A citation-based method for searching scientific literature

V Romeo, P Clauser, S Rasul, P Kapetas, P Gibbs, P A T Baltzer, M Hacker, R Woitek, T H Helbich, K Pinker. Eur J Nucl Med Mol Imaging 2022
Times Cited: 12







List of co-cited articles
57 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Multiparametric Integrated 18F-FDG PET/MRI-Based Radiomics for Breast Cancer Phenotyping and Tumor Decoding.
Lale Umutlu, Julian Kirchner, Nils Martin Bruckmann, Janna Morawitz, Gerald Antoch, Marc Ingenwerth, Ann-Kathrin Bittner, Oliver Hoffmann, Johannes Haubold, Johannes Grueneisen,[...]. Cancers (Basel) 2021
18
58

Breast Tumor Characterization Using [18F]FDG-PET/CT Imaging Combined with Data Preprocessing and Radiomics.
Denis Krajnc, Laszlo Papp, Thomas S Nakuz, Heinrich F Magometschnigg, Marko Grahovac, Clemens P Spielvogel, Boglarka Ecsedi, Zsuzsanna Bago-Horvath, Alexander Haug, Georgios Karanikas,[...]. Cancers (Basel) 2021
17
41

Breast MRI: State of the Art.
Ritse M Mann, Nariya Cho, Linda Moy. Radiology 2019
194
33

The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Alex Zwanenburg, Martin Vallières, Mahmoud A Abdalah, Hugo J W L Aerts, Vincent Andrearczyk, Aditya Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J Beukinga, Ronald Boellaard,[...]. Radiology 2020
929
33

Radiomics: Images Are More than Pictures, They Are Data.
Robert J Gillies, Paul E Kinahan, Hedvig Hricak. Radiology 2016
33

Relationship between functional imaging and immunohistochemical markers and prediction of breast cancer subtype: a PET/MRI study.
Mariarosaria Incoronato, Anna Maria Grimaldi, Carlo Cavaliere, Marianna Inglese, Peppino Mirabelli, Serena Monti, Umberto Ferbo, Emanuele Nicolai, Andrea Soricelli, Onofrio Antonio Catalano,[...]. Eur J Nucl Med Mol Imaging 2018
24
25

Comparison of nodal staging between CT, MRI, and [18F]-FDG PET/MRI in patients with newly diagnosed breast cancer.
Janna Morawitz, Nils-Martin Bruckmann, Frederic Dietzel, Tim Ullrich, Ann-Kathrin Bittner, Oliver Hoffmann, Eugen Ruckhäberle, Svjetlana Mohrmann, Lena Häberle, Marc Ingenwerth,[...]. Eur J Nucl Med Mol Imaging 2022
11
27

Circulating miRNAs in Untreated Breast Cancer: An Exploratory Multimodality Morpho-Functional Study.
Mariarosaria Incoronato, Anna Maria Grimaldi, Peppino Mirabelli, Carlo Cavaliere, Chiara Anna Parente, Monica Franzese, Stefania Staibano, Gennaro Ilardi, Daniela Russo, Andrea Soricelli,[...]. Cancers (Basel) 2019
23
25

Non-Invasive Assessment of Breast Cancer Molecular Subtypes with Multiparametric Magnetic Resonance Imaging Radiomics.
Doris Leithner, Marius E Mayerhoefer, Danny F Martinez, Maxine S Jochelson, Elizabeth A Morris, Sunitha B Thakur, Katja Pinker. J Clin Med 2020
25
25

Supervised machine learning enables non-invasive lesion characterization in primary prostate cancer with [68Ga]Ga-PSMA-11 PET/MRI.
L Papp, C P Spielvogel, B Grubmüller, M Grahovac, D Krajnc, B Ecsedi, R A M Sareshgi, D Mohamad, M Hamboeck, I Rausch,[...]. Eur J Nucl Med Mol Imaging 2021
31
25

Exploration of PET and MRI radiomic features for decoding breast cancer phenotypes and prognosis.
Shih-Ying Huang, Benjamin L Franc, Roy J Harnish, Gengbo Liu, Debasis Mitra, Timothy P Copeland, Vignesh A Arasu, John Kornak, Ella F Jones, Spencer C Behr,[...]. NPJ Breast Cancer 2018
51
16

