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: pydicom
https://packages.ecosyste.ms/registries/pypi.org/packages/pydicom
A pure Python package for reading and writing DICOM data
37 versions
Latest release: about 1 year ago
233 dependent packages
390,971 downloads last month
Papers Mentioning pydicom 19
10.1186/s12880-021-00551-1
Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRICited by: 14
Author(s): Markus J. Ankenbrand, Liliia Shainberg, Michael Hock, David Lohr, Laura M. Schreiber
Software Mentions: 18
Published: over 3 years ago
10.3389/fninf.2019.00061
Recommendations for Processing Head CT DataCited by: 26
Author(s): John Muschelli
Software Mentions: 9
Published: about 5 years ago
10.1371/journal.pmed.1002699
Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNetCited by: 385
Author(s): Nicholas Bien, Pranav Rajpurkar, Robyn L. Ball, Jeremy Irvin, Allison Park, Erik Jones, Michael Bereket, Bhavik N. Patel, Kristen W. Yeom, Katie Shpanskaya, Safwan Halabi, Evan J. Zucker, Gary S. Fanton, Derek F. Amanatullah, Christopher F. Beaulieu, Geoffrey M. Riley, Russell J. Stewart, Francis G. Blankenberg, David B. Larson, Ricky Jones, Curtis P. Langlotz, Andrew Y. Ng, Matthew P. Lungren
Software Mentions: 7
Published: almost 6 years ago
10.1002/acm2.12401
DVH Analytics: A DVH database for clinicians and researchersCited by: 14
Author(s): Dan Cutright, Mahesh Gopalakrishnan, Arkajyoti Roy, Aditya Panchal, Bharat B. Mittal
Software Mentions: 6
Published: about 6 years ago
10.1371/journal.pone.0222523
The feasibility of using citizens to segment anatomy from medical images: Accuracy and motivationCited by: 2
Author(s): Judith R. Meakin, Ryan M. Ames, Jonathan C. G. Jeynes, Joanne R. Welsman, Michael Gundry, Karen Knapp, Richard Everson
Software Mentions: 5
Published: almost 5 years ago
10.3390/jcm10071430
Pre-Processing Method for Contouring the Uptake Levels of [18F] FDG for Enhanced Specificity of PET Imaging of Solitary Hypermetabolic Pulmonary NodulesCited by: 0
Author(s): Piotr Szumowski, Artur Szklarzewski, Łukasz Żukowski, Saeid Abdelrazek, Małgorzata Mojsak, Katarzyna Porębska, Ewa Sierko, Janusz Myśliwiec
Software Mentions: 4
Published: over 3 years ago
10.1161/CIRCIMAGING.120.011951
Automated Left Ventricular Dimension Assessment Using Artificial Intelligence Developed and Validated by a UK-Wide CollaborativeCited by: 10
Author(s): James P. Howard, Catherine C. Stowell, Graham D. Cole, Kajaluxy Ananthan, Camelia Demetrescu, Keith Pearce, Ronak Rajani, Jobanpreet Sehmi, Kavitha Vimalesvaran, Gajen Kanaganayagam, E. Fred McPhail, Ashoke Kumar Ghosh, John Chambers, Amar Singh, Massoud Zolgharni, Bushra S. Rana, Dárrel P. Francis, Matthew Shun-Shin
Software Mentions: 4
Published: over 3 years ago
10.1098/rsos.201275
Use of deep learning for structural analysis of computer tomography images of soil samplesCited by: 4
Author(s): Ralf Wieland, Chinatsu Ukawa, Monika Joschko, Adrian Krolczyk, Guido Fritsch, Thomas B. Hildebrandt, Olaf Schmidt, Juliane Filser, Junior Vega Jiménez
Software Mentions: 3
Published: over 3 years ago
10.3389/fninf.2014.00052
A simple tool for neuroimaging data sharingCited by: 7
