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Ipek Oguz
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2020 – today
- 2024
- [j14]Dewei Hu
, Hao Li
Domain generalization for retinal vessel segmentation via Hessian-based vector field. Medical Image Anal. 95: 103164 (2024) - [j13]Han Liu
COSST: Multi-Organ Segmentation With Partially Labeled Datasets Using Comprehensive Supervisions and Self-Training. IEEE Trans. Medical Imaging 43(5): 1995-2009 (2024) - [c66]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
Promise: Prompt-Driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models. ISBI 2024: 1-5 - [c65]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts. ISBI 2024: 1-5 - [c64]Jiacheng Wang, Hao Li, Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Novel OCT Mosaicking Pipeline with Feature-And Pixel-Based Registration. ISBI 2024: 1-5 - [c63]Dewei Hu, Hao Li, Han Liu, Jiacheng Wang, Xing Yao, Daiwei Lu, Ipek Oguz:
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation. SASHIMI@MICCAI 2024: 13-23 - [c62]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound Images. ASMUS@MICCAI 2024: 132-142 - [c61]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts. MICCAI (3) 2024: 389-399 - [i33]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
PRISM: A Promptable and Robust Interactive Segmentation Model with Visual Prompts. CoRR abs/2404.15028 (2024) - [i32]Han Liu, Hao Li, Jiacheng Wang, Yubo Fan, Zhoubing Xu, Ipek Oguz:
Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge. CoRR abs/2406.15716 (2024) - [i31]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images. CoRR abs/2407.08020 (2024) - [i30]Jiacheng Wang, Hao Li, Dewei Hu, Rui Xu, Xing Yao, Yuankai K. Tao, Ipek Oguz:
Retinal IPA: Iterative KeyPoints Alignment for Multimodal Retinal Imaging. CoRR abs/2407.18362 (2024) - [i29]Hao Li, Han Liu, Heinrich von Busch, Robert Grimm, Henkjan Huisman, Angela Tong, David J. Winkel, Tobias Penzkofer, Ivan Shabunin, Moon Hyung Choi, Qingsong Yang, Dieter Szolar, Steven Shea, Fergus Coakley, Mukesh Harisinghani, Ipek Oguz, Dorin Comaniciu, Ali Kamen, Bin Lou:
Deep Learning-based Unsupervised Domain Adaptation via a Unified Model for Prostate Lesion Detection Using Multisite Bi-parametric MRI Datasets. CoRR abs/2408.04777 (2024) - [i28]Hao Li, Baris U. Oguz, Gabriel Arenas, Xing Yao, Jiacheng Wang, Alison M. Pouch, Brett C. Byram, Nadav Schwartz, Ipek Oguz:
PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound. CoRR abs/2408.05372 (2024) - [i27]Dewei Hu, Hao Li, Han Liu, Jiacheng Wang, Xing Yao, Daiwei Lu, Ipek Oguz:
AdaptDiff: Cross-Modality Domain Adaptation via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation. CoRR abs/2410.04648 (2024) - 2023
- [j12]Yue Liu
Hierarchical particle optimization for cortical shape correspondence in temporal lobe resection. Comput. Biol. Medicine 152: 106414 (2023) - [j11]Reuben Dorent
CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation. Medical Image Anal. 83: 102628 (2023) - [c60]Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz:
COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation. MICCAI (2) 2023: 25-34 - [c59]Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 182-192 - [c58]Jiacheng Wang, Kathleen E. Larson, Ipek Oguz:
Self-Supervised CSF Inpainting for Improved Accuracy Validation of Cortical Surface Analyses. MIDL 2023: 170-189 - [c57]Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu
SSL2: self-supervised learning meets semi-supervised learning: multiple sclerosis segmentation in 7T-MRI from large-scale 3T-MRI. Medical Imaging: Image Processing 2023 - [c56]Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz:
