A citation-based method for searching scientific literature

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
Times Cited: 6







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



Times Cited
  Times     Co-cited
Similarity



Computational Radiomics System to Decode the Radiographic Phenotype.
Joost J M van Griethuysen, Andriy Fedorov, Chintan Parmar, Ahmed Hosny, Nicole Aucoin, Vivek Narayan, Regina G H Beets-Tan, Jean-Christophe Fillion-Robin, Steve Pieper, Hugo J W L Aerts. Cancer Res 2017
33


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

Breast Cancer Classification from Ultrasound Images Using Probability-Based Optimal Deep Learning Feature Fusion.
Kiran Jabeen, Muhammad Attique Khan, Majed Alhaisoni, Usman Tariq, Yu-Dong Zhang, Ameer Hamza, Artūras Mickus, Robertas Damaševičius. Sensors (Basel) 2022
15
33

AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis.
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
12
33

Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening.
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanislaw Jastrzebski, Thibault Fevry, Joe Katsnelson, Eric Kim,[...]. IEEE Trans Med Imaging 2020
112
33

Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.
Nisreen I R Yassin, Shaimaa Omran, Enas M F El Houby, Hemat Allam. Comput Methods Programs Biomed 2018
71
33

Automated Breast Ultrasound Lesions Detection Using Convolutional Neural Networks.
Moi Hoon Yap, Gerard Pons, Joan Marti, Sergi Ganau, Melcior Sentis, Reyer Zwiggelaar, Adrian K Davison, Robert Marti, Moi Hoon Yap, Gerard Pons,[...]. IEEE J Biomed Health Inform 2018
176
33

Large scale deep learning for computer aided detection of mammographic lesions.
Thijs Kooi, Geert Litjens, Bram van Ginneken, Albert Gubern-Mérida, Clara I Sánchez, Ritse Mann, Ard den Heeten, Nico Karssemeijer. Med Image Anal 2017
312
33

Deep learning.
Yann LeCun, Yoshua Bengio, Geoffrey Hinton. Nature 2015
33

Cancer statistics, 2020.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2020
33

Cancer statistics, 2019.
Rebecca L Siegel, Kimberly D Miller, Ahmedin Jemal. CA Cancer J Clin 2019
16

Geographic access to mammography facilities and frequency of mammography screening.
Patricia I Jewett, Ronald E Gangnon, Elena Elkin, John M Hampton, Elizabeth A Jacobs, Kristen Malecki, James LaGro, Polly A Newcomb, Amy Trentham-Dietz. Ann Epidemiol 2018
17
16

No-reference image quality assessment in the spatial domain.
Anish Mittal, Anush Krishna Moorthy, Alan Conrad Bovik. IEEE Trans Image Process 2012
323
16

Deep Learning in Medical Imaging: General Overview.
June-Goo Lee, Sanghoon Jun, Young-Won Cho, Hyunna Lee, Guk Bae Kim, Joon Beom Seo, Namkug Kim. Korean J Radiol 2017
331
16

FSIM: a feature similarity index for image quality assessment.
Lin Zhang, Lei Zhang, Xuanqin Mou, David Zhang. IEEE Trans Image Process 2011
436
16

YOLOv4-Based CNN Model versus Nested Contours Algorithm in the Suspicious Lesion Detection on the Mammography Image: A Direct Comparison in the Real Clinical Settings.
Alexey Kolchev, Dmitry Pasynkov, Ivan Egoshin, Ivan Kliouchkin, Olga Pasynkova, Dmitrii Tumakov. J Imaging 2022
2
50

A New Preclinical Decision Support System Based on PET Radiomics: A Preliminary Study on the Evaluation of an Innovative 64Cu-Labeled Chelator in Mouse Models.
Viviana Benfante, Alessandro Stefano, Albert Comelli, Paolo Giaccone, Francesco Paolo Cammarata, Selene Richiusa, Fabrizio Scopelliti, Marco Pometti, Milene Ficarra, Sebastiano Cosentino,[...]. J Imaging 2022
2
50

VSI: a visual saliency-induced index for perceptual image quality assessment.
Lin Zhang, Ying Shen, Hongyu Li. IEEE Trans Image Process 2014
76
16

