Imaging in Medicine : Citations & Metrics Report

Articles published in Imaging in Medicine have been cited by esteemed scholars and scientists all around the world.

Imaging in Medicine has got h-index 18, which means every article in Imaging in Medicine has got 18 average citations.

Following are the list of articles that have cited the articles published in Imaging in Medicine.

• Tobón A, Silva NM, Velásquez M, Morales E, Sangiovanni S, Fernández-Trujillo L. Ossifying Lipoma in Costal Arches That Suggest Extensive Pulmonary Involvement: Case Report. Clinical Pathology. 2020 May;13:2632010X20906166. View at Publisher | View at Google Scholar | View at Indexing
• Ding J, Cao P, Chang HC, Gao Y, Chan SH, Vardhanabhuti V. Deep learning-based thigh muscle segmentation for reproducible fat fraction quantification using fat–water decomposition MRI. Insights into imaging. 2020 Dec;11(1):1-1. View at Publisher | View at Google Scholar | View at Indexing
• Smith RE, Connelly A, Calamante F. Diffusion MRI Fiber Tractography. InAdvances in Magnetic Resonance Technology and Applications 2020 Jan 1 (Vol. 1, pp. 533-569). Academic Press. View at Publisher | View at Google Scholar | View at Indexing
• Avelar-Pereira B, Bäckman L, Wåhlin A, Nyberg L, Salami A. Increased functional homotopy of the prefrontal cortex is associated with corpus callosum degeneration and working memory decline. Neurobiology of Aging. 2020 Dec 1;96:68-78. View at Publisher | View at Google Scholar | View at Indexing
• Muzic SI, Paoletti M, Solazzo F, Belatti E, Vitale R, Bergsland N, Bastianello S, Pichiecchio A. Reproducibility of manual segmentation in muscle imaging. Acta Myologica. 2021 Sep;40(3):116. View at Publisher | View at Google Scholar | View at Indexing
• Agosti A, Shaqiri E, Paoletti M, Solazzo F, Bergsland N, Colelli G, Savini G, Muzic SI, Santini F, Deligianni X, Diamanti L. Deep learning for automatic segmentation of thigh and leg muscles. Magnetic Resonance Materials in Physics, Biology and Medicine. 2021 Oct 19:1-7. View at Publisher | View at Google Scholar | View at Indexing
• Kok JG, Leemans A, Teune LK, Leenders KL, McKeown MJ, Appel-Cresswell S, Kremer HP, de Jong BM. Structural network analysis using diffusion MRI tractography in Parkinson's disease and correlations with motor impairment. Frontiers in neurology. 2020 Sep 2;11:841. View at Publisher | View at Google Scholar | View at Indexing
• Tournier JD. High angular resolution diffusion-weighted imaging (HARDI): beyond the diffusion tensor model. View at Publisher | View at Google Scholar | View at Indexing
• Brown R, Madelin G, Lattanzi R, Chang G, Regatte RR, Sodickson DK, Wiggins GC. Design of a nested eight?channel sodium and four?channel proton coil for 7T knee imaging. Magnetic resonance in medicine. 2013 Jul;70(1):259-68. View at Publisher | View at Google Scholar | View at Indexing
• Laistler E, Poirier?Quinot M, Lambert SA, Dubuisson RM, Girard OM, Moser E, Darrasse L, Ginefri JC. In vivo MR imaging of the human skin at subnanoliter resolution using a superconducting surface coil at 1.5 tesla. Journal of Magnetic Resonance Imaging. 2015 Feb;41(2):496-504. View at Publisher | View at Google Scholar | View at Indexing
• Aggarwal K, Bondhugula U. Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems. ACM Transactions on Parallel Computing (TOPC). 2020 Nov 23;7(4):1-45. View at Publisher | View at Google Scholar | View at Indexing
• Menegaux A, Bäuerlein FJ, Vania A, Napiorkowski N, Neitzel J, Ruiz-Rizzo AL, Müller HJ, Sorg C, Finke K. Linking the impact of aging on visual short-term memory capacity with changes in the structural connectivity of posterior thalamus to occipital cortices. NeuroImage. 2020 Mar 1;208:116440. View at Publisher | View at Google Scholar | View at Indexing
• Madelin G, Jerschow A, Regatte RR. Sodium MRI with fluid suppression: will it improve early detection of osteoarthritis?. Imaging in Medicine. 2011 Feb 1;3(1):01. View at Publisher | View at Google Scholar | View at Indexing
• Degiorgis L. MRI analysis of brain connectivity in a mouse model of Alzheimer’s disease (Doctoral dissertation, Université de Strasbourg). View at Publisher | View at Google Scholar | View at Indexing