Recommendations on the use of 18F-FDG PET in oncology.
James W Fletcher, Benjamin Djulbegovic, Heloisa P Soares, Barry A Siegel, Val J Lowe, Gary H Lyman, R Edward Coleman, Richard Wahl, John Christopher Paschold, Norbert Avril,[...]. J Nucl Med 2008
690
16

Simultaneous PET/MRI assessment of response to cytotoxic and hormone neo-adjuvant chemotherapy in breast cancer: a preliminary report.
Valeria Romeo, Massimiliano D'Aiuto, Giuseppe Frasci, Massimo Imbriaco, Emanuele Nicolai. Med Oncol 2017
12
16

Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy.
Nariya Cho, Seock-Ah Im, Gi Jeong Cheon, In-Ae Park, Kyung-Hun Lee, Tae-Yong Kim, Young Seon Kim, Bo Ra Kwon, Jung Min Lee, Hoon Young Suh,[...]. Eur J Nucl Med Mol Imaging 2018
30
16

Assessment of Aggressiveness of Breast Cancer Using Simultaneous 18F-FDG-PET and DCE-MRI: Preliminary Observation.
Nathaniel E Margolis, Linda Moy, Eric E Sigmund, Melanie Freed, Jason McKellop, Amy N Melsaether, Sungheon Gene Kim. Clin Nucl Med 2016
19
16

Integrated PET/MR breast cancer imaging: Attenuation correction and implementation of a 16-channel RF coil.
Mark Oehmigen, Maike E Lindemann, Titus Lanz, Sonja Kinner, Harald H Quick. Med Phys 2016
17
16

Hybrid 18F-FDG-PET/MRI Measurement of Standardized Uptake Value Coupled with Yin Yang 1 Signature in Metastatic Breast Cancer. A Preliminary Study.
Concetta Schiano, Monica Franzese, Katia Pane, Nunzia Garbino, Andrea Soricelli, Marco Salvatore, Filomena de Nigris, Claudio Napoli. Cancers (Basel) 2019
18
16

PET/MRI: Where might it replace PET/CT?
Eric C Ehman, Geoffrey B Johnson, Javier E Villanueva-Meyer, Soonmee Cha, Andrew Palmera Leynes, Peder Eric Zufall Larson, Thomas A Hope. J Magn Reson Imaging 2017
110
16

Reliability of 18F-FDG PET Metabolic Parameters Derived Using Simultaneous PET/MRI and Correlation With Prognostic Factors of Invasive Ductal Carcinoma: A Feasibility Study.
Amarnath Jena, Sangeeta Taneja, Aru Singh, Pradeep Negi, Ramesh Sarin, Pratap K Das, Manish Singhal. AJR Am J Roentgenol 2017
8
25

Progress and Future Trends in PET/CT and PET/MRI Molecular Imaging Approaches for Breast Cancer.
Yue Ming, Nan Wu, Tianyi Qian, Xiao Li, David Q Wan, Caiying Li, Yalun Li, Zhihong Wu, Xiang Wang, Jiaqi Liu,[...]. Front Oncol 2020
30
16

PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.
Onofrio Antonio Catalano, Gary Lloyd Horn, Alberto Signore, Carlo Iannace, Maria Lepore, Mark Vangel, Angelo Luongo, Marco Catalano, Constance Lehman, Marco Salvatore,[...]. Br J Cancer 2017
29
16

Clinical utility of 18F-FDG-PET/MR for preoperative breast cancer staging.
Diomidis Botsikas, Anastasia Kalovidouri, Minerva Becker, Michele Copercini, Dahila Amal Djema, Alexandre Bodmer, Sindy Monnier, Christoph D Becker, Xavier Montet, Benedicte M A Delattre,[...]. Eur Radiol 2016
28
16


Hybrid 18F-FDG PET/MRI might improve locoregional staging of breast cancer patients prior to neoadjuvant chemotherapy.
Briete Goorts, Stefan Vöö, Thiemo J A van Nijnatten, Loes F S Kooreman, Maaike de Boer, Kristien B M I Keymeulen, Romy Aarnoutse, Joachim E Wildberger, Felix M Mottaghy, Marc B I Lobbes,[...]. Eur J Nucl Med Mol Imaging 2017
15
16

