pypi: pyradiomics | Projects | Ecosyste.ms: Papers

10.3389/fonc.2021.640881

Exploration of an Integrative Prognostic Model of Radiogenomics Features With Underlying Gene Expression Patterns in Clear Cell Renal Cell Carcinoma
Cited by: 10
Author(s): Yeqian Huang, Hao Zeng, Linyan Chen, Yuling Luo, Xuelei Ma, Ye Zhao
Software Mentions: 8
Published: over 3 years ago

10.3389/fonc.2020.523327

The Impact of Preoperative Radiomics Signature on the Survival of Breast Cancer Patients With Residual Tumors After NAC
Cited by: 4
Author(s): Ling Zhang, Xinhua Jiang, Xiaoming Xie, Yaopan Wu, Shaoquan Zheng, Wenwen Tian, Xinhua Xie, Li Li
Software Mentions: 8
Published: almost 4 years ago

10.1007/s00259-020-04864-1

A CT-based radiomics model to detect prostate cancer lymph node metastases in PSMA radioguided surgery patients
Cited by: 25
Author(s): Jan C. Peeken, Mohamed A. Shouman, Markus Kroenke, Isabel Rauscher, Tobias Maurer, Jürgen E. Gschwend, Matthias Eiber, Stephanie E. Combs
Software Mentions: 8
Published: over 4 years ago

10.1186/s13550-020-00744-9

Repeatability of two semi-automatic artificial intelligence approaches for tumor segmentation in PET
Cited by: 12
Author(s): Elisabeth Pfaehler, Liesbet Mesotten, Gem Kramer, Michiel Thomeer, Karolien Vanhove, Johan de Jong, Peter Adriaensens, Otto S. Hoekstra, Ronald Boellaard
Software Mentions: 6
Published: almost 4 years ago

10.1038/s41598-021-95748-3

Comparison of machine and deep learning for the classification of cervical cancer based on cervicography images
Cited by: 31
Author(s): Ye Rang Park, Young Jae Kim, Woong Ju, Kae Hyun Nam, Soonyung Kim, Kwang Gi Kim
Software Mentions: 5
Published: over 3 years ago

10.3389/fonc.2021.590836

Positron Emission Tomography-Based Short-Term Efficacy Evaluation and Prediction in Patients With Non-Small Cell Lung Cancer Treated With Hypo-Fractionated Radiotherapy
Cited by: 3
Author(s): Yiqing Jiang, Qin Gao, Chen Han, Xiangxiang Shi, Jingbo Wu, Yue Chen, Yan Zhang, Haowen Pang, Sheng Lin
Software Mentions: 5
Published: over 3 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/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/cancers13163965

Multicenter DSC–MRI-Based Radiomics Predict IDH Mutation in Gliomas
Cited by: 21
Author(s): Georgios C. Manikis, Georgios Ioannidis, Loizos Siakallis, Katerina Nikiforaki, Cassia Michael, Diana Vozlic, Katarina Surlan-Popović, Max Wintermark, Sotirios Bisdas, Kostas Marias
Software Mentions: 4
Published: over 3 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/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/s00330-020-07624-9

A PET/CT nomogram incorporating SUVmax and CT radiomics for preoperative nodal staging in non-small cell lung cancer
Cited by: 20
Author(s): Yunming Xie, Hongguang Zhao, Yan Guo, Fanyang Meng, Xiangchun Liu, Yiying Zhang, Xiaochen Huai, Qianting Wong, Yu Fu, Huimao Zhang
Software Mentions: 4
Published: over 3 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

10.3389/fonc.2019.00269

Dosiomics: Extracting 3D Spatial Features From Dose Distribution to Predict Incidence of Radiation Pneumonitis
Cited by: 80
Author(s): Bin Liang, Hui Yan, Yuan Tian, Xinyuan Chen, Lingling Yan, Tao Zhang, Zongmei Zhou, Lvhua Wang, Jianrong Dai
Software Mentions: 3
Published: over 5 years ago

