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

H. Liu, H. Li, X. Yao, Y. Fan, D. Hu, B. Dawant, V. Nath, Z. Xu, and I. Oguz. MICCAI (2), volume 14221 of Lecture Notes in Computer Science, page 25-34. Springer, (2023)

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Oguz Karagöz

Kamile Ipek

Ipek Ölcüm

Ipek Tüner

Gonca Ipek-Özdemir

Other publications of authors with the same name

Enhanced cortical thickness measurements for rodent brains via Lagrangian-based RK4 streamline computation.J. Lee, S. Kim, I. Oguz, and M. Styner. Medical Imaging: Image Processing, volume 9784 of SPIE Proceedings, page 97840B. SPIE, (2016)Generalizing MRI Subcortical Segmentation to Neurodegeneration.H. Li, H. Zhang, D. Hu, H. Johnson, J. Long, J. Paulsen, and I. Oguz. MLCN/RNO-AI@MICCAI, volume 12449 of Lecture Notes in Computer Science, page 139-147. Springer, (2020)Longitudinal subcortical segmentation with deep learning.H. Li, H. Zhang, H. Johnson, J. Long, J. Paulsen, and I. Oguz. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Establishing surface correspondence for post-surgical cortical thickness changes in temporal lobe epilepsy.Y. Liu, D. Englot, V. Morgan, W. Taylor, Y. Wei, I. Oguz, B. Landman, and I. Lyu. Medical Imaging: Image Processing, volume 11596 of SPIE Proceedings, SPIE, (2021)Segmentation of kidney stones in endoscopic video feeds.Z. Stoebner, D. Lu, S. Hong, N. Kavoussi, and I. Oguz. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)PRISM Lite: A lightweight model for interactive 3D placenta segmentation in ultrasound.H. Li, B. Oguz, G. Arenas, X. Yao, J. Wang, A. Pouch, B. Byram, N. Schwartz, and I. Oguz. CoRR, (2024)Assessing Test-Time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts.H. Li, H. Liu, D. Hu, J. Wang, and I. Oguz. ISBI, page 1-5. IEEE, (2024)Automated Segmentation of Knee MRI Using Hierarchical Classifiers and Just Enough Interaction Based Learning: Data from Osteoarthritis Initiative.S. Kashyap, I. Oguz, H. Zhang, and M. Sonka. CoRR, (2019)Automatic skull-stripping of rat MRI/DTI scans and atlas building.I. Oguz, J. Lee, F. Budin, A. Rumple, M. McMurray, C. Ehlers, F. Crews, J. Johns, and M. Styner. Medical Imaging: Image Processing, volume 7962 of SPIE Proceedings, page 796225. SPIE, (2011)Learning Site-specific Styles for Multi-institutional Unsupervised Cross-modality Domain Adaptation.H. Liu, Y. Fan, Z. Xu, B. Dawant, and I. Oguz. CoRR, (2023)

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Disambiguation of "Oguz, Ipek"

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

Please choose a person to relate this publication to

Oguz Karagöz

Kamile Ipek

Ipek Ölcüm

Ipek Tüner

Gonca Ipek-Özdemir

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Oguz, Ipek"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML COLosSAL: A Benchmark for Cold-Start Active Learning for 3D Medical Image Segmentation.

Please choose a person to relate this publication to

Oguz Karagöz

Kamile Ipek

Ipek Ölcüm

Ipek Tüner

Gonca Ipek-Özdemir

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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