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

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI
Cited 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 Data
Cited 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 MRNet
Cited 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 researchers
Cited by: 14
Author(s): Dan Cutright, Mahesh Gopalakrishnan, Arkajyoti Roy, Aditya Panchal, Bharat B. Mittal
Software Mentions: 6
Published: over 6 years ago

10.1371/journal.pone.0222523

The feasibility of using citizens to segment anatomy from medical images: Accuracy and motivation
Cited 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: about 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 Nodules
Cited 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 Collaborative
Cited 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 samples
Cited 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 sharing
Cited 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 scans
Cited 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 Resolution
Cited 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 architectures
Cited by: 44
Author(s): Ayat Abedalla, Malak Abdullah, Mahmoud Al‐Ayyoub, Elhadj Benkhelifa
Software Mentions: 2
Published: over 3 years ago

10.1002/mp.14445

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules
Cited 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 Data
Cited by: 10
Author(s): Christoph Vogelbacher, Miriam Bopp, Verena Schuster, Peer Herholz, Andreas Jansen, Jens Sommer
Software Mentions: 2
Published: over 5 years ago

10.3389/fonc.2016.00116

The FLUKA Code: An Accurate Simulation Tool for Particle Therapy
Cited 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 Imaging
Cited 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: about 4 years ago

10.1186/1748-717X-6-69

Current measures of metabolic heterogeneity within cervical cancer do not predict disease outcome
Cited 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 networks
Cited 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: over 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 development
Cited 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