10.3389/fonc.2020.01646

Ultrasound-Based Radiomics Analysis for Preoperatively Predicting Different Histopathological Subtypes of Primary Liver Cancer
Cited by: 33
Author(s): Yung-Hsing Peng, Peng Lin, Linyong Wu, Da Wan, Yujia Zhao, Li Liang, Xin Ma, Hui Qin, Yichen Liu, Xin Li, Xinrong Wang, Yun He, Hong Yang
Software Mentions: 3
Published: about 4 years ago

10.3390/cancers13020339

Radiomics and Dosiomics for Predicting Local Control after Carbon-Ion Radiotherapy in Skull-Base Chordoma
Cited by: 20
Author(s): Giulia Buizza, Chiara Paganelli, E. D’Ippolito, Giulia Fontana, Silvia Molinelli, Lorenzo Preda, Giulia Riva, Alberto Iannalfi, Francesca Valvo, Ester Orlandi, Guido Baroni
Software Mentions: 3
Published: almost 4 years ago

10.1117/1.JMI.7.4.042803

Quantitative imaging feature pipeline: a web-based tool for utilizing, sharing, and building image-processing pipelines
Cited by: 17
Author(s): Sarah A. Mattonen, Dev Gude, Sebastian Echegaray, Shaimaa Bakr, Daniel L. Rubin, Sandy Napel
Software Mentions: 3
Published: over 4 years ago

10.1007/s00330-020-07635-6

Radiomics score predicts acute respiratory distress syndrome based on the initial CT scan after trauma
Cited by: 9
Author(s): Sebastian Röhrich, Johannes Hofmanninger, Lukas Leopold Negrin, Georg Langs, Helmut Prosch
Software Mentions: 3
Published: over 3 years ago

10.3389/fonc.2018.00648

Use of Radiomics Combined With Machine Learning Method in the Recurrence Patterns After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: A Preliminary Study
Cited by: 39
Author(s): Shuangshuang Li, Kongcheng Wang, Zeyu Hou, Ju Yang, Wei Ren, Siyang Gao, Fanyan Meng, Puyuan Wu, Baorui Liu, Juan Liu, Jing Yan
Software Mentions: 3
Published: almost 6 years ago

10.3389/fonc.2020.569435

Utility of Radiomics for Predicting Patient Survival in Hepatocellular Carcinoma With Portal Vein Tumor Thrombosis Treated With Stereotactic Body Radiotherapy
Cited by: 8
Author(s): Kui Wu, Yongjie Shui, Wenchuan Sun, Sheng Lin, Haowen Pang
Software Mentions: 3
Published: about 4 years ago

10.3390/cancers13081929

Prognostic Assessment in High-Grade Soft-Tissue Sarcoma Patients: A Comparison of Semantic Image Analysis and Radiomics
Cited by: 20
Author(s): Jan C. Peeken, Jan Neumann, Rebecca Asadpour, Yannik Leonhardt, J. Moreira, Daniel S. Hippe, Olena Klymenko, Sarah C. Foreman, Claudio E. von Schacky, Matthew B. Spraker, Stephanie K. Schaub, Hendrik Dapper, Carolin Knebel, Nina A. Mayr, Henry C. Woodruff, Philippe Lambin, Matthew J. Nyflot, Alexandra S. Gersing, Stephanie E. Combs
Software Mentions: 2
Published: over 3 years ago

10.3390/cancers13143611

Assessing Versatile Machine Learning Models for Glioma Radiogenomic Studies across Hospitals
Cited by: 9
Author(s): Risa Karakida Kawaguchi, Manabu Takahashi, Makito Miyake, Manabu Kinoshita, Satoshi Takahashi, Koichi Ichimura, Ryuji Hamamoto, Yoshitaka Narita, Jun Sese
Software Mentions: 2
Published: over 3 years ago