Image Quality Assessment: Unifying Structure and Texture Similarity.
Keyan Ding, Kede Ma, Shiqi Wang, Eero P Simoncelli. IEEE Trans Pattern Anal Mach Intell 2022
14
16

Image quality assessment: from error visibility to structural similarity.
Zhou Wang, Alan Conrad Bovik, Hamid Rahim Sheikh, Eero P Simoncelli. IEEE Trans Image Process 2004
16

Image information and visual quality.
Hamid Rahim Sheikh, Alan C Bovik. IEEE Trans Image Process 2006
301
16

The Global Burden of Cancer 2013.
Christina Fitzmaurice, Daniel Dicker, Amanda Pain, Hannah Hamavid, Maziar Moradi-Lakeh, Michael F MacIntyre, Christine Allen, Gillian Hansen, Rachel Woodbrook, Charles Wolfe,[...]. JAMA Oncol 2015
16

A Bottom-Up Review of Image Analysis Methods for Suspicious Region Detection in Mammograms.
Parita Oza, Paawan Sharma, Samir Patel, Alessandro Bruno. J Imaging 2021
4
25

Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index.
Wufeng Xue, Lei Zhang, Xuanqin Mou, Alan C Bovik. IEEE Trans Image Process 2014
126
16

A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis.
Muhammad Firoz Mridha, Md Abdul Hamid, Muhammad Mostafa Monowar, Ashfia Jannat Keya, Abu Quwsar Ohi, Md Rashedul Islam, Jong-Myon Kim. Cancers (Basel) 2021
2
50

Radiomics Analysis of Brain [18F]FDG PET/CT to Predict Alzheimer's Disease in Patients with Amyloid PET Positivity: A Preliminary Report on the Application of SPM Cortical Segmentation, Pyradiomics and Machine-Learning Analysis.
Pierpaolo Alongi, Riccardo Laudicella, Francesco Panasiti, Alessandro Stefano, Albert Comelli, Paolo Giaccone, Annachiara Arnone, Fabio Minutoli, Natale Quartuccio, Chiara Cupidi,[...]. Diagnostics (Basel) 2022
3
33

Image Quality and Performance Benchmarks in Vehicle and Hospital Mammography.
Chen-Yu Chien, El-Wui Loh, Yen-Kuang Lin, Tsai-Wei Huang, Yuan-Hung Wang, Hsing-Won Wang, Ying-Chi Tseng, Melissa Min-Szu Yao, Ka-Wai Tam. Clin Breast Cancer 2020
1
100

Radiomics signature of brain metastasis: prediction of EGFR mutation status.
Guangyu Wang, Bomin Wang, Zhou Wang, Wenchao Li, Jianjun Xiu, Zhi Liu, Mingyong Han. Eur Radiol 2021
20
16

Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.
Thomas De Perrot, Jeremy Hofmeister, Simon Burgermeister, Steve P Martin, Gregoire Feutry, Jacques Klein, Xavier Montet. Eur Radiol 2019
28
16

Cetuximab for the treatment of colorectal cancer.
Derek J Jonker, Chris J O'Callaghan, Christos S Karapetis, John R Zalcberg, Dongsheng Tu, Heather-Jane Au, Scott R Berry, Marianne Krahn, Timothy Price, R John Simes,[...]. N Engl J Med 2007
16

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
16

Why Does Magnetic Resonance Imaging-Targeted Biopsy Miss Clinically Significant Cancer?
Cheyenne Williams, Michael Ahdoot, Michael A Daneshvar, Christian Hague, Andrew R Wilbur, Patrick T Gomella, Joanna Shih, Nabila Khondakar, Nitin Yerram, Sherif Mehralivand,[...]. J Urol 2022
9
16

Intratumor heterogeneity and branched evolution revealed by multiregion sequencing.
Marco Gerlinger, Andrew J Rowan, Stuart Horswell, M Math, James Larkin, David Endesfelder, Eva Gronroos, Pierre Martinez, Nicholas Matthews, Aengus Stewart,[...]. N Engl J Med 2012
16

Evaluation of magnetic resonance imaging-based radiomics characteristics for differentiation of benign and malignant peripheral nerve sheath tumors in neurofibromatosis type 1.
Inka Ristow, Frederic Madesta, Lennart Well, Farzad Shenas, Felicia Wright, Isabel Molwitz, Said Farschtschi, Peter Bannas, Gerhard Adam, Victor F Mautner,[...]. Neuro Oncol 2022
2
50

