Ecosyste.ms: Papers

10.1155/2020/5418364

A Nomogram Based on Radiomics with Mammography Texture Analysis for the Prognostic Prediction in Patients with Triple-Negative Breast Cancer
Cited by: 9
Author(s): Xian Jiang, Xiuhe Zou, Jing Sun, Aiping Zheng, Chao Su
Software Mentions: 20
Published: over 4 years ago

10.3389/fonc.2021.646267

Exploring MRI Characteristics of Brain Diffuse Midline Gliomas With the H3 K27M Mutation Using Radiomics
Cited by: 13
Author(s): Qian Li, Fei Dong, Biao Jiang, Minming Zhang
Software Mentions: 18
Published: over 3 years ago

10.3389/fonc.2019.01485

The Potential of Radiomics Nomogram in Non-invasively Prediction of Epidermal Growth Factor Receptor Mutation Status and Subtypes in Lung Adenocarcinoma
Cited by: 31
Author(s): Wei Zhao, Ying Wu, Yanan Xu, Yingli Sun, Pan Gao, Min Tan, Wenrui Ma, Cheng Li, Liang Jin, Yanqing Hua, Jun Liu, Ming Li
Software Mentions: 6
Published: almost 5 years ago

10.1007/s00330-020-06957-9

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform
Cited by: 104
Author(s): Isabella Fornacon-Wood, Hitesh Mistry, Christoph Ackermann, Fiona Blackhall, A. McPartlin, Corinne Faivre-Finn, Gareth J Price, James P.B. O’Connor
Software Mentions: 5
Published: over 4 years ago

10.1186/s40644-020-00297-z

A CT-based radiomics nomogram for differentiation of focal nodular hyperplasia from hepatocellular carcinoma in the non-cirrhotic liver
Cited by: 41
Author(s): Pei Nie, Guangli Yang, Jian Guo, Jingjing Chen, Xiaoli Li, Qianqian Ji, Jie Wu, Jingjing Cui, Wenjian Xu
Software Mentions: 5
Published: almost 5 years ago

10.1097/MD.0000000000026212

The diagnostic value of a non-contrast computed tomography scan-based radiomics model for acute aortic dissection
Cited by: 3
Author(s): Zewang Zhou, Jinquan Yang, Shuntao Wang, Weihao Li, Lei Xie, Yifan Li, Changzheng Zhang
Software Mentions: 5
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

10.1016/j.cell.2017.05.029

SAF-A Regulates Interphase Chromosome Structure through Oligomerization with Chromatin-Associated RNAs
Cited by: 162
Author(s): Ryu Suke Nozawa, Lora Boteva, Dinesh C. Soares, Catherine Naughton, Alison R. Dun, Adam Buckle, Bernard Ramsahoye, Peter Christopher Bruton, Rebecca S. Saleeb, María Arnedo, Bill Hill, Rory R. Duncan, Sutherland K. Maciver, Nick Gilbert
Software Mentions: 4
Published: over 7 years ago

10.1002/mp.13844

Technical Note: Ontology‐guided radiomics analysis workflow (O‐RAW)
Cited by: 35
Author(s): Zhenwei Shi, Alberto Traverso, Johan van Soest, André Dekker, Leonard Wee
Software Mentions: 3
Published: about 5 years ago

10.1002/mp.14322

FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections
Cited by: 16
Author(s): Petros Kalendralis, Zhenwei Shi, Alberto Traverso, Ananya Choudhury, Matthijs Sloep, Ivan Zhovannik, Martijn P.A. Starmans, Detlef Grittner, Peter Feltens, R. Monshouwer, Stefan Klein, Rianne Fijten, Hugo J.W.L. Aerts, André Dekker, Johan van Soest, Leonard Wee
Software Mentions: 3
Published: over 4 years ago

10.1186/s13014-020-01692-3

A nomogram based on pretreatment CT radiomics features for predicting complete response to chemoradiotherapy in patients with esophageal squamous cell cancer
Cited by: 23
Author(s): Hui Luo, Shao-Fu Huang, Hanbing Xu, Xu‐Yuan Li, Sihan Wu, De‐Hua Wu
Software Mentions: 3
Published: about 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

