pypi: SimpleITK | Projects | Ecosyste.ms: Papers

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

10.3390/cancers13040722

Prognostic and Predictive Value of Integrated Qualitative and Quantitative Magnetic Resonance Imaging Analysis in Glioblastoma
Cited by: 19
Author(s): Maikel Verduin, Sergey Primakov, Inge Compter, Henry C. Woodruff, Sander M. J. van Kuijk, Bram Ramaekers, Maarten te Dorsthorst, Elles G. M. Revenich, Mark ter Laan, Sjoert Pegge, Frederick J. A. Meijer, Jan Beckervordersandforth, Ernst-Jan M. Speel, Benno Küsters, Wendy W.J. de Leng, Monique M. Anten, Martijn P. G. Broen, Linda Ackermans, Olaf Schijns, Onno P.M. Teernstra, Koos E. Hovinga, Marc Vooijs, Vivianne C. G. Tjan‐Heijnen, Daniëlle Eekers, Alida A. Postma, Ann Hoeben
Software Mentions: 9
Published: almost 4 years ago

10.7717/peerj.2674

jicbioimage: a tool for automated and reproducible bioimage analysis
Cited by: 6
Author(s): Tjelvar S. G. Olsson, Matthew Hartley
Software Mentions: 8
Published: about 8 years ago

10.1007/s10278-017-0037-8

SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research
Cited by: 239
Author(s): Ziv Yaniv, Bradley Lowekamp, Hans J. Johnson, Richard Beare
Software Mentions: 8
Published: almost 7 years ago

10.3389/fninf.2013.00045

The Design of SimpleITK
Cited by: 402
Author(s): Bradley Lowekamp, David T. Chen, Luis Ibáñez, Daniel J. Blezek
Software Mentions: 7
Published: almost 12 years ago

10.7554/eLife.61408

Constructing and optimizing 3D atlases from 2D data with application to the developing mouse brain
Cited by: 13
Author(s): David M. Young, Siavash Fazel Darbandi, Grace B. Schwartz, Zachary Bonzell, Deniz Yuruk, Mai Nojima, Leena Gole, John L.R. Rubenstein, Weimiao Yu, Stephan Sanders
Software Mentions: 7
Published: almost 4 years ago

10.1186/s12859-021-03984-1

PartSeg: a tool for quantitative feature extraction from 3D microscopy images for dummies
Cited by: 6
Author(s): Grzegorz Bokota, Jacek Sroka, Subhadip Basu, Nirmal K. Das, Paweł Trzaskoma, Yana Yushkevich, Agnieszka Grabowska, Adriana Magalska, Dariusz Plewczynski
Software Mentions: 7
Published: almost 4 years ago

10.3390/cancers13102447

MRI-Based Radiomics Analysis for the Pretreatment Prediction of Pathologic Complete Tumor Response to Neoadjuvant Systemic Therapy in Breast Cancer Patients: A Multicenter Study
Cited by: 16
Author(s): R. Granzier, Abdalla Ibrahim, Sergey Primakov, Sanaz Samiei, Thiemo J A van Nijnatten, Maaike de Boer, E. M. Heuts, F J Hulsmans, A. Chatterjee, Philippe Lambin, Marc Lobbes, Henry C. Woodruff, Marjolein L. Smidt
Software Mentions: 6
Published: over 3 years ago

10.1371/journal.pone.0226501

pyKNEEr: An image analysis workflow for open and reproducible research on femoral knee cartilage
Cited by: 11
Author(s): Serena Bonaretti, Garry E. Gold, Gary S. Beaupré
Software Mentions: 6
Published: almost 5 years ago

10.1016/j.compbiomed.2015.12.002

Rapid development of image analysis research tools: Bridging the gap between researcher and clinician with pyOsiriX
Cited by: 33
Author(s): Matthew Blackledge, David J. Collins, Dow‐Mu Koh, Martin O. Leach
Software Mentions: 5
Published: almost 9 years ago

10.3389/fonc.2020.531476

Application of MRI Radiomics-Based Machine Learning Model to Improve Contralateral BI-RADS 4 Lesion Assessment
Cited by: 11
Author(s): Hao Wen, Jing Gong, Shengping Wang, Hui Zhu, Bin Zhao, Weijun Peng
Software Mentions: 5
Published: about 4 years ago