Deep angiogram: trivializing retinal vessel segmentation. Medical Imaging: Image Processing 2023 - [c55]Xing Yao, Ange Lou, Hao Li, Dewei Hu, Daiwei Lu
Novel application of the attention mechanism on medical image harmonization. Medical Imaging: Image Processing 2023 - [c54]Huahong Zhang, Hao Li, Kathleen E. Larson
Domain generalization for robust MS lesion segmentation. Medical Imaging: Image Processing 2023 - [e5]Ipek Oguz, Jack H. Noble, Xiaoxiao Li, Martin Styner, Christian Baumgartner, Mirabela Rusu, Tobias Heimann, Despina Kontos, Bennett A. Landman, Benoit M. Dawant:
Medical Imaging with Deep Learning, MIDL 2023, 10-12 July 2023, Nashville, TN, USA. Proceedings of Machine Learning Research 227, PMLR 2023 [contents] - [i26]Jiacheng Wang, Hao Li, Han Liu, Dewei Hu, Daiwei Lu, Keejin Yoon, Kelsey Barter, Francesca Bagnato, Ipek Oguz:
SSL^2: Self-Supervised Learning meets Semi-Supervised Learning: Multiple Sclerosis Segmentation in 7T-MRI from large-scale 3T-MRI. CoRR abs/2303.05026 (2023) - [i25]Jiacheng Wang, Kathleen E. Larson
Self-Supervised CSF Inpainting with Synthetic Atrophy for Improved Accuracy Validation of Cortical Surface Analyses. CoRR abs/2303.05777 (2023) - [i24]Han Liu, Zhoubing Xu, Riqiang Gao, Hao Li, Jianing Wang, Guillaume Chabin, Ipek Oguz, Sasa Grbic:
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training. CoRR abs/2304.14030 (2023) - [i23]Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
VesselMorph: Domain-Generalized Retinal Vessel Segmentation via Shape-Aware Representation. CoRR abs/2307.00240 (2023) - [i22]Dewei Hu, Xing Yao, Jiacheng Wang, Yuankai K. Tao, Ipek Oguz:
Deep Angiogram: Trivializing Retinal Vessel Segmentation. CoRR abs/2307.00245 (2023) - [i21]Han Liu, Hao Li, Xing Yao, Yubo Fan, Dewei Hu, Benoit M. Dawant, Vishwesh Nath, Zhoubing Xu, Ipek Oguz:
COLosSAL: A Benchmark for Cold-start Active Learning for 3D Medical Image Segmentation. CoRR abs/2307.12004 (2023) - [i20]Hao Li, Han Liu, Dewei Hu, Xing Yao, Jiacheng Wang, Ipek Oguz:
CATS v2: Hybrid encoders for robust medical segmentation. CoRR abs/2308.06377 (2023) - [i19]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:
False Negative/Positive Control for SAM on Noisy Medical Images. CoRR abs/2308.10382 (2023) - [i18]Dewei Hu, Hao Li, Han Liu, Xing Yao, Jiacheng Wang, Ipek Oguz:
MAP: Domain Generalization via Meta-Learning on Anatomy-Consistent Pseudo-Modalities. CoRR abs/2309.01286 (2023) - [i17]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
Promise: Prompt-driven 3D Medical Image Segmentation Using Pretrained Image Foundation Models. CoRR abs/2310.19721 (2023) - [i16]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Ipek Oguz:
Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts. CoRR abs/2311.07806 (2023) - [i15]Han Liu, Yubo Fan, Zhoubing Xu, Benoit M. Dawant, Ipek Oguz:
Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation. CoRR abs/2311.12437 (2023) - [i14]Jiacheng Wang, Hao Li, Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Novel OCT mosaicking pipeline with Feature- and Pixel-based registration. CoRR abs/2311.13052 (2023) - 2022
- [c53]Han Liu, Yubo Fan, Ipek Oguz, Benoit M. Dawant:
Enhancing Data Diversity for Self-training Based Unsupervised Cross-Modality Vestibular Schwannoma and Cochlea Segmentation. BrainLes@MICCAI (2) 2022: 109-118 - [c52]Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz:
Cats: Complementary CNN and Transformer Encoders for Segmentation. ISBI 2022: 1-5 - [c51]Qibang Zhu, Hao Li, Nathan D. Cass, Nathan R. Lindquist, Kareem O. Tawfik, Ipek Oguz:
Acoustic neuroma segmentation using ensembled convolutional neural networks. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2022 - [c50]Hao Li, Han Liu, Dewei Hu, Jiacheng Wang, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long
Self-supervised Test-Time Adaptation for Medical Image Segmentation. MLCN@MICCAI 2022: 32-41 - [c49]Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Huahong Zhang, Ipek Oguz:
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. MICCAI (5) 2022: 444-453 - [c48]Dewei Hu, Hao Li, Han Liu, Ipek Oguz:
Domain Generalization for Retinal Vessel Segmentation with Vector Field Transformer. MIDL 2022: 552-564 - [c47]Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Unsupervised denoising of retinal OCT with diffusion probabilistic model. Medical Imaging: Image Processing 2022 - [c46]Hao Li, Qibang Zhu, Dewei Hu, Manasvi R. Gunnala, Hans J. Johnson, Omar Sherbini, Francesco Gavazzi, Russell D'Aiello, Adeline Vanderver, Jeffrey D. Long
Human brain extraction with deep learning. Medical Imaging: Image Processing 2022 - [c45]Zachary A. Stoebner, Daiwei Lu
Segmentation of kidney stones in endoscopic video feeds. Medical Imaging: Image Processing 2022 - [i13]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:
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwnannoma and Cochlea Segmentation. CoRR abs/2201.02831 (2022) - [i12]Dewei Hu, Yuankai K. Tao, Ipek Oguz:
Unsupervised Denoising of Retinal OCT with Diffusion Probabilistic Model. CoRR abs/2201.11760 (2022) - [i11]Han Liu, Yubo Fan, Hao Li, Jiacheng Wang, Dewei Hu, Can Cui, Ho Hin Lee, Ipek Oguz:
ModDrop++: A Dynamic Filter Network with Intra-subject Co-training for Multiple Sclerosis Lesion Segmentation with Missing Modalities. CoRR abs/2203.04959 (2022) - [i10]Zachary A. Stoebner, Daiwei Lu, Seok Hee Hong, Nicholas L. Kavoussi, Ipek Oguz:
Segmentation of kidney stones in endoscopic video feeds. CoRR abs/2204.14175 (2022) - [i9]Hao Li, Dewei Hu, Han Liu, Jiacheng Wang, Ipek Oguz:
Cats: Complementary CNN and Transformer Encoders for Segmentation. CoRR abs/2208.11572 (2022) - 2021
- [j10]Kilian Hett, Vinh-Thong Ta, Ipek Oguz, José V. Manjón, Pierrick Coupé:
Multi-scale graph-based grading for Alzheimer's disease prediction. Medical Image Anal. 67: 101850 (2021) - [c44]Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson
Unsupervised Cross-modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble. BrainLes@MICCAI (2) 2021: 518-528 - [c43]Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. MICCAI (1) 2021: 514-524 - [c42]Yue Liu, Dario J. Englot, Victoria L. Morgan, Warren D. Taylor, Ying Wei, Ipek Oguz, Bennett A. Landman, Ilwoo Lyu:
Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy. Medical Imaging: Image Processing 2021 - [c41]Kathleen E. Larson
Synthetic atrophy for longitudinal surface-based cortical thickness measurement. Medical Imaging: Image Processing 2021 - [c40]Hao Li, Huahong Zhang, Hans J. Johnson
Longitudinal subcortical segmentation with deep learning. Medical Imaging: Image Processing 2021 - [c39]Hao Li, Huahong Zhang, Hans J. Johnson
MRI subcortical segmentation in neurodegeneration with cascaded 3D CNNs. Medical Imaging: Image Processing 2021 - [i8]Dewei Hu, Can Cui, Hao Li, Kathleen E. Larson, Yuankai K. Tao, Ipek Oguz:
LIFE: A Generalizable Autodidactic Pipeline for 3D OCT-A Vessel Segmentation. CoRR abs/2107.04282 (2021) - [i7]Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz:
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network. CoRR abs/2107.04288 (2021) - [i6]Hao Li, Dewei Hu, Qibang Zhu, Kathleen E. Larson, Huahong Zhang, Ipek Oguz:
Unsupervised Cross-Modality Domain Adaptation for Segmenting Vestibular Schwannoma and Cochlea with Data Augmentation and Model Ensemble. CoRR abs/2109.12169 (2021) - 2020
- [c38]Huahong Zhang, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods. BrainLes@MICCAI (1) 2020: 11-29 - [c37]Kilian Hett, Hans J. Johnson
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis Of Deformation Fields in Huntington's Disease. ISBI 2020: 1091-1095 - [c36]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:
Automated Meshing of Anatomical Shapes for Deformable Medial Modeling: Application to the Placenta in 3D Ultrasound. ISBI 2020: 1842-1846 - [c35]Huahong Zhang, Rohit Bakshi, Francesca Bagnato, Ipek Oguz:
Robust Multiple Sclerosis Lesion Inpainting with Edge Prior. MLMI@MICCAI 2020: 120-129 - [c34]Dewei Hu, Joseph D. Malone, Yigit Atay, Yuankai K. Tao, Ipek Oguz:
Retinal OCT Denoising with Pseudo-Multimodal Fusion Network. OMIA@MICCAI 2020: 125-135 - [c33]Hao Li, Huahong Zhang, Dewei Hu, Hans J. Johnson
Generalizing MRI Subcortical Segmentation to Neurodegeneration. MLCN/RNO-AI@MICCAI 2020: 139-147 - [c32]Kilian Hett
Patch-Based Abnormality Maps for Improved Deep Learning-Based Classification of Huntington's Disease. MICCAI (7) 2020: 636-645 - [c31]Ipek Oguz, Joseph D. Malone, Yigit Atay, Yuankai K. Tao:
Self-fusion for OCT noise reduction. Medical Imaging: Image Processing 2020: 113130C - [c30]Kathryn Ufford, Simon N. Vandekar, Ipek Oguz:
Joint intensity fusion with normalized cross-correlation metric for cross-modality MRI synthesis (Conference Presentation). Medical Imaging: Image Processing 2020: 1131304 - [i5]Kilian Hett, Hans J. Johnson, Pierrick Coupé, Jane S. Paulsen, Jeffrey D. Long, Ipek Oguz:
Tensor-Based Grading: A Novel Patch-Based Grading Approach for the Analysis of Deformation Fields in Huntington's Disease. CoRR abs/2001.08651 (2020) - [i4]Huahong Zhang, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation - A Survey of Supervised CNN-Based Methods. CoRR abs/2012.08317 (2020)
2010 – 2019
- 2019
- [j9]Paul A. Yushkevich
User-Guided Segmentation of Multi-modality Medical Imaging Datasets with ITK-SNAP. Neuroinformatics 17(1): 83-102 (2019) - [c29]Huahong Zhang, Alessandra M. Valcarcel, Rohit Bakshi, Renxin Chu, Francesca Bagnato, Russell T. Shinohara, Kilian Hett, Ipek Oguz:
Multiple Sclerosis Lesion Segmentation with Tiramisu and 2.5D Stacked Slices. MICCAI (3) 2019: 338-346 - [e4]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
International Conference on Medical Imaging with Deep Learning, MIDL 2019, 8-10 July 2019, London, United Kingdom. Proceedings of Machine Learning Research 102, PMLR 2019 [contents] - [i3]Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka:
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. CoRR abs/1903.03929 (2019) - [i2]M. Jorge Cardoso, Aasa Feragen, Ben Glocker, Ender Konukoglu, Ipek Oguz, Gozde B. Unal, Tom Vercauteren:
Medical Imaging with Deep Learning: MIDL 2019 - Extended Abstract Track. CoRR abs/1907.08612 (2019) - 2018
- [c28]Baris U. Oguz, Jiancong Wang, Natalie Yushkevich, Alison M. Pouch, James C. Gee, Paul A. Yushkevich
Combining Deep Learning and Multi-atlas Label Fusion for Automated Placenta Segmentation from 3DUS. DATRA/PIPPI@MICCAI 2018: 138-148 - [e3]Ali Gooya
Simulation and Synthesis in Medical Imaging - Third International Workshop, SASHIMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings. Lecture Notes in Computer Science 11037, Springer 2018, ISBN 978-3-030-00535-1 [contents] - [e2]Danail Stoyanov, Zeike Taylor, Seyed Mostafa Kia, Ipek Oguz, Mauricio Reyes, Anne L. Martel, Lena Maier-Hein, Andre F. Marquand, Edouard Duchesnay, Tommy Löfstedt, Bennett A. Landman, M. Jorge Cardoso, Carlos A. Silva, Sérgio Pereira, Raphael Meier:
Understanding and Interpreting Machine Learning in Medical Image Computing Applications - First International Workshops MLCN 2018, DLF 2018, and iMIMIC 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16-20, 2018, Proceedings. Lecture Notes in Computer Science 11038, Springer 2018, ISBN 978-3-030-02627-1 [contents] - 2017
- [c27]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka
Efficient Optimization for Hierarchically-Structured Interacting Segments (HINTS). CVPR 2017: 4981-4989 - [c26]Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy
Dice Overlap Measures for Objects of Unknown Number: Application to Lesion Segmentation. BrainLes@MICCAI 2017: 3-14 - [c25]Greg M. Fleishman
Joint Intensity Fusion Image Synthesis Applied to Multiple Sclerosis Lesion Segmentation. BrainLes@MICCAI 2017: 43-54 - [c24]Mengjin Dong, Ipek Oguz, Nagesh Subbana, Peter A. Calabresi
Multiple Sclerosis Lesion Segmentation Using Joint Label Fusion. Patch-MI@MICCAI 2017: 138-145 - [c23]Min Chen, Jiancong Wang, Ipek Oguz, Brian L. Vanderbeek, James C. Gee:
Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks. FIFI/OMIA@MICCAI 2017: 177-184 - [c22]Baris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich
Gradient Boosted Trees for Corrective Learning. MLMI@MICCAI 2017: 203-211 - [c21]Zhihui Guo
Machine learning in a graph framework for subcortical segmentation. Medical Imaging: Image Processing 2017: 101330H - [e1]Marc Niethammer, Martin Styner, Stephen R. Aylward, Hongtu Zhu, Ipek Oguz, Pew-Thian Yap, Dinggang Shen:
Information Processing in Medical Imaging - 25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings. Lecture Notes in Computer Science 10265, Springer 2017, ISBN 978-3-319-59049-3 [contents] - [i1]Hossam N. Isack, Olga Veksler, Ipek Oguz, Milan Sonka, Yuri Boykov:
Efficient optimization for Hierarchically-structured Interacting Segments (HINTS). CoRR abs/1703.10530 (2017) - 2016
- [j8]Ipek Oguz, Joshua E. Cates
Entropy-based particle correspondence for shape populations. Int. J. Comput. Assist. Radiol. Surg. 11(7): 1221-1232 (2016) - [c20]Satyananda Kashyap, Ipek Oguz, Milan Sonka
Statistical shape analysis of automatically segmented femur bones: Data from the osteoarthritis initiative. ISBI 2016: 651-655 - [c19]Satyananda Kashyap, Ipek Oguz, Honghai Zhang, Milan Sonka:
Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative. MICCAI (2) 2016: 344-351 - [c18]Ipek Oguz, Satyananda Kashyap, Hongzhi Wang, Paul A. Yushkevich
Globally Optimal Label Fusion with Shape Priors. MICCAI (2) 2016: 538-546 - [c17]Joohwi Lee, Sun Hyung Kim, Ipek Oguz, Martin Styner:
Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation. Medical Imaging: Image Processing 2016: 97840B - [c16]Ipek Oguz, Li Zhang, Michael D. Abràmoff
Optimal retinal cyst segmentation from OCT images. Medical Imaging: Image Processing 2016: 97841E - 2015
- [c15]Ipek Oguz, Martin Styner, Mar Sanchez, Yundi Shi, Milan Sonka
LOGISMOS-B for primates: primate cortical surface reconstruction and thickness measurement. Medical Imaging: Image Processing 2015: 941313 - 2014
- [j7]Ipek Oguz, Mahshid Farzinfar, Joy T. Matsui, François Budin, Zhexing Liu, Guido Gerig
DTIPrep: quality control of diffusion-weighted images. Frontiers Neuroinformatics 8: 4 (2014) - [j6]Sean Skwerer, Elizabeth Bullitt, Stephan Huckemann, Ezra Miller, Ipek Oguz, Megan Owen, Vic Patrangenaru, J. Scott Provan, J. S. Marron:
Tree-Oriented Analysis of Brain Artery Structure. J. Math. Imaging Vis. 50(1-2): 126-143 (2014) - [j5]Ipek Oguz, Milan Sonka