10.1371/journal.pone.0256152

Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results
Cited by: 26
Author(s): Chansik An, Yae Won Park, Sung Soo Ahn, Kyunghwa Han, Hwiyoung Kim, Seung Koo Lee
Software Mentions: 3
Published: over 3 years ago

10.1038/s41598-017-14687-0

Investigation of radiomic signatures for local recurrence using primary tumor texture analysis in oropharyngeal head and neck cancer patients
Cited by: 87
Author(s): Hesham Elhalawani, Aasheesh Kanwar, Abdallah S.R. Mohamed, Arica White, James Zafereo, Andrew Wong, Joel Berends, Shady Abohashem, Bowman Williams, Jeremy M. Aymard, Subha Perni, Jay A. Messer, Benjamin W. Warren, Bassem Youssef, Pei Yang, M.A.M. Meheissen, Mona Kamal, Baher Elgohari, Rachel B. Ger, Carlos Cárdenas, Xenia Fave, Lifei Zhang, D. Mackin, G. Elisabeta Marai, David M. Vock, Guadalupe Canahuate, Stephen Y. Lai, G. Brandon Gunn, Adam S. Garden, David I. Rosenthal, Laurence Edward Court, Clifton D. Fuller
Software Mentions: 3
Published: almost 7 years ago

10.3389/fonc.2020.00053

Deep Learning vs. Radiomics for Predicting Axillary Lymph Node Metastasis of Breast Cancer Using Ultrasound Images: Don't Forget the Peritumoral Region
Cited by: 130
Author(s): Qinjun Sun, Xiaona Lin, Yuanshen Zhao, Ling Li, Kai Yan, Dong Liang, Desheng Sun, Zhi Cheng Li
Software Mentions: 3
Published: almost 5 years ago

10.1038/s41598-019-51629-4

Radiomics features on radiotherapy treatment planning CT can predict patient survival in locally advanced rectal cancer patients
Cited by: 26
Author(s): Jiazhou Wang, Lijun Shen, Haoyu Zhong, Zhen Zhou, Panpan Hu, Jacob Gah-Kok Gan, Ruiyan Luo, Weigang Hu, Zhen Zhang
Software Mentions: 3
Published: about 5 years ago

10.1186/s12880-021-00654-9

Potential of high dimensional radiomic features to assess blood components in intraaortic vessels in non-contrast CT scans
Cited by: 5
Author(s): Scherwin Mahmoudi, Simon S. Martin, Jörg Ackermann, Yauheniya Zhdanovich, Ina Koch, Thomas J. Vogl, Moritz H. Albrecht, Lukas Lenga, Simon Bernatz
Software Mentions: 3
Published: over 3 years ago

10.1155/2017/8054939

Semiautomatic Segmentation of Glioma on Mobile Devices
Cited by: 11
Author(s): Yaping Wu, Yusong Lin, Weiguo Wu, Cong Yang, Jianqin Gu, Yan Bai, Meiyun Wang
Software Mentions: 3
Published: almost 8 years ago

10.3390/cancers13081848

The Effects of In-Plane Spatial Resolution on CT-Based Radiomic Features’ Stability with and without ComBat Harmonization
Cited by: 29
Author(s): Abdalla Ibrahim, Sergey Primakov, Bruno Barufaldi, Raymond J. Acciavatti, R. Granzier, Roland Hustinx, Felix M. Mottaghy, Henry C. Woodruff, Joachim E. Wildberger, Philippe Lambin, Andrew D. A. Maidment
Software Mentions: 2
Published: over 3 years ago

10.1038/s41598-019-39651-y

MRI-based Radiomics nomogram to detect primary rectal cancer with synchronous liver metastases
Cited by: 52
Author(s): Zhenyu Shu, Songhua Fang, Zhongxiang Ding, Dewang Mao, Rui Cai, Chen Yuan-jun, Peipei Pang, Xiangyang Gong
Software Mentions: 2
Published: almost 6 years ago

10.3389/fonc.2020.01363

Identification of Predominant Histopathological Growth Patterns of Colorectal Liver Metastasis by Multi-Habitat and Multi-Sequence Based Radiomics Analysis
Cited by: 27
Author(s): Yujia Han, Fan Chai, Jingwei Wei, Yali Yue, Jin Cheng, Dongsheng Gu, Yinli Zhang, Tong Tong, Weiqi Sheng, Nan Hong, Yingjiang Ye, Yi Wang, Jie Tian
Software Mentions: 2
Published: over 4 years ago