10.3389/fninf.2015.00005

Neuroinformatics and the The Insight ToolKit
Cited by: 6
Author(s): Brian B. Avants, Hans J. Johnson, Nicholas J. Tustison
Software Mentions: 5
Published: over 9 years ago

10.1371/journal.pone.0206108

Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC
Cited by: 100
Author(s): T Dou, Thibaud Coroller, Joost J.M. van Griethuysen, Raymond H. Mak, Hugo J.W.L. Aerts
Software Mentions: 4
Published: about 6 years ago

10.1155/2020/1712604

Machine Learning Based on a Multiparametric and Multiregional Radiomics Signature Predicts Radiotherapeutic Response in Patients with Glioblastoma
Cited by: 11
Author(s): Ziqi Pan, Shujun Zhang, Xianglian Wang, Yang Jiao, Jianjian Qiu
Software Mentions: 4
Published: about 4 years ago

10.7554/eLife.59780

On the objectivity, reliability, and validity of deep learning enabled bioimage analyses
Cited by: 25
Author(s): Dennis Segebarth, Matthias Griebel, Nikolai Stein, Cora R. von Collenberg, Corinna Martin, Dominik Fiedler, Lucas B. Comeras, Anupam Sah, Victoria Schoeffler, Teresa M. Lüffe, Alexander Dürr, Rohini Gupta, Manju Sasi, Christina Lillesaar, Maren D. Lange, Ramon Tasan, Nicolas Singewald, Hans‐Christian Pape, Christoph M. Flath, Robert Blum
Software Mentions: 4
Published: about 4 years ago

10.3389/fonc.2020.599907

18F-FDG PET/CT Metrics Are Correlated to the Pathological Response in Esophageal Cancer Patients Treated With Induction Chemotherapy Followed by Neoadjuvant Chemo-Radiotherapy
Cited by: 15
Author(s): N. Simoni, Gabriella Rossi, Giulio Benetti, Michele Zuffante, R. Micera, M. Pavarana, Stefania Guariglia, Emanuele Zivelonghi, Valentina Mengardo, Jacopo Weindelmayer, Simone Giacopuzzi, Giovanni De Manzoni, Carlo Cavedon, Renzo Mazzarotto
Software Mentions: 4
Published: almost 4 years ago

10.1007/s11547-021-01370-8

CT radiomic models to distinguish COVID-19 pneumonia from other interstitial pneumonias
Cited by: 18
Author(s): Nicolò Cardobi, Giulio Benetti, Giuseppe Cardano, Cinzia Arena, Claudio Micheletto, Carlo Cavedon, Stefania Montemezzi
Software Mentions: 4
Published: over 3 years ago

10.3389/frai.2021.754641

Deep Learning of Histopathology Images at the Single Cell Level
Cited by: 19
Author(s): Kyubum Lee, John H. Lockhart, Mengyu Xie, Ritu Chaudhary, Robbert J.C. Slebos, Elsa R. Flores, Christine H. Chung, Aik Choon Tan
Software Mentions: 4
Published: about 3 years ago

10.3389/fonc.2020.00418

Comparison and Fusion of Deep Learning and Radiomics Features of Ground-Glass Nodules to Predict the Invasiveness Risk of Stage-I Lung Adenocarcinomas in CT Scan
Cited by: 36
Author(s): Xianwu Xia, Jing Gong, Hao Wen, Ting Yang, Yeqing Lin, Shengping Wang, Weijun Peng
Software Mentions: 4
Published: over 4 years ago

10.3390/bioengineering8020026

An Open-Source COVID-19 CT Dataset with Automatic Lung Tissue Classification for Radiomics
Cited by: 19
Author(s): Paolo Zaffino, Aldo Marzullo, Sara Moccia, Francesco Calimeri, Elena De Momi, Bernardo Bertucci, Pier Paolo Arcuri, Maria Francesca Spadea
Software Mentions: 4
Published: almost 4 years ago

10.1038/s41598-020-77740-5

Assessment of metastatic lymph nodes in head and neck squamous cell carcinomas using simultaneous 18F-FDG-PET and MRI
Cited by: 14
Author(s): Jenny Chen, Mari Hagiwara, Babak Givi, Brian L. Schmidt, Cheng Z. Liu, Qi Chen, Jean Logan, Artem Mikheev, Henry Rusinek, Sungheon Kim
Software Mentions: 3
Published: almost 4 years ago

