Ecosyste.ms: Papers

An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.

Projects: pypi: NiftyNet

https://packages.ecosyste.ms/registries/pypi.org/packages/NiftyNet

An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
11 versions
Latest release: almost 5 years ago
81 downloads last month

Papers Mentioning NiftyNet 17

10.1016/j.cmpb.2018.01.025
NiftyNet: a deep-learning platform for medical imaging
Cited by: 429
Author(s): Eli Gibson, Wenqi Li, Carole H. Sudre, Lucas Fidon, Dzhoshkun I. Shakir, Guotai Wang, Zach Eaton-Rosen, Robert Gray, Tom Doel, Yipeng Hu, T. Whyntie, Parashkev Nachev, Marc Modat, Dean C. Barratt, Sébastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
Software Mentions: 9
Published: over 6 years ago
10.1109/TPAMI.2018.2840695
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Cited by: 262
Author(s): Guotai Wang, María A. Zuluaga, Wenqi Li, Rosalind Pratt, Premal A. Patel, Michaël Aertsen, Tom Doel, Anna L. David, Jan Deprest, Sébastien Ourselin, Tom Vercauteren
Software Mentions: 4
Published: about 5 years ago
10.1186/s13014-020-01528-0
Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy
Cited by: 54
Author(s): M.H.F. Savenije, Matteo Maspero, G.G. Sikkes, Jochem R.N. van der Voort van Zyp, A.N.T.J. Kotte, Gijsbert H. Bol, C.A.T. Van den Berg
Software Mentions: 3
Published: over 4 years ago
10.1371/journal.pone.0253863
Fatty infiltration in cervical flexors and extensors in patients with degenerative cervical myelopathy using a multi-muscle segmentation model
Cited by: 8
Author(s): Monica Paliwal, Kenneth A. Weber, Andrew C. Smith, James M. Elliott, Fauziyya Muhammad, Nader S. Dahdaleh, Jerzy Bodurka, Yasin Y. Dhaher, Todd B. Parrish, Sean Mackey, Zachary A. Smith
Software Mentions: 2
Published: about 3 years ago
10.3389/fnins.2021.670287
DeepNavNet: Automated Landmark Localization for Neuronavigation
Cited by: 4
Author(s): Christine A. Edwards, Abhinav Goyal, Aaron E. Rusheen, Abbas Z. Kouzani, Kendall H. Lee
Software Mentions: 2
Published: over 3 years ago
10.3390/brainsci10120974
Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI
Cited by: 20
Author(s): Minho Lee, JeeYoung Kim, Regina Ey Kim, Hyun Gi Kim, Saecheol Oh, Min Kyoung Lee, Sheng‐Min Wang, Nak-Young Kim, Dong Woo Kang, ZunHyan Rieu, Jung Hyun Yong, Donghyeon Kim, Hyun Kook Lim
Software Mentions: 2
Published: almost 4 years ago
10.1002/acm2.13321
Artificial intelligence in tumor subregion analysis based on medical imaging: A review
Cited by: 15
Author(s): Mingquan Lin, Jacob Wynne, Boran Zhou, Tonghe Wang, Yang Lei, Walter J. Curran, Tian Liu, Xiaofeng Yang
Software Mentions: 2
Published: about 3 years ago
10.1148/ryai.2020190103
Robust Deep Learning–based Segmentation of Glioblastoma on Routine Clinical MRI Scans Using Sparsified Training
Cited by: 12
Author(s): Roelant S. Eijgelaar, Maarten R. Visser, Domenique M J Müller, Frederik Barkhof, Hugo Vrenken, Marcel van Herk, Lorenzo Bello, Marco Conti Nibali, Marco Rossi, Tommaso Sciortino, Mitchel S. Berger, Shawn L. Hervey-Jumper, Barbara Kiesel, Georg Widhalm, Julia Furtner, Pierre A. Robe, Emmanuel Mandonnet, Philip C. De Witt Hamer, J.C. de Munck, Marnix G. Witte
Software Mentions: 2
Published: about 4 years ago
10.1186/s12880-020-00543-7
MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning
Cited by: 69
Author(s): Dominik Müller, Frank Krämer
Software Mentions: 1
Published: over 3 years ago
10.1093/jrr/rraa132
Automated approach for segmenting gross tumor volumes for lung cancer stereotactic body radiation therapy using CT-based dense V-networks
Cited by: 13
Author(s): Yunhao Cui, Hidetaka Arimura, Risa Nakano, Tsuyoshi Yoshitake, Yoshiyuki Shioyama, Hidetake Yabuuchi
Software Mentions: 1
Published: over 3 years ago
10.1016/j.media.2019.101558
Automatic segmentation of prostate MRI using convolutional neural networks: Investigating the impact of network architecture on the accuracy of volume measurement and MRI-ultrasound registration
Cited by: 48
Author(s): Navid Ghavami, Yipeng Hu, Eli Gibson, Ester Bonmati, Mark Emberton, Caroline M. Moore, Dean C. Barratt
Software Mentions: 1
Published: almost 5 years ago
10.1016/j.media.2018.07.002
Weakly-supervised convolutional neural networks for multimodal image registration
Cited by: 293
Author(s): Yipeng Hu, Marc Modat, Eli Gibson, Wenqi Li, Navid Ghavami, Ester Bonmati, Guotai Wang, Steven Bandula, Caroline M. Moore, Mark Emberton, Sébastien Ourselin, J. Alison Noble, Dean C. Barratt, Tom Vercauteren
Software Mentions: 1
Published: almost 6 years ago
10.1155/2020/8861035
Evaluation of Multimodal Algorithms for the Segmentation of Multiparametric MRI Prostate Images
Cited by: 10
Author(s): Ying-Hwey Nai, Bernice W. Teo, Nadya L. Tan, Koby Yi Wei Chua, Calvin Pei Yu Wong, Sophie O'Doherty, Mary C. Stephenson, Joshua Schaefferkoetter, Yee Liang Thian, Edmund Chiong, Anthonin Reilhac
Software Mentions: 1
Published: almost 4 years ago
10.1007/s00330-021-07709-z
Deep learning–based metal artefact reduction in PET/CT imaging
Cited by: 34
Author(s): Hossein Arabi, Habib Zaidi
Software Mentions: 1
Published: over 3 years ago
10.3389/fbioe.2021.636953
Automated Pipeline to Generate Anatomically Accurate Patient-Specific Biomechanical Models of Healthy and Pathological FSUs
Cited by: 12
Author(s): Sebastiano Caprara, Fabio Carrillo, Jess G. Snedeker, Mazda Farshad, Marco Senteler
Software Mentions: 1
Published: over 3 years ago
10.1038/s41598-019-44416-8
Deep Learning Convolutional Neural Networks for the Automatic Quantification of Muscle Fat Infiltration Following Whiplash Injury
Cited by: 37
Author(s): Kenneth A. Weber, Andrew C. Smith, Marie Wasielewski, Kamran Eghtesad, Pranav A. Upadhyayula, Max Wintermark, Trevor Hastie, Todd B. Parrish, Sean Mackey, James M. Elliott
Software Mentions: 1
Published: over 5 years ago
10.1038/s41598-021-95972-x
Multi-muscle deep learning segmentation to automate the quantification of muscle fat infiltration in cervical spine conditions
Cited by: 15
Author(s): Kenneth A. Weber, Rebecca Abbott, Vivie Bojilov, Andrew C. Smith, Marie Wasielewski, Trevor Hastie, Todd B. Parrish, Sean Mackey, James M. Elliott
Software Mentions: 1
Published: about 3 years ago