10.1002/cam4.2709

Novel cancer therapies for advanced cutaneous melanoma: The added value of radiomics in the decision making process–A systematic review
Cited by: 15
Author(s): Antonino Guerrisi, Emiliano Loi, Sara Ungania, Michelangelo Russillo, Vicente Bruzzaniti, Fulvia Elia, Flora Desiderio, Raffaella Marconi, F. M. Solivetti, Lidia Strigari
Software Mentions: 2
Published: almost 5 years ago

10.3389/fonc.2020.01042

Development and Validation of a Radiomics Nomogram Based on 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography and Clinicopathological Factors to Predict the Survival Outcomes of Patients With Non-Small Cell Lung Cancer
Cited by: 15
Author(s): Bin Yang, Jian Zhong, Jing Zhong, Lifang Ma, Ang Li, Han Ji, Changsheng Zhou, Shaofeng Duan, Qinggen Wang, Chengzhang Zhu, Jiahe Tian, Longjiang Zhang, Feng Wang, Hong Zhu, Guangming Lu
Software Mentions: 2
Published: over 4 years ago

10.18632/oncotarget.18001

Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features
Cited by: 96
Author(s): Xin Zhang, Lin‐Feng Yan, Yu-Chuan Hu, Gang Li, Yang Yang, Yu Han, Ying-Zhi Sun, Zhicheng Liu, Qiang Tian, Ziyang Han, Le-De Liu, Bin-Quan Hu, Zi-Yu Qiu, Wen Wang, Guangbin Cui
Software Mentions: 2
Published: over 7 years ago

10.1186/s12885-018-5003-4

Preoperative diagnosis and prediction of hepatocellular carcinoma: Radiomics analysis based on multi-modal ultrasound images
Cited by: 87
Author(s): Yao Zhao, Dong Ye, Guoqing Wu, Qi Zhang, Dongjie Yang, Jinhua Yu, Wenping Wang
Software Mentions: 2
Published: about 6 years ago

10.1038/s41598-020-74599-4

Texture features from computed tomography correlate with markers of severity in acute alcohol-associated hepatitis
Cited by: 5
Author(s): Michele M. Tana, David McCoy, Briton Lee, Roshan Patel, Joseph A. Lin, Michael A. Ohliger
Software Mentions: 2
Published: about 4 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

10.1371/journal.pone.0221877

Effects of alterations in positron emission tomography imaging parameters on radiomics features
Cited by: 9
Author(s): Rachel B. Ger, Joseph Meier, R. B. Pahlka, Raymond Mumme, Clifton D. Fuller, Heng Li, Rebecca M. Howell, Rick R. Layman, R. Jason Stafford, Shouhao Zhou, Osama Mawlawi, Laurence Edward Court
Software Mentions: 2
Published: over 5 years ago

10.3390/cancers13102469

Machine Learning and Radiomics Applications in Esophageal Cancers Using Non-Invasive Imaging Methods—A Critical Review of Literature
Cited by: 12
Author(s): Chenyi Xie, Chun Pang, Benjamin Chan, Emily Y. Wong, Qi Dou, Varut Vardhanabhuti
Software Mentions: 2
Published: over 3 years ago

10.3390/diagnostics11020369

A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade
Cited by: 26
Author(s): Jose M. Castillo T, Martijn P.A. Starmans, Muhammad Arif, Wiro J. Niessen, Stefan Klein, Chris H. Bangma, Ivo G. Schoots, Jifke F. Veenland
Software Mentions: 2
Published: almost 4 years ago

10.3389/fonc.2016.00071

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology
Cited by: 254
Author(s): Weimiao Wu, Chintan Parmar, Patrick Großmann, John Quackenbush, Philippe Lambin, Johan Bussink, Raymond H. Mak, Hugo J.W.L. Aerts
Software Mentions: 2
Published: over 8 years ago

10.1002/acm2.12860

SpaceOAR© hydrogel rectal dose reduction prediction model: a decision support tool
Cited by: 2
Author(s): O. Paetkau, Isabelle Gagne, Abraham Alexander
Software Mentions: 2
Published: over 4 years ago