10.1038/s41597-019-0241-0

Distributed radiomics as a signature validation study using the Personal Health Train infrastructure
Cited by: 36
Author(s): Zhenwei Shi, Ivan Zhovannik, Alberto Traverso, Frank J. W. M. Dankers, Timo M. Deist, Petros Kalendralis, R. Monshouwer, Johan Bussink, Rianne Fijten, Hugo J.W.L. Aerts, André Dekker, Leonard Wee
Software Mentions: 3
Published: about 5 years ago

10.1007/s00330-020-07058-3

Contralateral parenchymal enhancement on breast MRI before and during neoadjuvant endocrine therapy in relation to the preoperative endocrine prognostic index
Cited by: 9
Author(s): Max A A Ragusi, Claudette E. Loo, Bas H. M. van der Velden, Jelle Wesseling, Sabine C. Linn, Regina G. H. Beets‐Tan, Sjoerd G. Elias, Kenneth G. A. Gilhuijs
Software Mentions: 3
Published: over 4 years ago

10.3389/fphys.2021.644349

Deep Shape Features for Predicting Future Intracranial Aneurysm Growth
Cited by: 5
Author(s): Žiga Bizjak, Franjo Pernuš, Žiga Špiclin
Software Mentions: 3
Published: over 3 years ago

10.3389/fninf.2014.00044

The Insight ToolKit image registration framework
Cited by: 404
Author(s): Brian B. Avants, Nicholas J. Tustison, Michael Stauffer, Gang Song, Bangyu Wu, James C. Gee
Software Mentions: 3
Published: over 10 years ago

10.1038/s41598-020-76132-z

Differentiation of low and high grade renal cell carcinoma on routine MRI with an externally validated automatic machine learning algorithm
Cited by: 7
Author(s): Subhanik Purkayastha, Yijun Zhao, Jing Wu, Rong Hu, A. McGirr, Sukhdeep Singh, Ken Chang, Raymond Y. Huang, Paul J. Zhang, Alvin Silva, Michael C. Soulen, S. William Stavropoulos, Zishu Zhang, Harrison X. Bai
Software Mentions: 3
Published: about 4 years ago

10.3390/cancers13102342

Voxelwise Principal Component Analysis of Dynamic [S-Methyl-11C]Methionine PET Data in Glioma Patients
Cited by: 9
Author(s): Corentin Martens, Olivier Debeir, Christine Decaestecker, Thierry Metens, Laetitia Lebrun, Gil Leurquin‐Sterk, Nicola Trotta, Serge Goldman, Gaëtan Van Simaeys
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

10.1371/journal.pone.0253829

Harnessing clinical annotations to improve deep learning performance in prostate segmentation
Cited by: 4
Author(s): Karthik V. Sarma, Avi Raman, Nikhil J. Dhinagar, Alan Priester, Stephanie Harmon, Thomas Sanford, Sherif Mehralivand, Barış Türkbey, Leonard S. Marks, Steven S. Raman, William Speier, Corey Arnold
Software Mentions: 2
Published: over 3 years ago

10.1186/s40658-020-0278-3

Variability in lutetium-177 SPECT quantification between different state-of-the-art SPECT/CT systems
Cited by: 28
Author(s): Steffie M B Peters, Sebastiaan L Meyer Viol, Niels R van der Werf, Nick de Jong, Floris H. P. van Velden, Antoi P.W. Meeuwis, Mark Konijnenberg, Martin Gotthardt, Hugo W. A. M. de Jong, Marcel Segbers
Software Mentions: 2
Published: almost 5 years ago

10.3389/fninf.2016.00029

An Open-Source Label Atlas Correction Tool and Preliminary Results on Huntingtons Disease Whole-Brain MRI Atlases
Cited by: 7
Author(s): Jessica LeeAnn Forbes, Regina E. Y. Kim, Jane S. Paulsen, Hans J. Johnson
Software Mentions: 2
Published: over 8 years ago

10.3389/fnins.2019.01055

Visualization and Quantification of Post-stroke Neural Connectivity and Neuroinflammation Using Serial Two-Photon Tomography in the Whole Mouse Brain
Cited by: 20
Author(s): Katherine Poinsatte, Dene Betz, Vanessa Torres, Apoorva D. Ajay, Shazia Mirza, Uma Maheswari Selvaraj, Erik J. Plautz, Xiangmei Kong, Sankalp Gokhale, Julian P. Meeks, Denise M.O. Ramirez, Mark P. Goldberg, Ann M. Stowe
Software Mentions: 2
Published: about 5 years ago

