This repo is a paper list of reviews, methods, datasets and other related studies about abdominal MRI segmentation.
Fully automated multiorgan segmentation in abdominal magnetic resonance imaging with deep neural networks
Yuhua Chen, Dan Ruan, Jiayu Xiao, Lixia Wang, Bin Sun, Rola Saouaf, Wensha Yang, Debiao Li, Zhaoyang Fan
Medical Physics (2023 IF = 3.8), 2020
Paper
Deep Learning-based Auto-segmentation on CT and MRI for Abdominal Structures
A. Amjad, J. Xu, D. Thill, N. O’Connell, L. Buchanan, I.K. Jones, W.A. Hall, B.A. Erickson, A. Li
International Journal of Radiation Oncology, Biology, Physics (2023 IF = 7.0), 2020
Paper
Automated imaging-based abdominal organ segmentation and quality control in 20,000 participants of the UK Biobank and German National Cohort Studies
Turkay Kart, Marc Fischer, Stefan Winzeck, Ben Glocker, Wenjia Bai, Robin Bülow, Carina Emmel, Lena Friedrich, Hans-Ulrich Kauczor, Thomas Keil, Thomas Kröncke, Philipp Mayer, Thoralf Niendorf, Annette Peters, Tobias Pischon, Benedikt M. Schaarschmidt, Börge Schmidt, Matthias B. Schulze, Lale Umutle, Henry Völzke, Thomas Küstner, Fabian Bamberg, Bernhard Schölkopf, Daniel Rueckert, Sergios Gatidis
Scientific Reports (2023 IF = 4.6), 2022
Paper
Towards TotalSegmentator for MRI data leveraging GIN data augmentation
Kai Geißler, Daniel Mensing, Markus Wenzel, Jochen G. Hirsch, Stefan Heldmann
Medical Imaging 2024: Image Processing, 2024
Paper
Towards Automatic Abdominal MRI Organ Segmentation: Leveraging Synthesized Data Generated From CT Labels
Cosmin Ciausu, Deepa Krishnaswamy, Benjamin Billot, Steve Pieper, Ron Kikinis, Andrey Fedorov
arXiv preprint, 2024.3
arXiv
MRSegmentator: Robust Multi-Modality Segmentation of 40 Classes in MRI and CT Sequences
Hartmut Häntze, Lina Xu, Felix J. Dorfner, Leonhard Donle, Daniel Truhn, Hugo Aerts, Mathias Prokop, Bram van Ginneken, Alessa Hering, Lisa C. Adams, Keno K. Bressem
arXiv preprint, 2024.5
arXiv
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation
A. Emre Kavur, N. Sinem Gezer, Mustafa Barış, Sinem Aslan, Pierre-Henri Conze, Vladimir Groza, Duc Duy Pham, Soumick Chatterjee, Philipp Ernst, Savaş Özkan, Bora Baydar, Dmitry Lachinov, Shuo Han, Josef Pauli, Fabian Isensee, Matthias Perkonigg, Rachana Sathish, Ronnie Rajan, Debdoot Sheet, Gurbandurdy Dovletov, Oliver Speck, Andreas Nürnberger, Klaus H. Maier-Hein, Gözde Bozdağı Akar, Gözde Ünal, Oğuz Dicle, M. Alper Selver
Medical Image Analysis (2023 IF = 10.9), 2021
Paper
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image Segmentation
Yuanfeng Ji, Haotian Bai, Chongjian GE, Jie Yang, Ye Zhu, Ruimao Zhang, Zhen Li, Lingyan Zhanng, Wanling Ma, Xiang Wan, Ping Luo
NeurIPS, 2022
Paper
TotalSegmentator MRI: Sequence-Independent Segmentation of 59 Anatomical Structures in MR images
Tugba Akinci D'Antonoli, Lucas K. Berger, Ashraya K. Indrakanti, Nathan Vishwanathan, Jakob Weiß, Matthias Jung, Zeynep Berkarda, Alexander Rau, Marco Reisert, Thomas Küstner, Alexandra Walter, Elmar M. Merkle, Martin Segeroth, Joshy Cyriac, Shan Yang, Jakob Wasserthal
arXiv preprint, 2024.5
arXiv | Toolkit
Genetic architecture of 11 organ traits derived from abdominal MRI using deep learning
Yi Liu, Nicolas Basty, Brandon Whitcher, Jimmy D Bell, Elena P Sorokin,
Nick van Bruggen, E Louise Thomas, Madeleine Cule
eLife (2023 IF = 7.7), 2021
Paper
Noninvasive assessment of organ-specific and shared pathways in multi-organ fibrosis using T1 mapping
Victor Nauffal, Marcus D. R. Klarqvist, Matthew C. Hill, Danielle F. Pace, Paolo Di Achille, Seung Hoan Choi, Joel T. Rämö, James P. Pirruccello, Pulkit Singh, Shinwan Kany, Cody Hou, Kenney Ng, Anthony A. Philippakis, Puneet Batra, Steven A. Lubitz, Patrick T. Ellinor
Nature Medicine (2023 IF = 82.9), 2024
Paper