10.1186/s13014-018-1140-9

Effect of machine learning methods on predicting NSCLC overall survival time based on Radiomics analysis
Cited by: 47
Author(s): Wenchuan Sun, Mingyan Jiang, Jun Dang, Panchun Chang, Fang‐Fang Yin
Software Mentions: 1
Published: about 6 years ago

10.1186/s12931-021-01780-2

Combination of computed tomography imaging-based radiomics and clinicopathological characteristics for predicting the clinical benefits of immune checkpoint inhibitors in lung cancer
Cited by: 23
Author(s): Bin Yang, Liqun Zhou, Jing Zhong, Tangfeng Lv, Ang Li, Lifang Ma, Jian Zhong, Saisai Yin, Litang Huang, Changsheng Zhou, Xinyu Li, Ying Qian Ge, Xuemei Tao, Longjiang Zhang, Yong Son, Guangming Lu
Software Mentions: 1
Published: over 3 years ago

10.1038/srep13087

Machine Learning methods for Quantitative Radiomic Biomarkers
Cited by: 700
Author(s): Chintan Parmar, Patrick Großmann, Johan Bussink, Philippe Lambin, Hugo J.W.L. Aerts
Software Mentions: 1
Published: over 9 years ago

10.1038/srep11044

Radiomic feature clusters and Prognostic Signatures specific for Lung and Head & Neck cancer
Cited by: 361
Author(s): Chintan Parmar, Ralph T.H. Leijenaar, Patrick Großmann, Emmanuel Rios Velazquez, Johan Bussink, D. Rietveld, Michelle M. Rietbergen, Benjamin Haibe‐Kains, Philippe Lambin, Hugo J.W.L. Aerts
Software Mentions: 1
Published: over 9 years ago

10.1038/s41598-018-37984-8

Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features
Cited by: 36
Author(s): Augustin Lecler, Loïc Duron, D. Balvay, Julien Savatovsky, O. Bergès, Mathieu Zmuda, E. Farah, O. Galatoire, Afef Bouchouicha, Laure Fournier
Software Mentions: 1
Published: almost 6 years ago

10.1038/s41598-020-66691-6

A Neural Network Approach to Identify the Peritumoral Invasive Areas in Glioblastoma Patients by Using MR Radiomics
Cited by: 24
Author(s): Jiun-Lin Yan, Chao Li, Anouk van der Hoorn, Natalie R. Boonzaier, Tomasz Matys, Stephen J. Price
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-70940-z

MRI-based radiomics in breast cancer: feature robustness with respect to inter-observer segmentation variability
Cited by: 44
Author(s): R. Granzier, N. M. H. Verbakel, Abdalla Ibrahim, Janita E. van Timmeren, Thiemo J A van Nijnatten, Ralph T.H. Leijenaar, Marc Lobbes, Marjolein L. Smidt, Henry C. Woodruff
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-020-71364-5

Convolutional neural networks versus radiologists in characterization of small hypoattenuating hepatic nodules on CT: a critical diagnostic challenge in staging of colorectal carcinoma
Cited by: 6
Author(s): Korosh Khalili, Raymond L. Lawlor, Marina Pourafkari, Hua Lu, Pascal N. Tyrrell, Tae Kyoung Kim, Hyun‐Jung Jang, Sarah A. Johnson, Anne L. Martel
Software Mentions: 1
Published: over 4 years ago

10.1038/s41598-021-82760-w

Assessing robustness of carotid artery CT angiography radiomics in the identification of culprit lesions in cerebrovascular events
Cited by: 23
Author(s): Elizabeth Le, Leonardo Rundo, Jason M. Tarkin, Nicholas Evans, Mohammed Chowdhury, Patrick A. Coughlin, Holly Pavey, Conrad Wall, Fulvio Zaccagna, Ferdia A. Gallagher, Yuan Huang, Rouchelle Sriranjan, Anthony Le, Jonathan R. Weir‐McCall, Michael Roberts, Fiona J. Gilbert, Elizabeth A. Warburton, Carola‐Bibiane Schönlieb, Evis Sala, James H.F. Rudd
Software Mentions: 1
Published: almost 4 years ago