LOGISMOS-B: Layered Optimal Graph Image Segmentation of Multiple Objects and Surfaces for the Brain. IEEE Trans. Medical Imaging 33(6): 1220-1235 (2014) - [c14]Ipek Oguz, Milan Sonka
Robust Cortical Thickness Measurement with LOGISMOS-B. MICCAI (1) 2014: 722-730 - 2013
- [j4]François Budin, Marion Hoogstoel, Patrick Reynolds, Michael Grauer, Shonagh K. O'Leary-Moore, Ipek Oguz:
Fully automated rodent brain MR image processing pipeline on a Midas server: from acquired images to region-based statistics. Frontiers Neuroinformatics 7: 15 (2013) - [j3]Michael Grauer, Patrick Reynolds, Marion Hoogstoel, François Budin, Martin Andreas Styner, Ipek Oguz:
A midas plugin to enable construction of reproducible web-based image processing pipelines. Frontiers Neuroinformatics 7: 46 (2013) - [j2]Mahshid Farzinfar, Ipek Oguz, Rachel Gimpel Smith, Audrey R. Verde, Cheryl Dietrich, Aditya Gupta
Diffusion imaging quality control via entropy of principal direction distribution. NeuroImage 82: 1-12 (2013) - [c13]Joohwi Lee, Ilwoo Lyu, Ipek Oguz, Martin Andreas Styner:
Particle-Guided Image Registration. MICCAI (3) 2013: 203-210 - [c12]Mahshid Farzinfar, Yin Li, Audrey R. Verde, Ipek Oguz, Guido Gerig
DTI quality control assessment via error estimation from Monte Carlo simulations. Medical Imaging: Image Processing 2013: 86692C - 2011
- [c11]Beatriz Paniagua, Abeer Alhadidi, Lucia H. S. Cevidanes, Martin Styner, Ipek Oguz:
Mandibular asymmetry characterization using generalized tensor-based morphometry. ISBI 2011: 1175-1178 - [c10]Alexis Boucharin, Ipek Oguz, Clement Vachet
Efficient, graph-based white matter connectivity from orientation distribution functions via multi-directional graph propagation. Medical Imaging: Image Processing 2011: 79620S - [c9]Ipek Oguz, Joohwi Lee, François Budin, Ashley Rumple, Matthew McMurray
Automatic skull-stripping of rat MRI/DTI scans and atlas building. Medical Imaging: Image Processing 2011: 796225 - [c8]Clement Vachet
Group-wise automatic mesh-based analysis of cortical thickness. Medical Imaging: Image Processing 2011: 796227 - [c7]Joohwi Lee, Cindy Ehlers, Fulton Crews
Automatic cortical thickness analysis on rodent brain. Medical Imaging: Image Processing 2011: 796248 - 2010
- [c6]Xiaoxiao Liu, Ipek Oguz, Stephen M. Pizer, Gig S. Mageras:
Shape-correlated deformation statistics for respiratory motion prediction in 4D lung. Medical Imaging: Image-Guided Procedures 2010: 76252D
2000 – 2009
- 2009
- [c5]Ipek Oguz, Marc Niethammer, Joshua E. Cates
Cortical Correspondence with Probabilistic Fiber Connectivity. IPMI 2009: 651-663 - 2008
- [c4]Martin Styner, Ipek Oguz, Tobias Heimann, Guido Gerig
Minimum description length with local geometry. ISBI 2008: 1283-1286 - [c3]Ipek Oguz, Joshua E. Cates
Cortical correspondence using entropy-based particle systems and local features. ISBI 2008: 1637-1640 - 2007
- [j1]Jeremy D. Wendt, William V. Baxter III, Ipek Oguz, Ming C. Lin:
Finite volume flow simulations on arbitrary domains. Graph. Model. 69(1): 19-32 (2007) - [c2]Martin Styner, Ipek Oguz, Shun Xu, Dimitrios Pantazis, Guido Gerig
Statistical group differences in anatomical shape analysis using Hotelling T2 metric. Medical Imaging: Image Processing 2007: 65123Z - 2005
- [c1]Martin Andreas Styner, Ipek Oguz, Rachel Gimpel Smith, Carissa Cascio, Matthieu Jomier:
Corpus Callosum Subdivision Based on a Probabilistic Model of Inter-hemispheric Connectivity. MICCAI (2) 2005: 765-772
Coauthor Index
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Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-14 00:54 CET by the dblp team
all metadata released as open data under CC0 1.0 license
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