10.3389/fonc.2020.00680

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data
Cited by: 92
Author(s): Shihui Zhen, Ming Cheng, Yu Tao, Yi Fan Wang, Sarun Juengpanich, Zhidi Jiang, Yan Jiang, Yu Yan, Wei Lü, Jie Min Lue, Jia Qian, Zhaohui Wu, Ji Sun, Hai Lin, Xun-Zi Cai
Software Mentions: 2
Published: over 4 years ago

10.3389/fonc.2021.711747

A Pipeline for Predicting the Treatment Response of Neoadjuvant Chemoradiotherapy for Locally Advanced Rectal Cancer Using Single MRI Modality: Combining Deep Segmentation Network and Radiomics Analysis Based on “Suspicious Region”
Cited by: 9
Author(s): Xiaolin Pang, Fang Wang, Qianru Zhang, Yan Li, Ronglian Huang, Xin-Ke Yin, Xinjuan Fan
Software Mentions: 2
Published: over 3 years ago

10.3389/fonc.2021.570747

Machine Learning Based on Multi-Parametric MRI to Predict Risk of Breast Cancer
Cited by: 10
Author(s): Weijing Tao, Mengjie Lu, Xiaoyu Zhou, Stefania Montemezzi, Genji Bai, Yangming Yue, Xiuli Li, Lun Zhao, Changsheng Zhou, Guangming Lu
Software Mentions: 2
Published: over 3 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/s13244-021-01010-9

Challenge of prostate MRI segmentation on T2-weighted images: inter-observer variability and impact of prostate morphology
Cited by: 26
Author(s): Sarah Montagne, Dimitri Hamzaoui, Alexandre Allera, Malek Ezziane, Anna Luzurier, Raphaëlle Quint, Mehdi Kalai, Nicholas Ayache, Hervé Delingette, Raphaële Renard-Penna
Software Mentions: 2
Published: over 3 years ago

10.1038/sdata.2018.9

The Brain/MINDS 3D digital marmoset brain atlas
Cited by: 67
Author(s): Alexander Woodward, Tsutomu Hashikawa, Masami Maeda, Takaaki Kaneko, Keigo Hikishima, Atsushi Iriki, Hideyuki Okano, Yoko Yamaguchi
Software Mentions: 2
Published: almost 7 years ago

10.1038/s41598-018-25916-5

Motion compensated micro-CT reconstruction for in-situ analysis of dynamic processes
Cited by: 25
Author(s): Thomas De Schryver, Manuel Dierick, Marjolein Heyndrickx, Jeroen Van Stappen, Matthieu N. Boone, Luc Van Hoorebeke
Software Mentions: 2
Published: over 6 years ago

10.1038/s41598-021-82716-0

IE-Map: a novel in-vivo atlas and template of the human inner ear
Cited by: 5
Author(s): Seyed-Ahmad Ahmadi, Theresa Raiser, Ria Maxine Ruehl, Virginia L. Flanagin, Peter zu Eulenburg
Software Mentions: 2
Published: almost 4 years ago

10.3390/s20185097

3D Deep Learning on Medical Images: A Review
Cited by: 214
Author(s): Satya P. Singh, Lipo Wang, Sukrit Gupta, Haveesh Goli, Parasuraman Padmanabhan, Balázs Gulyás
Software Mentions: 2
Published: about 4 years ago

10.3390/s20216219

Solar Panel Detection within Complex Backgrounds Using Thermal Images Acquired by UAVs
Cited by: 21
Author(s): Jhon Jairo Vega Díaz, Michiel Vlaminck, Dionysios Lefkaditis, Sergio Alejandro Orjuela Vargas, Hiêp Luong
Software Mentions: 2
Published: about 4 years ago

10.3390/jimaging5030039

Image Registration with Particles, Examplified with the Complex Plasma Laboratory PK-4 on Board the International Space Station
Cited by: 4
Author(s): Mierk Schwabe, M. Rubin-Zuzic, Christoph Räth, Mikhail Pustylnik
Software Mentions: 2
Published: over 5 years ago