• Tax CM, Leemans A. Hoe magnetisme en diffusie kunnen bijdragen aan hersenonderzoek: toepassingen van diffusie-MRI-tractografie. Neuropraxis. 2014 Jun;18(3):92-105. View at Publisher | View at Google Scholar | View at Indexing
• Mohades SG. Advanced MRI of bilingualism-related differences in brain development (Doctoral dissertation, Vrije Universiteit Brussel). View at Publisher | View at Google Scholar | View at Indexing
• Solopova AE, Chashchin AA, Solopova AG, Makatsariya AD. Current opinions concerning the pathogenesis of epithelial ovarian cancer and new diagnostic approaches to the disease. Obstetrics, Gynecology and Reproduction. 2016 Jun 5;10(1):75-83. View at Publisher | View at Google Scholar | View at Indexing
• Cruz-Roa A, Basavanhally A, González F, Gilmore H, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A. Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. InMedical Imaging 2014: Digital Pathology 2014 Mar 20 (Vol. 9041, p. 904103). International Society for Optics and Photonics. View at Publisher | View at Google Scholar | View at Indexing
• Cruz-Roa A, Basavanhally A, González F, Gilmore H, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A. Automatic detection of invasive ductal carcinoma in whole slide images with convolutional neural networks. InMedical Imaging 2014: Digital Pathology 2014 Mar 20 (Vol. 9041, p. 904103). International Society for Optics and Photonics. View at Publisher | View at Google Scholar | View at Indexing
• Komura D, Ishikawa S. Machine learning methods for histopathological image analysis. Computational and structural biotechnology journal. 2018 Jan 1;16:34-42. View at Publisher | View at Google Scholar | View at Indexing
• Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih NN, Tomaszewski J, González FA, Madabhushi A. Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent. Scientific reports. 2017 Apr 18;7(1):1-4. View at Publisher | View at Google Scholar | View at Indexing
• Bera K, Schalper KA, Rimm DL, Velcheti V, Madabhushi A. Artificial intelligence in digital pathology—new tools for diagnosis and precision oncology. Nature reviews Clinical oncology. 2019 Nov;16(11):703-15. View at Publisher | View at Google Scholar | View at Indexing
• Kumar R, Srivastava R, Srivastava S. Detection and classification of cancer from microscopic biopsy images using clinically significant and biologically interpretable features. Journal of medical engineering. 2015;2015. View at Publisher | View at Google Scholar | View at Indexing
• Madabhushi A, Agner S, Basavanhally A, Doyle S, Lee G. Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data. Computerized medical imaging and graphics. 2011 Oct 1;35(7-8):506-14. View at Publisher | View at Google Scholar | View at Indexing
• Tronchin G, McDonald C. Neuroanatomical Findings in Bipolar Disorder. View at Publisher | View at Google Scholar | View at Indexing
• Dyrby TB. Validation of Tractography: Comparison With Manganese Tracing. View at Publisher | View at Google Scholar | View at Indexing
• Shanahan MP, Hellyer P, Sharp DJ, Scott G, Leech R. Cognitive flexibility through metastable neural dynamics is disrupted by damage to the structural connectome. View at Publisher | View at Google Scholar | View at Indexing
• Shanahan MP, Hellyer P, Sharp DJ, Scott G, Leech R. Cognitive flexibility through metastable neural dynamics is disrupted by damage to the structural connectome. View at Publisher | View at Google Scholar | View at Indexing
• Hipp J, Flotte T, Monaco J, Cheng J, Madabhushi A, Yagi Y, Rodriguez-Canales J, Emmert-Buck M, Dugan MC, Hewitt S, Toner M. Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess. Journal of pathology informatics. 2011;2. View at Publisher | View at Google Scholar | View at Indexing
• Ivkovi? M, Raj A. Global estimation of anatomical connection strength in diffusion MRI tractography by message-passing. In2011 IEEE International Symposium on Information Theory Proceedings 2011 Jul 31 (pp. 2721-2725). IEEE. View at Publisher | View at Google Scholar | View at Indexing