10.1038/s41398-021-01586-2

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum
Cited by: 18
Author(s): Minji Bang, Jihwan Eom, Chansik An, Sooyon Kim, Yae Won Park, Sung Soo Ahn, Jinna Kim, Seung Koo Lee, Sanghyuk Lee
Software Mentions: 1
Published: over 3 years ago

10.4172/2167-7964.1000218

Potential Application of Radiomics for Differentiating Solitary Pulmonary Nodules
Cited by: 11
Author(s): Kaikai Wei, Huifang Su, Guofeng Zhou, Rong Zhang, Peiqiang Cai, Yi Fan, Conghua Xie, Baowei Fei, Zhenfeng Zhang
Software Mentions: 1
Published: almost 9 years ago

10.3390/ijms22084159

PET Molecular Imaging: A Holistic Review of Current Practice and Emerging Perspectives for Diagnosis, Therapeutic Evaluation and Prognosis in Clinical Oncology
Cited by: 33
Author(s): Valentin Duclos, Alex Iep, Léa Gomez, Lucas Goldfarb, Florent L. Besson
Software Mentions: 1
Published: over 3 years ago

10.1259/bjro.20200073

Radiomics AI prediction for head and neck squamous cell carcinoma (HNSCC) prognosis and recurrence with target volume approach
Cited by: 13
Author(s): Tang Fh, Chu Cyw, Eva Y. W. Cheung
Software Mentions: 1
Published: almost 4 years ago

10.3390/jpm11070602

Radiomics in Lung Diseases Imaging: State-of-the-Art for Clinicians
Cited by: 30
Author(s): Anne‐Noëlle Frix, François Cousin, Fabio Bottari, Akshayaa Vaidyanathan, Colin Desir, Wim Vos, Seán Walsh, Mariaelena Occhipinti, Pierre Lovinfosse, Ralph T.H. Leijenaar, Roland Hustinx, Paul Meunier, Renaud Louis, Philippe Lambin, Julien Guiot
Software Mentions: 1
Published: over 3 years ago

10.1186/s12885-020-07557-y

Prediction of the clinicopathological subtypes of breast cancer using a fisher discriminant analysis model based on radiomic features of diffusion-weighted MRI
Cited by: 13
Author(s): Ming Ni, Xiaoming Zhou, Jingwei Liu, Haiyang Yu, Yong Gao, Xuexi Zhang, Zhiming Li
Software Mentions: 1
Published: about 4 years ago

10.1186/s12885-020-07053-3

Diagnosis of triple negative breast cancer based on radiomics signatures extracted from preoperative contrast-enhanced chest computed tomography
Cited by: 15
Author(s): Qian Feng, Qiang Hu, Yan Liu, Tao Yang, Ziyi Yin
Software Mentions: 1
Published: over 4 years ago

10.1186/s12883-020-1613-y

Better efficacy in differentiating WHO grade II from III oligodendrogliomas with machine-learning than radiologist’s reading from conventional T1 contrast-enhanced and fluid attenuated inversion recovery images
Cited by: 8
Author(s): Shasha Zhao, Xiu-Long Feng, Yu-Chuan Hu, Yu Han, Qiang Tian, Ying-Zhi Sun, Jie Zhang, Xiangwei Ge, Si-Chao Cheng, Xiuli Li, Li Mao, Shu-Ning Shen, Lin‐Feng Yan, Guangbin Cui, Wen Wang
Software Mentions: 1
Published: almost 5 years ago

10.1155/2021/6656773

Development and Validation of a Magnetic Resonance Imaging-Based Machine Learning Model for TMJ Pathologies
Cited by: 11
Author(s): Kaan Orhan, Lukas Driesen, Sohaib Shujaat, Reinhilde Jacobs, Xiaodong Chai
Software Mentions: 1
Published: over 3 years ago

10.1259/bjr.20160665

Quantitative radiomics studies for tissue characterization: a review of technology and methodological procedures
Cited by: 252
Author(s): Ruben T. H. M. Larue, Gilles Defraene, Dirk De Ruysscher, Philippe Lambin, Wouter van Elmpt
Software Mentions: 1
Published: almost 8 years ago