10.7554/eLife.57613

Accurate and versatile 3D segmentation of plant tissues at cellular resolution
Cited by: 123
Author(s): Adrian Wolny, Lorenzo Cerrone, Athul Vijayan, Rachele Tofanelli, Amaya Vilches Barro, Marion Louveaux, Christian Wenzl, Soeren Strauss, David Wilson-Sánchez, Rena Lymbouridou, Susanne S Steigleder, Constantin Pape, Alberto Bailoni, Salva Duran-Nebreda, George W. Bassel, Jan U. Lohmann, Miltos Tsiantis, Fred A. Hamprecht, Kay Schneitz, Alexis Maizel, Anna Kreshuk
Software Mentions: 2
Published: over 4 years ago

10.1155/2021/5550914

Estimating Gender and Age from Brain Structural MRI of Children and Adolescents: A 3D Convolutional Neural Network Multitask Learning Model
Cited by: 4
Author(s): Sérgio Leonardo Mendes, Walter Hugo Lopez Pinaya, Pedro Mário Pan, João Ricardo Sato
Software Mentions: 1
Published: over 3 years ago

10.1007/s00216-018-1156-x

Reference database design for the automated analysis of microplastic samples based on Fourier transform infrared (FTIR) spectroscopy
Cited by: 287
Author(s): Sebastian Primpke, Marisa A. Wirth, Claudia Lorenz, Gunnar Gerdts
Software Mentions: 1
Published: over 6 years ago

10.3390/cancers13133300

Deep Learning-Based Stage-Wise Risk Stratification for Early Lung Adenocarcinoma in CT Images: A Multi-Center Study
Cited by: 7
Author(s): Jing Gong, Jiyu Liu, Haiming Li, Hui Zhu, Tingting Wang, Tingdan Hu, Menglei Li, Xianwu Xia, Xianfang Hu, Weijun Peng, Shengping Wang, Tong Tong, Yajia Gu
Software Mentions: 1
Published: over 3 years ago

10.1186/s12938-020-00783-2

Radiotherapy dose distribution prediction for breast cancer using deformable image registration
Cited by: 6
Author(s): Xue Bai, Binbing Wang, Shengye Wang, Zihao Wu, Chengjun Gou, Qing Hou
Software Mentions: 1
Published: over 4 years ago

10.1109/TMI.2019.2894322

Automatic 3D Bi-Ventricular Segmentation of Cardiac Images by a Shape-Refined Multi- Task Deep Learning Approach
Cited by: 156
Author(s): Jinming Duan, Ghalib Bello, Jo Schlemper, Wenjia Bai, Timothy J W Dawes, Carlo Biffi, Antonio de Marvao, Georgia Doumoud, Declan P O’Regan, Daniel Rueckert
Software Mentions: 1
Published: about 5 years ago

10.1186/s12880-017-0236-2

Improving the evaluation of cardiac function in rats at 7T with denoising filters: a comparison study
Cited by: 3
Author(s): Benoit Tricot, Maxime Descoteaux, Matthieu Dumont, Frédéric Chagnon, Luc Tremblay, André C. Carpentier, Olivier Lesur, Martin Lepage, Alain Lalande
Software Mentions: 1
Published: almost 7 years ago

10.1186/s13244-021-01044-z

Fully automated pelvic bone segmentation in multiparameteric MRI using a 3D convolutional neural network
Cited by: 10
Author(s): Xiang Liu, Chao Han, He Wang, Jingyun Wu, Yingpu Cui, Xiaodong Zhang, Xiaoying Wang
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0170703

Effects of Orientation and Anisometry of Magnetic Resonance Imaging Acquisitions on Diffusion Tensor Imaging and Structural Connectomes
Cited by: 6
Author(s): Raúl Tudela, Emma Muñoz‐Moreno, Xavier López-Gil, Guadalupe Sòria
Software Mentions: 1
Published: almost 8 years ago

10.1186/s40644-020-0286-5

Quantification of tumor burden in multiple myeloma by atlas-based semi-automatic segmentation of WB-DWI
Cited by: 15
Author(s): Sílvia D. Almeida, João Santinha, Francisco P. M. Oliveira, Joana Ip, M. V. Lisitskaya, João Lourenço, Aycan Uysal, Celso Matos, Cristina João, Nikolaos Papanikolaou
Software Mentions: 1
Published: almost 5 years ago

10.1155/2018/2512037

Computer-Aided Grading of Gliomas Combining Automatic Segmentation and Radiomics
Cited by: 57
Author(s): Wei Chen, Boqiang Liu, Suting Peng, Jiawei Sun, Qiao Xu
Software Mentions: 1
Published: almost 7 years ago