Author(s): Christian Haselgrove, Jean‐Baptiste Poline, David N. Kennedy
Software Mentions: 3
Published: over 10 years ago
10.1038/s41598-021-89848-3
A deep learning model for detection of cervical spinal cord compression in MRI scansCited by: 26
Author(s): Zamir Merali, Justin Z Wang, Jetan H. Badhiwala, Christopher D. Witiw, Jefferson R. Wilson, Michael G. Fehlings
Software Mentions: 3
Published: over 3 years ago
10.1155/2021/5594649
DL-MRI: A Unified Framework of Deep Learning-Based MRI Super ResolutionCited by: 3
Author(s): Huanyu Liu, Jiaqi Liu, Junbao Li, Jeng‐Shyang Pan, Xiaqiong Yu
Software Mentions: 2
Published: over 3 years ago
10.7717/peerj-cs.607
Chest X-ray pneumothorax segmentation using U-Net with EfficientNet and ResNet architecturesCited by: 44
Author(s): Ayat Abedalla, Malak Abdullah, Mahmoud Al‐Ayyoub, Elhadj Benkhelifa
Software Mentions: 2
Published: about 3 years ago
10.1002/mp.14445
DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodulesCited by: 6
Author(s): Andrey Fedorov, Matthew C. Hancock, David A. Clunie, Mathias Brochhausen, Jonathan P. Bona, Justin Kirby, John Freymann, Steve Pieper, Hugo J.W.L. Aerts, Ron Kikinis, Fred Prior
Software Mentions: 2
Published: about 4 years ago
10.3389/fnins.2019.00688
LAB–QA2GO: A Free, Easy-to-Use Toolbox for the Quality Assessment of Magnetic Resonance Imaging DataCited by: 10
Author(s): Christoph Vogelbacher, Miriam Bopp, Verena Schuster, Peer Herholz, Andreas Jansen, Jens Sommer
Software Mentions: 2
Published: about 5 years ago
10.3389/fonc.2016.00116
The FLUKA Code: An Accurate Simulation Tool for Particle TherapyCited by: 168
Author(s): G. Battistoni, J. Bauer, T.T. Boehlen, F. Cerutti, Mary Chin, R.S. Augusto, A. Ferrari, Pablo G. Ortega, Wioletta Kozłowska, Giuseppe Magro, A. Mairani, Katia Parodi, P. Sala, P. Schoofs, Thomas Tessonnier, V. Vlachoudis
Software Mentions: 2
Published: over 8 years ago
10.3389/fsurg.2020.517375
Deep Learning for Automated Delineation of Pediatric Cerebral Arteries on Pre-operative Brain Magnetic Resonance ImagingCited by: 6
Author(s): Jennifer L. Quon, Leo C. Chen, Lily Kim, Gerald A. Grant, Michael S. B. Edwards, Samuel Cheshier, Kristen W. Yeom
Software Mentions: 2
Published: almost 4 years ago
10.1186/1748-717X-6-69
Current measures of metabolic heterogeneity within cervical cancer do not predict disease outcomeCited by: 22
Author(s): Frank J. Brooks, Perry W. Grigsby
Software Mentions: 1
Published: over 13 years ago
10.1371/journal.pone.0235765
Towards subject-level cerebral infarction classification of CT scans using convolutional networksCited by: 2
Author(s): Manuel Schultheiß, Peter B. Noël, Isabelle Riederer, Frank Thiele, Felix K. Kopp, Bernhard Renger, Ernst J. Rummeny, Franz Pfeiffer, Daniela Pfeiffer
Software Mentions: 1
Published: about 4 years ago
10.7717/peerj.8854
Artificial intelligence system can achieve comparable results to experts for bone age assessment of Chinese children with abnormal growth and developmentCited by: 14
Author(s): Fengdan Wang, Xiao Gu, Shi Chen, Yongliang Liu, Qing Shen, Hui Pan, Lei Shi, Zhengyu Jin
Software Mentions: 1
Published: over 4 years ago