10.3389/fnagi.2019.00167

Radiomic Features of the Nigrosome-1 Region of the Substantia Nigra: Using Quantitative Susceptibility Mapping to Assist the Diagnosis of Idiopathic Parkinson's Disease
Cited by: 41
Author(s): Zenghui Cheng, Jiping Zhang, Naying He, Li Yan, Yaofeng Wen, Hongmin Xu, Rongbiao Tang, Zhijia Jin, E. Mark Haacke, Fuhua Yan, Dahong Qian
Software Mentions: 2
Published: over 5 years ago

10.3389/fmolb.2020.613918

A Metabolism-Related Radiomics Signature for Predicting the Prognosis of Colorectal Cancer
Cited by: 11
Author(s): Du Cai, Xin Duan, Wei Wang, Zhichao Huang, Qiqi Zhu, Min-Er Zhong, Min‐Yi Lv, Cheng‐Hang Li, Wei-Bin Kou, Xiaojian Wu, Feng Gao
Software Mentions: 2
Published: almost 4 years ago

10.3389/fonc.2021.716849

Spleen Radiomics Signature: A Potential Biomarker for Prediction of Early and Late Recurrences of Hepatocellular Carcinoma After Resection
Cited by: 3
Author(s): Pinxiong Li, Lei Wu, Zhenhui Li, Li Jiao, Weitao Ye, Zhenwei Shi, Zeyan Xu, Chao Zhu, Huifen Ye, Zaiyi Liu, Changhong Liang
Software Mentions: 2
Published: about 3 years ago

10.3389/fonc.2021.637794

Preoperative Prediction of Lymphovascular Space Invasion in Cervical Cancer With Radiomics –Based Nomogram
Cited by: 9
Author(s): Wei Du, Yu Wang, Dongdong Li, Xia Xiang, Qiaoyue Tan, Xiaoming Xiong, Zhiping Li
Software Mentions: 2
Published: over 3 years ago

10.3389/fonc.2021.710649

Radiomics Analysis of Fat-Saturated T2-Weighted MRI Sequences for the Prediction of Prognosis in Soft Tissue Sarcoma of the Extremities and Trunk Treated With Neoadjuvant Radiotherapy
Cited by: 5
Author(s): Silin Chen, Ning Li, Yuan Tang, Bin Chen, Hui Fang, Shunan Qi, Ninging Lu, Yong Yang, Yong-Wen Song, Yueping Liu, Shulian Wang, Yexiong Li, Jing Jin
Software Mentions: 2
Published: about 3 years ago

10.3389/fonc.2021.644994

Preoperative Assessment for Event-Free Survival With Hepatoblastoma in Pediatric Patients by Developing a CT-Based Radiomics Model
Cited by: 5
Author(s): Yi Jiang, Jingjing Sun, Yuwei Xia, Yan Cheng, Linjun Xie, Xia Guo, Yingkun Guo
Software Mentions: 2
Published: over 3 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: over 3 years ago

10.1186/s13014-021-01805-6

Radiomics for prediction of radiation-induced lung injury and oncologic outcome after robotic stereotactic body radiotherapy of lung cancer: results from two independent institutions
Cited by: 10
Author(s): Khaled Bousabarah, Oliver Blanck, Susanne Temming, Maria-Lisa Wilhelm, Mauritius Hoevels, Wolfgang Baus, Daniel Rueß, Veerle Visser‐Vandewalle, Maximilian I. Ruge, Harald Treuer, Martin Köcher
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-021-97865-5

Prediction of blood supply in vestibular schwannomas using radiomics machine learning classifiers
Cited by: 8
Author(s): Dixiang Song, Yixuan Zhai, Tao Xue, Chao Zhao, Minkai Wang, Xinting Wei
Software Mentions: 2
Published: about 3 years ago

10.1007/s00330-020-07320-8

Role of computed tomography texture analysis using dual-energy-based bone marrow imaging for multiple myeloma characterization: comparison with histology and established serologic parameters
Cited by: 11
Author(s): Christian Philipp Reinert, Eva Krieg, Michael Esser, Konstantin Nikolaou, Hans Bösmüller, Marius Horger
Software Mentions: 1
Published: about 4 years ago