Incidence and Mortality of Proximal and Distal Colorectal Cancer in Germany—Trends in the Era of Screening Colonoscopy.
Rafael Cardoso, Anna Zhu, Feng Guo, Thomas Heisser, Michael Hoffmeister, Hermann Brenner. Dtsch Arztebl Int 2021
10
16

Radiomics Features of the Spleen as Surrogates for CT-Based Lymphoma Diagnosis and Subtype Differentiation.
Johanna S Enke, Jan H Moltz, Melvin D'Anastasi, Wolfgang G Kunz, Christian Schmidt, Stefan Maurus, Alexander Mühlberg, Alexander Katzmann, Michael Sühling, Horst Hahn,[...]. Cancers (Basel) 2022
4
25

Combined Use of Prostate-specific Antigen Density and Magnetic Resonance Imaging for Prostate Biopsy Decision Planning: A Retrospective Multi-institutional Study Using the Prostate Magnetic Resonance Imaging Outcome Database (PROMOD).
Ugo Giovanni Falagario, Ivan Jambor, Anna Lantz, Otto Ettala, Armando Stabile, Pekka Taimen, Hannu J Aronen, Juha Knaapila, Ileana Montoya Perez, Giorgio Gandaglia,[...]. Eur Urol Oncol 2021
34
16


Radiomics feature stability of open-source software evaluated on apparent diffusion coefficient maps in head and neck cancer.
James C Korte, Carlos Cardenas, Nicholas Hardcastle, Tomas Kron, Jihong Wang, Houda Bahig, Baher Elgohari, Rachel Ger, Laurence Court, Clifton D Fuller,[...]. Sci Rep 2021
11
16

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.
Yosuke Iwatate, Isamu Hoshino, Hajime Yokota, Fumitaka Ishige, Makiko Itami, Yasukuni Mori, Satoshi Chiba, Hidehito Arimitsu, Hiroo Yanagibashi, Hiroki Nagase,[...]. Br J Cancer 2020
34
16


Noninvasive KRAS mutation estimation in colorectal cancer using a deep learning method based on CT imaging.
Kan He, Xiaoming Liu, Mingyang Li, Xueyan Li, Hualin Yang, Huimao Zhang. BMC Med Imaging 2020
11
16

Quantification of Cancer-Developing Idiopathic Pulmonary Fibrosis Using Whole-Lung Texture Analysis of HRCT Images.
Chia-Hao Liang, Yung-Chi Liu, Yung-Liang Wan, Chun-Ho Yun, Wen-Jui Wu, Rafael López-González, Wei-Ming Huang. Cancers (Basel) 2021
2
50

Radiomics Based on Digital Mammography Helps to Identify Mammographic Masses Suspicious for Cancer.
Guangsong Wang, Dafa Shi, Qiu Guo, Haoran Zhang, Siyuan Wang, Ke Ren. Front Oncol 2022
1
100

Integrating Liquid Biopsy and Radiomics to Monitor Clonal Heterogeneity of EGFR-Positive Non-Small Cell Lung Cancer.
Federico Cucchiara, Marzia Del Re, Simona Valleggi, Chiara Romei, Iacopo Petrini, Maurizio Lucchesi, Stefania Crucitta, Eleonora Rofi, Annalisa De Liperi, Antonio Chella,[...]. Front Oncol 2020
14
16

Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography.
Andrew Lin, Márton Kolossváry, Sebastien Cadet, Priscilla McElhinney, Markus Goeller, Donghee Han, Jeremy Yuvaraj, Nitesh Nerlekar, Piotr J Slomka, Mohamed Marwan,[...]. JACC Cardiovasc Imaging 2022
4
25

Genetic basis for clinical response to CTLA-4 blockade in melanoma.
Alexandra Snyder, Vladimir Makarov, Taha Merghoub, Jianda Yuan, Jesse M Zaretsky, Alexis Desrichard, Logan A Walsh, Michael A Postow, Phillip Wong, Teresa S Ho,[...]. N Engl J Med 2014
16

Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas.
Sen Liang, Rongguo Zhang, Dayang Liang, Tianci Song, Tao Ai, Chen Xia, Liming Xia, Yan Wang. Genes (Basel) 2018
51
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.