10.3390/brainsci11060720

Semi-Supervised Learning in Medical MRI Segmentation: Brain Tissue with White Matter Hyperintensity Segmentation Using FLAIR MRI
Cited by: 2
Author(s): ZunHyan Rieu, JeeYoung Kim, Regina Ey Kim, Minho Lee, Min Kyoung Lee, Se Won Oh, Sheng‐Min Wang, Nak-Young Kim, Dong Woo Kang, Hyun Kook Lim, Donghyeon Kim
Software Mentions: 1
Published: over 3 years ago

10.1007/s11548-021-02372-7

Generation of annotated multimodal ground truth datasets for abdominal medical image registration
Cited by: 10
Author(s): Dominik Bauer, Tom Russ, Barbara I. Waldkirch, Christian Tönnes, W. Paul Segars, Lothar R. Schad, Frank G. Zöllner, Alena-Kathrin Golla
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-020-71080-0

Automatic prostate and prostate zones segmentation of magnetic resonance images using DenseNet-like U-net
Cited by: 67
Author(s): Nader Aldoj, Federico Biavati, Florian Michallek, Sebastian Stober, Marc Dewey
Software Mentions: 1
Published: about 4 years ago

10.1038/s41598-020-76459-7

A fast and fully-automated deep-learning approach for accurate hemorrhage segmentation and volume quantification in non-contrast whole-head CT
Cited by: 40
Author(s): Ali Arab, Betty Chinda, George Medvedev, William Siu, Hui Guo, Tao Gu, Sylvain Moreno, Ghassan Hamarneh, Martin Ester, Xiaowei Song
Software Mentions: 1
Published: about 4 years ago

10.1155/2021/6679603

Automated Segmentation Method for Low Field 3D Stomach MRI Using Transferred Learning Image Enhancement Network
Cited by: 4
Author(s): Luguang Huang, Mengbin Li, Shuiping Gou, Xiaopeng Zhang, Kun Jiang
Software Mentions: 1
Published: almost 4 years ago

10.1155/2021/6683931

Automated Classification and Segmentation in Colorectal Images Based on Self-Paced Transfer Network
Cited by: 9
Author(s): Yao Yao, Shuiping Gou, Rong Tian, Xiangrong Zhang, Shuixiang He
Software Mentions: 1
Published: almost 4 years ago

10.1186/s40001-020-00450-1

Development of a quantitative segmentation model to assess the effect of comorbidity on patients with COVID-19
Cited by: 5
Author(s): Cui Zhang, Guoren Yang, Chao Cai, Zhihua Xu, Hai Wu, Youmin Guo, Zongyu Xie, Hai Shi, Guohua Cheng, Jian Wang
Software Mentions: 1
Published: about 4 years ago

10.1080/14737159.2020.1865806

Predicting wet age-related macular degeneration (AMD) using DARC (detecting apoptosing retinal cells) AI (artificial intelligence) technology
Cited by: 6
Author(s): Paolo Corazza, John Maddison, Paolo Bonetti, Li Guo, Vy Luong, Alan Garfinkel, Saad Younis, M. Francesca Cordeiro
Software Mentions: 1
Published: almost 4 years ago

10.1186/s40658-021-00375-6

Automated assessment of functional lung imaging with 68Ga-ventilation/perfusion PET/CT using iterative histogram analysis
Cited by: 3
Author(s): Lachlan McIntosh, Price Jackson, Nicholas Hardcastle, Mathias Bressel, Tomas Kron, Jason Callahan, Daniel Steinfort, Nicholas Bucknell, Michael S Hofman, Shankar Siva
Software Mentions: 1
Published: over 3 years ago

10.1186/s40658-019-0268-5

Towards standardization of absolute SPECT/CT quantification: a multi-center and multi-vendor phantom study
Cited by: 43
Author(s): Steffie M B Peters, Niels R van der Werf, Marcel Segbers, Floris H. P. van Velden, Roel Wierts, Koos J. A. K. Blokland, Mark Konijnenberg, Sergiy V. Lazarenko, Eric P. Visser, Martin Gotthardt
Software Mentions: 1
Published: almost 5 years ago

