems and local features.

Ipek Oguz, Joshua E. Cates, P. Thomas Fletcher, Ross T. Whitaker, Derek Cool, Stephen R. Aylward, Martin Andreas Styner

Proceedings of the 2008 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008

2007

Finite volume flow simulations on arbitrary domains.

Jeremy D. Wendt, William V. Baxter III, Ipek Oguz, Ming C. Lin

Graph. Model., 2007

Statistical group differences in anatomical shape analysis using Hotelling T2 metric.

Martin Styner, Ipek Oguz, Shun Xu, Dimitrios Pantazis, Guido Gerig

Proceedings of the Medical Imaging 2007: Image Processing, 2007

2005

Corpus Callosum Subdivision Based on a Probabilistic Model of Inter-hemispheric Connectivity.

Martin Andreas Styner, Ipek Oguz, Rachel Gimpel Smith, Carissa Cascio, Matthieu Jomier

Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2005