Diagnostic role of 18F-FDG PET/MRI in the TNM staging of breast cancer: a systematic review and meta-analysis.
Xing-Ru Lu, Meng-Meng Qu, Ya-Nan Zhai, Wen Feng, Ya Gao, Jun-Qiang Lei. Ann Palliat Med 2021
6
33

Improved differentiation of benign and malignant breast tumors with multiparametric 18fluorodeoxyglucose positron emission tomography magnetic resonance imaging: a feasibility study.
Katja Pinker, Wolfgang Bogner, Pascal Baltzer, Georgios Karanikas, Heinrich Magometschnigg, Peter Brader, Stephan Gruber, Hubert Bickel, Peter Dubsky, Zsuzsanna Bago-Horvath,[...]. Clin Cancer Res 2014
57
16

Early prediction of neoadjuvant chemotherapy response for advanced breast cancer using PET/MRI image deep learning.
Joon Ho Choi, Hyun-Ah Kim, Wook Kim, Ilhan Lim, Inki Lee, Byung Hyun Byun, Woo Chul Noh, Min-Ki Seong, Seung-Sook Lee, Byung Il Kim,[...]. Sci Rep 2020
19
16

Local and whole-body staging in patients with primary breast cancer: a comparison of one-step to two-step staging utilizing 18F-FDG-PET/MRI.
Julian Kirchner, Johannes Grueneisen, Ole Martin, Mark Oehmigen, Harald H Quick, Ann-Kathrin Bittner, Oliver Hoffmann, Marc Ingenwerth, Onofrio Antonio Catalano, Philipp Heusch,[...]. Eur J Nucl Med Mol Imaging 2018
18
16

Role of fusion of prone FDG-PET and magnetic resonance imaging of the breasts in the evaluation of breast cancer.
Linda Moy, Marilyn E Noz, Gerald Q Maguire, Amy Melsaether, Abby E Deans, Antoinette D Murphy-Walcott, Fabio Ponzo. Breast J 2010
40
16

Technical Note: Extension of CERR for computational radiomics: A comprehensive MATLAB platform for reproducible radiomics research.
Aditya P Apte, Aditi Iyer, Mireia Crispin-Ortuzar, Rutu Pandya, Lisanne V van Dijk, Emiliano Spezi, Maria Thor, Hyemin Um, Harini Veeraraghavan, Jung Hun Oh,[...]. Med Phys 2018
64
16

Radiomic signatures with contrast-enhanced magnetic resonance imaging for the assessment of breast cancer receptor status and molecular subtypes: initial results.
Doris Leithner, Joao V Horvat, Maria Adele Marino, Blanca Bernard-Davila, Maxine S Jochelson, R Elena Ochoa-Albiztegui, Danny F Martinez, Elizabeth A Morris, Sunitha Thakur, Katja Pinker. Breast Cancer Res 2019
44
16

18F-FDG PET/CT radiomic predictors of pathologic complete response (pCR) to neoadjuvant chemotherapy in breast cancer patients.
Panli Li, Xiuying Wang, Chongrui Xu, Cheng Liu, Chaojie Zheng, Michael J Fulham, Dagan Feng, Lisheng Wang, Shaoli Song, Gang Huang. Eur J Nucl Med Mol Imaging 2020
27
16

Textural features of 18F-FDG PET after two cycles of neoadjuvant chemotherapy can predict pCR in patients with locally advanced breast cancer.
Lin Cheng, Jianping Zhang, Yujie Wang, Xiaoli Xu, Yongping Zhang, Yingjian Zhang, Guangyu Liu, Jingyi Cheng. Ann Nucl Med 2017
17
16

Radiomics: extracting more information from medical images using advanced feature analysis.
Philippe Lambin, Emmanuel Rios-Velazquez, Ralph Leijenaar, Sara Carvalho, Ruud G P M van Stiphout, Patrick Granton, Catharina M L Zegers, Robert Gillies, Ronald Boellard, André Dekker,[...]. Eur J Cancer 2012
16

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Hui Li, Yitan Zhu, Elizabeth S Burnside, Erich Huang, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Margarita Zuley, Jose M Net,[...]. NPJ Breast Cancer 2016
191
16