10.1002/brb3.1970

Radiomics‐based classification models for HBV‐related cirrhotic patients with covert hepatic encephalopathy
Cited by: 2
Author(s): Sha Luo, Zhiming Zhou, Dajing Guo, Chuanming Li, Huan Liu, Xiaojia Wu, Shuang Liang, Xiaoyan Zhao, Ting Chen, Dong Sun, Xinlin Shi, Zhong Wei-jia, Wei Zhang
Software Mentions: 1
Published: about 4 years ago

10.1186/s40644-020-00341-y

The application of texture quantification in hepatocellular carcinoma using CT and MRI: a review of perspectives and challenges
Cited by: 18
Author(s): Ismail Bilal Masokano, Wenguang Liu, Sisi Xie, Dama Faniriantsoa Henrio Marcellin, Yigang Pei, Wenzheng Li
Software Mentions: 1
Published: about 4 years ago

10.1088/1361-6560/abfa34

Optimising use of 4D-CT phase information for radiomics analysis in lung cancer patients treated with stereotactic body radiotherapy
Cited by: 8
Author(s): A. Davey, Marcel van Herk, Corinne Faivre-Finn, Sean Brown, A. McWilliam
Software Mentions: 1
Published: over 3 years ago

10.1371/journal.pone.0222509

Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients
Cited by: 51
Author(s): Rachel B. Ger, Shouhao Zhou, Baher Elgohari, Hesham Elhalawani, D. Mackin, Joseph Meier, Callistus Nguyen, Brian Anderson, Jing Ning, Clifton D. Fuller, Heng Li, Rebecca M. Howell, Rick R. Layman, Osama Mawlawi, R. Jason Stafford, Hugo J.W.L. Aerts, Laurence Edward Court
Software Mentions: 1
Published: over 5 years ago

10.3390/cancers13143590

Radiomics in the Setting of Neoadjuvant Radiotherapy: A New Approach for Tailored Treatment
Cited by: 16
Author(s): Valerio Nardone, Luca Boldrini, Roberta Grassi, Davide Franceschini, I. Morelli, Carlotta Becherini, Mauro Loi, Daniela Greto, Isacco Desideri
Software Mentions: 1
Published: over 3 years ago

10.3390/cancers13040814

FDG-PET Radiomics for Response Monitoring in Non-Small-Cell Lung Cancer Treated with Radiation Therapy
Cited by: 18
Author(s): M. Carles, Tobias Fechter, Gianluca Radicioni, Tanja Schimek-Jasch, S. Adebahr, Constantinos Zamboglou, Nils H. Nicolay, Luis Martí‐Bonmatí, Ursula Nestle, Anca L. Grosu, Dimos Baltas, Michael Mix, Eleni Gkika
Software Mentions: 1
Published: almost 4 years ago

10.1186/s13550-020-00669-3

FDG PET versus CT radiomics to predict outcome in malignant pleural mesothelioma patients
Cited by: 21
Author(s): Matea Pavic, Marta Bogowicz, Johannes Kraft, Diem Vuong, Michael Mayinger, S.G.C. Kroeze, Martina Friess, Thomas Frauenfelder, Nicolaus Andratschke, Martin W. Huellner, Walter Weder, Matthias Gückenberger, Stephanie Tanadini‐Lang, Isabelle Opitz
Software Mentions: 1
Published: over 4 years ago

10.1093/ehjci/jeaa028

Cardiac magnetic resonance radiomics: basic principles and clinical perspectives
Cited by: 53
Author(s): Zahra Raisi‐Estabragh, Cristian Izquierdo, Víctor M. Campello, Carlos Martín-Isla, Akshay Jaggi, Nicholas C. Harvey, Karim Lekadir, Steffen E. Petersen
Software Mentions: 1
Published: almost 5 years ago

10.1007/s00259-018-4139-4

Discovery of pre-therapy 2-deoxy-2-18F-fluoro-D-glucose positron emission tomography-based radiomics classifiers of survival outcome in non-small-cell lung cancer patients
Cited by: 50
Author(s): Mubarik Arshad, Andrew Thornton, Haonan Lu, Henry Tam, Kathryn Wallitt, Nicola Rodgers, Andrew Scarsbrook, Garry McDermott, Gary Cook, David Landau, Sue Chua, Richard A. O’Connor, Jeanette Dickson, Danielle Power, Tara Barwick, Andrea Rockall, Eric O. Aboagye
Software Mentions: 1
Published: over 6 years ago