10.1186/s13550-021-00774-x

Correlation of [18F]florbetaben textural features and age of onset of Alzheimer’s disease: a principal components analysis approach
Cited by: 3
Author(s): Jing Li, Emanuele Antonecchia, Marco Camerlenghi, Agostino Chiaravalloti, Qian Chu, Alfonso Di Costanzo, Zhen Li, Lin Wan, Xiangsong Zhang, N. D’Ascenzo, Orazio Schillaci, Qingguo Xie
Software Mentions: 1
Published: over 3 years ago

10.3390/cancers12123835

FET PET Radiomics for Differentiating Pseudoprogression from Early Tumor Progression in Glioma Patients Post-Chemoradiation
Cited by: 51
Author(s): Philipp Lohmann, Mai Amr Elahmadawy, Robin Gutsche, Jan-Michael Werner, Elena Bauer, Garry Ceccon, Martin Köcher, Christoph Lerche, Marion Rapp, Gereon R. Fink, N. Jon Shah, Karl‐Josef Langen, Norbert Galldiks
Software Mentions: 1
Published: almost 4 years ago

10.3389/fonc.2021.692973

The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics
Cited by: 8
Author(s): Cyril Jaudet, Kathleen Weyts, Alexis Lechervy, A. Batalla, Stéphane Bardet, Aurélien Corroyer‐Dulmont
Software Mentions: 1
Published: about 3 years ago

10.3390/cancers12071767

Multiparametric MRI for Prostate Cancer Characterization: Combined Use of Radiomics Model with PI-RADS and Clinical Parameters
Cited by: 63
Author(s): Piotr Woźnicki, Niklas Westhoff, Thomas S. Huber, Philipp Riffel, Matthias F. Froelich, Eva Gresser, Jost von Hardenberg, Alexander Mühlberg, Maurice Stephan Michel, Stefan O. Schoenberg, Dominik Nörenberg
Software Mentions: 1
Published: over 4 years ago

10.1007/s00261-020-02406-9

Complementary role of computed tomography texture analysis for differentiation of pancreatic ductal adenocarcinoma from pancreatic neuroendocrine tumors in the portal-venous enhancement phase
Cited by: 22
Author(s): Christian Philipp Reinert, Katrin Baumgärtner, Tobias Hepp, Michael Bitzer, Marius Horger
Software Mentions: 1
Published: almost 5 years ago

10.1038/s41598-019-46937-8

Image quality evaluation in a modern PET system: impact of new reconstructions methods and a radiomics approach
Cited by: 19
Author(s): Gabriel Reynés-Llompart, Aida Sabaté‐Llobera, Elena Llinares-Tello, Josep M. Martí-Climent, Cristina Gámez-Cenzano
Software Mentions: 1
Published: over 5 years ago

10.3389/fonc.2021.708040

Diagnosis of Invasive Meningioma Based on Brain-Tumor Interface Radiomics Features on Brain MR Images: A Multicenter Study
Cited by: 12
Author(s): Dongdong Xiao, Zhen Zhao, Jun Liu, Xuan Wang, Peng Fu, Jehane Michael Le Grange, Jihua Wang, Xuebing Guo, Hongyang Zhao, Jiawei Shi, Pingkun Yan, Xiaobing Jiang
Software Mentions: 1
Published: about 3 years ago

10.1200/CCI.19.00165

Quantitative Imaging Informatics for Cancer Research
Cited by: 11
Author(s): Andrey Fedorov, Reinhard Beichel, Jayashree Kalpathy‐Cramer, David A. Clunie, Michael D. Onken, Jörg Riesmeier, Christian Herz, Christian Bauer, Andrew Beers, Jean‐Christophe Fillion‐Robin, András Lassó, Csaba Pintér, Steve Pieper, Marco Nolden, Klaus H. Maier‐Hein, Markus D. Herrmann, Joel Saltz, Fred Prior, Fiona M. Fennessy, John M. Buatti, Ron Kikinis
Software Mentions: 1
Published: about 4 years ago