10.3390/diagnostics11091621

Automated Final Lesion Segmentation in Posterior Circulation Acute Ischemic Stroke Using Deep Learning
Cited by: 4
Author(s): Riaan Zoetmulder, Praneeta Konduri, Iris V Obdeijn, Efstratios Gavves, Ivana Išgum, Charles B. L. M. Majoie, Diederik W.J. Dippel, Yvo B.W.E.M. Roos, Mayank Goyal, Peter Mitchell, Bruce C.V. Campbell, Demetrius K. Lopes, G Reimann, Tudor G Jovin, Jeffrey L. Saver, Keith W. Muir, Phil White, Serge Bracard, Bailiang Chen, Scott Brown, Wouter J. Schonewille, Erik van der Hoeven, Volker Puetz, Henk A. Marquering
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-020-79336-5

A 3D-CNN model with CT-based parametric response mapping for classifying COPD subjects
Cited by: 28
Author(s): Thao Thi Ho, Taewoo Kim, Woo Jin Kim, Chang Hyun Lee, Kum Ju Chae, So Hyeon Bak, Seungwon Kwon, Gong Yong Jin, Eun Kee Park, Seock Hwan Choi
Software Mentions: 1
Published: almost 4 years ago

10.1016/j.dib.2021.107191

The Erasmus Glioma Database (EGD): Structural MRI scans, WHO 2016 subtypes, and segmentations of 774 patients with glioma
Cited by: 9
Author(s): Sebastian R. van der Voort, Fatih Incekara, Maarten M.J. Wijnenga, Georgios Kapsas, Renske Gahrmann, Joost W. Schouten, Hendrikus J. Dubbink, Arnaud Vincent, Martin J. van den Bent, Pim J. French, Stefan Klein, Marion Smits
Software Mentions: 1
Published: over 3 years ago

10.3389/fnins.2021.662005

Harmonized Segmentation of Neonatal Brain MRI
Cited by: 8
Author(s): Irina Grigorescu, Lucy Vanes, Alena Uus, Dafnis Batalle, Lucilio Cordero‐Grande, Chiara Nosarti, A. David Edwards, Joseph V. Hajnal, Marc Modat, Maria Deprez
Software Mentions: 1
Published: over 3 years ago

10.1523/ENEURO.0014-19.2019

<i>In-Vivo</i>Quantitative Image Analysis of Age-Related Morphological Changes of<i>C. elegans</i>Neurons Reveals a Correlation between Neurite Bending and Novel Neurite Outgrowths
Cited by: 11
Author(s): Max Hess, Álvaro Gomariz, Orçun Göksel, Collin Y. Ewald
Software Mentions: 1
Published: over 5 years ago

10.1016/j.dib.2021.106824

Specimen specific imaging and joint mechanical testing data for next generation virtual knees
Cited by: 5
Author(s): Snehal Chokhandre, Erica E. Neumann, Tara F. Nagle, Robb Colbrunn, Chris A. Flask, Ceylan Çolak, Jason P. Halloran, Ahmet Erdemir
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-91191-6

Automatic and unbiased segmentation and quantification of myofibers in skeletal muscle
Cited by: 42
Author(s): Ariel Waisman, Alessandra M. Norris, Martín Elías Costa, Daniel Kopinke
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-021-96030-2

Towards a better understanding of the posttreatment hemodynamic behaviors in femoropopliteal arteries through personalized computational models based on OCT images
Cited by: 2
Author(s): Can Gökgöl, Yasushi Ueki, Daniel Abler, Nicolas Diehm, Rolf P. Engelberger, Tatsuhiko Otsuka, Lorenz Räber, Philippe Büchler
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2021.748229

Lower-Grade Gliomas: An Epidemiological Voxel-Based Analysis of Location and Proximity to Eloquent Regions
Cited by: 5
Author(s): Tomás Gómez Vecchio, Alice Neimantaite, Alba Corell, Jiří Bártek, Margret Jensdottir, Ingerid Reinertsen, Ole Solheim, Asgeir Store Jakola
Software Mentions: 1
Published: about 3 years ago

10.1038/s41598-021-99434-2

Quantification of retinal blood leakage in fundus fluorescein angiography in a retinal angiogenesis model
Cited by: 6
Author(s): César H. Comin, Demetrios I. Tsirukis, Ye Sun, Xiaoyin Xu
Software Mentions: 1
Published: about 3 years ago

Projects: pypi: SimpleITK

Papers Mentioning SimpleITK 74