10.1007/s00330-019-06597-8

Preoperative CT-based radiomics combined with intraoperative frozen section is predictive of invasive adenocarcinoma in pulmonary nodules: a multicenter study
Cited by: 24
Author(s): Guangyao Wu, Henry C. Woodruff, Sebastian Sanduleanu, Arthur Jochems, Ralph T.H. Leijenaar, Hester A. Gietema, Jing Shen, Rui Wang, Jingtong Xiong, Jie Bian, Jianlin Wu, Philippe Lambin
Software Mentions: 1
Published: almost 5 years ago

10.1186/s41747-018-0068-z

Radiomics: the facts and the challenges of image analysis
Cited by: 622
Author(s): Stefania Rizzo, Francesca Botta, Sara Raimondi, Daniela Origgi, Cristiana Fanciullo, Alessio Giuseppe Morganti, Massimo Bellomi
Software Mentions: 1
Published: about 6 years ago

10.3389/fnagi.2018.00393

Predicting the Development of Normal-Appearing White Matter With Radiomics in the Aging Brain: A Longitudinal Clinical Study
Cited by: 32
Author(s): Shengli Yuan, Zhonghua Chen, Shuai Ming, Qin Ye, Zhenyu Shu, Gong Cheng, Peipei Pang, Xiangyang Gong
Software Mentions: 1
Published: about 6 years ago

10.3389/fonc.2020.00057

CT-Based Radiomic Signature as a Prognostic Factor in Stage IV ALK-Positive Non-small-cell Lung Cancer Treated With TKI Crizotinib: A Proof-of-Concept Study
Cited by: 30
Author(s): Hailin Li, Rui Zhang, Siwen Wang, Mengjie Fang, Yongbei Zhu, Zhenhua Hu, Di Dong, Jingyun Shi, Jie Tian
Software Mentions: 1
Published: almost 5 years ago

10.3389/fonc.2018.00630

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis
Cited by: 60
Author(s): Ahmad Chaddad, Tamim Niazi, Stephan Probst, Franck Bladou, Maurice Anidjar, Boris Bahoric
Software Mentions: 1
Published: about 6 years ago

10.3389/fonc.2020.537318

Prognostic and Treatment Guiding Significance of MRI-Based Tumor Burden Features and Nodal Necrosis in Nasopharyngeal Carcinoma
Cited by: 3
Author(s): Xi Chen, Xun Cao, Bingzhong Jing, Wei‐Xiong Xia, Liangru Ke, Yan‐Qun Xiang, Kuiyuan Liu, Meng‐Yun Qiang, Cui Liang, Jianpeng Li, Mingyong Gao, Wang‐Zhong Li, Jingjing Miao, Guoying Li, Zhuo‐Chen Cai, Shu‐Hui Lv, Xiang Guo, Chaofeng Li
Software Mentions: 1
Published: over 4 years ago

10.3389/fonc.2020.615167

Radiomics Signature Facilitates Organ-Saving Strategy in Patients With Esophageal Squamous Cell Cancer Receiving Neoadjuvant Chemoradiotherapy
Cited by: 7
Author(s): Yue Li, Jun Li, Hongxuan Li, Xu-Wei Cai, Zhigang Li, Xiaodan Ye, Haohua Teng, Xiaolong Fu, Yu Wen
Software Mentions: 1
Published: almost 4 years ago

10.3389/fonc.2021.671354

Radiomics Based on T2-Weighted Imaging and Apparent Diffusion Coefficient Images for Preoperative Evaluation of Lymph Node Metastasis in Rectal Cancer Patients
Cited by: 16
Author(s): Chunli Li, Jiandong Yin
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2021.621520

CT-Based Radiomics Analysis for Preoperative Diagnosis of Pancreatic Mucinous Cystic Neoplasm and Atypical Serous Cystadenomas
Cited by: 14
Author(s): Tianwen Xie, Xuanyi Wang, Zehua Zhang, Zhengrong Zhou
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2021.616740

Preoperative Radiomics Analysis of 1p/19q Status in WHO Grade II Gliomas
Cited by: 6
Author(s): Ziwen Fan, Zimin Sun, Fang Sun, Yiming Li, Xing Liu, Yucha Liang, Yukun Liu, Chunyao Zhou, Qiang Zhu, Hong Zhang, Tianshi Li, Shaowu Li, Tao Jiang, Yinyan Wang, Lei Wang
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2018.00294