10.1155/2021/6681092

Hepatic Alveolar Echinococcosis: Predictive Biological Activity Based on Radiomics of MRI
Cited by: 2
Author(s): Ren Bo, Jian Wang, Zhoulin Miao, Yuwei Xia, Wenya Liu, Tieliang Zhang, Aierken Aikebaier
Software Mentions: 1
Published: over 3 years ago

10.7150/jca.46704

Predicting Chemotherapeutic Response for Far-advanced Gastric Cancer by Radiomics with Deep Learning Semi-automatic Segmentation
Cited by: 20
Author(s): Jingwen Tan, Lan Wang, Yong Chen, Xi Wu, Jun Ji, Lingyun Wang, Xin Xu, Longkuan Zou, Jianxing Feng, Jun Zhang, Huan Zhang
Software Mentions: 1
Published: almost 5 years ago

10.1186/s12880-021-00563-x

MRI-based radiomics approach for differentiation of hypovascular non-functional pancreatic neuroendocrine tumors and solid pseudopapillary neoplasms of the pancreas
Cited by: 14
Author(s): Tao Song, Qianwen Zhang, Shaofeng Duan, Yun Bian, Qiang Hao, Pengyi Xing, Tiegong Wang, Lu-Guang Chen, Ma C, Jianping Lu
Software Mentions: 1
Published: over 3 years ago

10.1002/cam4.3185

MRI‐based radiomics nomogram to predict synchronous liver metastasis in primary rectal cancer patients
Cited by: 26
Author(s): Minglu Liu, Xiaolu Ma, Shoukuan Fu, Yuwei Xia, Yan Jia, Jianping Lu
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2019.01500

Prediction of Radiation Pneumonitis With Dose Distribution: A Convolutional Neural Network (CNN) Based Model
Cited by: 33
Author(s): Bin Liang, Yuan Tian, Xinyuan Chen, Hui Yan, Lingling Yan, Tao Zhang, Zongmei Zhou, Lvhua Wang, Jianrong Dai
Software Mentions: 1
Published: almost 5 years ago

10.3389/fonc.2021.675458

A Machine Learning Model for Predicting a Major Response to Neoadjuvant Chemotherapy in Advanced Gastric Cancer
Cited by: 16
Author(s): Yonghe Chen, Kaikai Wei, Dan Liú, Jun Xiang, Gang Wang, Xiaochun Meng, Junsheng Peng
Software Mentions: 1
Published: over 3 years ago

10.1038/s41598-019-45766-z

Repeatability of Multiparametric Prostate MRI Radiomics Features
Cited by: 157
Author(s): Michael Schwier, Joost J.M. van Griethuysen, Mark Vangel, Steve Pieper, Sharon Peled, Clare M. Tempany, Hugo J.W.L. Aerts, Ron Kikinis, Fiona M. Fennessy, Andriy Fedorov
Software Mentions: 1
Published: over 5 years ago

10.3389/fcell.2021.675636

Toward Quantitative in vivo Label-Free Tracking of Lipid Distribution in a Zebrafish Cancer Model
Cited by: 2
Author(s): Marco Andreana, Caterina Sturtzel, Clemens P. Spielvogel, László Papp, Rainer A. Leitgeb, Wolfgang Drexler, Martin Distel, Angelika Unterhuber
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2021.709321

Development of a Nomogram Based on Preoperative Bi-Parametric MRI and Blood Indices for the Differentiation Between Cystic-Solid Pituitary Adenoma and Craniopharyngioma
Cited by: 5
Author(s): Zhen Zhao, Dongdong Xiao, Chuansheng Nie, Hao Zhang, Xiaobing Jiang, Ali Rajab Jecha, Pingkun Yan, Hongyang Zhao
Software Mentions: 1
Published: over 3 years ago

Projects: pypi: pyradiomics

Papers Mentioning pyradiomics 49