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Mathias Perslev
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2020 – today
- 2024
- [c6]Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai:
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. NLDL 2024: 158-164 - [i6]Sumit Pandey, Satyasaran Changdar, Mathias Perslev, Erik B. Dam:
Fully Automated Tumor Segmentation for Brain MRI data using Multiplanner UNet. CoRR abs/2401.06499 (2024) - [i5]Jon Middleton, Marko Bauer, Kaining Sheng, Jacob Johansen, Mathias Perslev, Silvia Ingala, Mads Nielsen, Akshay Pai:
Local Gamma Augmentation for Ischemic Stroke Lesion Segmentation on MRI. CoRR abs/2401.06893 (2024) - 2023
- [j4]Sandeep Singh Sengar
, Christopher Meulengracht, Mikael Ploug Boesen, Anders Føhrby Overgaard, Henrik Gudbergsen
Multi-planar 3D knee MRI segmentation via UNet inspired architectures. Int. J. Imaging Syst. Technol. 33(3): 985-998 (2023) - [j3]Patrick Bilic, Patrick Ferdinand Christ, Hongwei Li
The Liver Tumor Segmentation Benchmark (LiTS). Medical Image Anal. 84: 102680 (2023) - [c5]Sumit Pandey, Toshali, Mathias Perslev
Advancing Kidney, Kidney Tumor, Cyst Segmentation: A Multi-Planner U-Net Approach for the KiTS23 Challenge. KiTS@MICCAI 2023: 143-148 - 2022
- [j2]Jeanne Vuaille, Maja Holbak
Can information on past and near-future weather and field conditions predict the safest pesticide application day? Comput. Electron. Agric. 203: 107454 (2022) - 2021
- [j1]Mathias Perslev
U-Sleep: resilient high-frequency sleep staging. npj Digit. Medicine 4 (2021) - [c4]William Michael Laprade
How Few Annotations are Needed for Segmentation Using a Multi-planar U-Net? DGM4MICCAI/DALI@MICCAI 2021: 209-216 - [i4]Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, Annette Kopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern H. Menze, Olaf Ronneberger, Ronald M. Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick Ferdinand Christ, Richard K. G. Do, Marc Gollub, Stephan Heckers, Henkjan J. Huisman, William R. Jarnagin, Maureen McHugo, Sandy Napel, Jennifer Goli-Pernicka, Kawal S. Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, James A. Meakin, Sébastien Ourselin, Manuel Wiesenfarth, Pablo Arbeláez, Byeonguk Bae, Sihong Chen, Laura Alexandra Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, BeomHee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso:
The Medical Segmentation Decathlon. CoRR abs/2106.05735 (2021) - 2020
- [i3]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020)
2010 – 2019
- 2019
- [c3]Thorbjørn Louring Koch, Mathias Perslev
Accurate Segmentation of Dental Panoramic Radiographs with U-NETS. ISBI 2019: 15-19 - [c2]Mathias Perslev
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. MICCAI (2) 2019: 30-38 - [c1]Mathias Perslev, Michael Hejselbak Jensen, Sune Darkner, Poul Jørgen Jennum, Christian Igel:
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. NeurIPS 2019: 4417-4428 - [i2]Mathias Perslev
U-Time: A Fully Convolutional Network for Time Series Segmentation Applied to Sleep Staging. CoRR abs/1910.11162 (2019) - [i1]Mathias Perslev, Erik Bjørnager Dam, Akshay Pai, Christian Igel:
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image Segmentation. CoRR abs/1911.01764 (2019)
Coauthor Index
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