Machine Learning Applications in Head and Neck Radiation Oncology: Lessons From Open-Source Radiomics Challenges
Cited by: 35
Author(s): Hesham Elhalawani, Timothy A. Lin, Stefania Volpe, A.S.R. Mohamed, Arica White, James Zafereo, Andrew Wong, Joel Berends, Shady Abohashem, Bowman Williams, Jeremy M. Aymard, Aasheesh Kanwar, Subha Perni, Crosby D. Rock, Luke C Cooksey, Shauna R. Campbell, Pei Yang, K.-A.-N. Nguyen, Rachel B. Ger, Carlos Cárdenas, Xenia Fave, Carlo Sansone, Gabriele Piantadosi, Stefano Marrone, Rongjie Liu, Chao Huang, Kaixian Yu, Tengfei Li, Yang Yu, Youyi Zhang, Hongtu Zhu, Jeffrey S. Morris, Veerabhadran Baladandayuthapani, J.W. Shumway, Alakonanda Ghosh, Andrei Pöhlmann, Hady Ahmady Phoulady, Vibhas Goyal, Guadalupe Canahuate, G. Elisabeta Marai, David M. Vock, Stephen Y. Lai, D. Mackin, Laurence Edward Court, John Freymann, Keyvan Farahani, Jayashree Kaplathy-Cramer, Clifton D. Fuller
Software Mentions: 1
Published: over 6 years ago

10.3389/fonc.2021.603595

The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up
Cited by: 20
Author(s): Radouane El Ayachy, Nicolas Giraud, P Giraud, C. Durdux, P. Giraud, Anita Burgun, J.-E. Bibault
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2021.638185

Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer
Cited by: 10
Author(s): Lin Lü, Firas S. Ahmed, Oğuz Akın, Lyndon Luk, X. Edward Guo, Hao Yang, Jin hwan Yoon, Ari Hakimi, Lawrence H. Schwartz, Binsheng Zhao
Software Mentions: 1
Published: over 3 years ago

10.3389/fonc.2020.562945

The Performance of a Dual-Energy CT Derived Radiomics Model in Differentiating Serosal Invasion for Advanced Gastric Cancer Patients After Neoadjuvant Chemotherapy: Iodine Map Combined With 120-kV Equivalent Mixed Images
Cited by: 13
Author(s): Lingyun Wang, Yang Zhang, Yong Chen, Jingwen Tan, Lan Wang, Jun Zhang, Chunxue Yang, Qianchen Ma, Yubin Ge, Zhihan Xu, Zhengying Pan, Lianfang Du, Fuhua Yan, Weiwu Yao, Huan Zhang
Software Mentions: 1
Published: almost 4 years ago

10.1186/s13244-020-00887-2

Radiomics in medical imaging—“how-to” guide and critical reflection
Cited by: 510
Author(s): Janita E. van Timmeren, D. Cester, Stephanie Tanadini‐Lang, Hatem Alkadhi, Bettina Baeßler
Software Mentions: 1
Published: over 4 years ago

10.1002/acm2.13162

Identification of robust and reproducible CT‐texture metrics using a customized 3D‐printed texture phantom
Cited by: 16
Author(s): Bino Varghese, Darryl Hwang, Steven Cen, Xiaomeng Lei, Joshua Levy, Bhushan Desai, David J. Goodenough, Vinay Duddalwar
Software Mentions: 1
Published: almost 4 years ago

10.1007/s00432-020-03366-9

Preoperative identification of microvascular invasion in hepatocellular carcinoma by XGBoost and deep learning
Cited by: 77
Author(s): Yiquan Jiang, Sheng‐Li Cao, Shilei Cao, Jianning Chen, Guoying Wang, Wenqi Shi, Yihui Deng, Na Cheng, Kai Ma, Kaining Zeng, Xijing Yan, Haozhen Yang, Wenjing Huan, Weimin Tang, Yefeng Zheng, Chun-Kui Shao, Jin Wang, Yang Yang, Guihua Chen
Software Mentions: 1
Published: over 4 years ago