Global Cancer Statistics 2020: GLOBOCAN Estimates of Incidence and Mortality Worldwide for 36 Cancers in 185 Countries.
Hyuna Sung, Jacques Ferlay, Rebecca L Siegel, Mathieu Laversanne, Isabelle Soerjomataram, Ahmedin Jemal, Freddie Bray. CA Cancer J Clin 2021
16

Radiomics in medical imaging-"how-to" guide and critical reflection.
Janita E van Timmeren, Davide Cester, Stephanie Tanadini-Lang, Hatem Alkadhi, Bettina Baessler. Insights Imaging 2020
219
16

[18F]FDG PET/CT features for the molecular characterization of primary breast tumors.
Lidija Antunovic, Francesca Gallivanone, Martina Sollini, Andrea Sagona, Alessandra Invento, Giulia Manfrinato, Margarita Kirienko, Corrado Tinterri, Arturo Chiti, Isabella Castiglioni. Eur J Nucl Med Mol Imaging 2017
36
16

Prognostic Value of Metabolic, Volumetric and Textural Parameters of Baseline [18F]FDG PET/CT in Early Triple-Negative Breast Cancer.
Clément Bouron, Clara Mathie, Valérie Seegers, Olivier Morel, Pascal Jézéquel, Hamza Lasla, Camille Guillerminet, Sylvie Girault, Marie Lacombe, Avigaelle Sher,[...]. Cancers (Basel) 2022
7
28

Glioma Survival Prediction with Combined Analysis of In Vivo 11C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning.
László Papp, Nina Pötsch, Marko Grahovac, Victor Schmidbauer, Adelheid Woehrer, Matthias Preusser, Markus Mitterhauser, Barbara Kiesel, Wolfgang Wadsak, Thomas Beyer,[...]. J Nucl Med 2018
57
16

A Machine Learning Model Based on PET/CT Radiomics and Clinical Characteristics Predicts ALK Rearrangement Status in Lung Adenocarcinoma.
Cheng Chang, Xiaoyan Sun, Gang Wang, Hong Yu, Wenlu Zhao, Yaqiong Ge, Shaofeng Duan, Xiaohua Qian, Rui Wang, Bei Lei,[...]. Front Oncol 2021
22
16

Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung.
Caiyue Ren, Jianping Zhang, Ming Qi, Jiangang Zhang, Yingjian Zhang, Shaoli Song, Yun Sun, Jingyi Cheng. Eur J Nucl Med Mol Imaging 2021
12
16

Machine Learning Methods for Optimal Radiomics-Based Differentiation Between Recurrence and Inflammation: Application to Nasopharyngeal Carcinoma Post-therapy PET/CT Images.
Dongyang Du, Hui Feng, Wenbing Lv, Saeed Ashrafinia, Qingyu Yuan, Quanshi Wang, Wei Yang, Qianjin Feng, Wufan Chen, Arman Rahmim,[...]. Mol Imaging Biol 2020
37
16

Imbalanced Data Correction Based PET/CT Radiomics Model for Predicting Lymph Node Metastasis in Clinical Stage T1 Lung Adenocarcinoma.
Jieqin Lv, Xiaohui Chen, Xinran Liu, Dongyang Du, Wenbing Lv, Lijun Lu, Hubing Wu. Front Oncol 2022
5
40

Radiomics: the bridge between medical imaging and personalized medicine.
Philippe Lambin, Ralph T H Leijenaar, Timo M Deist, Jurgen Peerlings, Evelyn E C de Jong, Janita van Timmeren, Sebastian Sanduleanu, Ruben T H M Larue, Aniek J G Even, Arthur Jochems,[...]. Nat Rev Clin Oncol 2017
16

Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists' Performance.
Isaac Daimiel Naranjo, Peter Gibbs, Jeffrey S Reiner, Roberto Lo Gullo, Sunitha B Thakur, Maxine S Jochelson, Nikita Thakur, Pascal A T Baltzer, Thomas H Helbich, Katja Pinker. Cancers (Basel) 2022
6
33

Principal component analysis: a review and recent developments.
Ian T Jolliffe, Jorge Cadima. Philos Trans A Math Phys Eng Sci 2016
16

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
16

Dermatologist-level classification of skin cancer with deep neural networks.
Andre Esteva, Brett Kuprel, Roberto A Novoa, Justin Ko, Susan M Swetter, Helen M Blau, Sebastian Thrun. Nature 2017
16


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.