• Cruz-Roa A, Gilmore H, Basavanhally A, Feldman M, Ganesan S, Shih N, Tomaszewski J, Madabhushi A, González F. High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection. PloS one. 2018 May 24;13(5):e0196828. View at Publisher | View at Google Scholar | View at Indexing
• Vu QD, Graham S, Kurc T, To MN, Shaban M, Qaiser T, Koohbanani NA, Khurram SA, Kalpathy-Cramer J, Zhao T, Gupta R. Methods for segmentation and classification of digital microscopy tissue images. Frontiers in bioengineering and biotechnology. 2019 Apr 2;7:53. View at Publisher | View at Google Scholar | View at Indexing
• Huynh V, Staempfli P, Luetolf R, Luechinger R, Curt A, Kollias S, Hubli M, Michels L. Investigation of Cerebral White Matter Changes After Spinal Cord Injury With a Measure of Fiber Density. Frontiers in neurology. 2021 Feb 22;12:98. View at Publisher | View at Google Scholar | View at Indexing
• Lewis Jr JS, Ali S, Luo J, Thorstad WL, Madabhushi A. A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. The American journal of surgical pathology. 2014 Jan;38(1):128. View at Publisher | View at Google Scholar | View at Indexing
• Chang X, Mandl RC, Pasternak O, Brouwer RM, Cahn W, Collin G. Diffusion MRI derived free-water imaging measures in patients with schizophrenia and their non-psychotic siblings. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 2021 Jul 13;109:110238. View at Publisher | View at Google Scholar | View at Indexing
• Besseling RM, Overvliet GM, Jansen JF, van der Kruijs SJ, Vles JS, Hofman PA, Ebus SC, de Louw AJ, Aldenkamp AP, Backes WH. Early onset of cortical thinning in children with rolandic epilepsy. Brain wiring and neuronal dynamics. 2014;2:55. View at Publisher | View at Google Scholar | View at Indexing
• Filipiak P, Almairac F, Papadopoulo T, Fontaine D, Mondot L, Chanalet S, Deriche R, Clerc M, Wassermann D. Towards linking diffusion MRI based macro-and microstructure measures with cortico-cortical transmission in brain tumor patients. NeuroImage. 2021 Feb 1;226:117567. View at Publisher | View at Google Scholar | View at Indexing
• Menegaux A, Meng C, Bäuml JG, Berndt MT, Hedderich DM, Schmitz-Koep B, Schneider S, Nuttall R, Zimmermann J, Daamen M, Zimmer C. Aberrant cortico-thalamic structural connectivity in premature-born adults. Cortex. 2021 May 8. View at Publisher | View at Google Scholar | View at Indexing
• Chen Y, Lin Q, Liao X, Zhou C, He Y. Association of aerobic glycolysis with the structural connectome reveals a benefit–risk balancing mechanism in the human brain. Proceedings of the National Academy of Sciences. 2021 Jan 5;118(1). View at Publisher | View at Google Scholar | View at Indexing
• Winston GP, Duncan JS. Taylor PN, Sinha N, Wang Y, Vos SB, deTisi J, Miserocchi A, McEvoy AW. View at Publisher | View at Google Scholar | View at Indexing
• Winston GP, Duncan JS. Taylor PN, Sinha N, Wang Y, Vos SB, deTisi J, Miserocchi A, McEvoy AW. View at Publisher | View at Google Scholar | View at Indexing
• Albers KJ, Ambrosen KS, Liptrot MG, Dyrby TB, Schmidt MN, Mørup M. Using connectomics for predictive assessment of brain parcellations. NeuroImage. 2021 Sep 1;238:118170. View at Publisher | View at Google Scholar | View at Indexing
• Kisembo HN, Kawooya MG, Kenyon C, Worodria W, Colebunders R. Abdominal sonographic findings in severely immunosuppressed human immunodeficiency virus-infected patients treated for tuberculosis. View at Publisher | View at Google Scholar | View at Indexing
• Moreno-Corrales MA, Gómez-Landa F, Sánchez-Valdivieso EA. Tuberculosis tubaria y peritoneal que simula carcinomatosis. Linfopenia con trombocitosis como auxiliar en el diagnóstico diferencial. Clinica e Investigacion En Ginecologia y Obstetricia. 2018 Jan 1;45(1):40-4. View at Publisher | View at Google Scholar | View at Indexing
• Giambelluca D, Di Martino E, Salvaggio G. The “kissing sign” of liver and spleen. Abdominal Radiology. 2019 Jun 1;44(6):2323-4. View at Publisher | View at Google Scholar | View at Indexing
• Tronchin G, McDonald C. Neuroanatomical Disorder Findings in Bipolar. Mood Disorders: Brain Imaging and Therapeutic Implications. 2021 Jan 7:16. View at Publisher | View at Google Scholar | View at Indexing
• Tang-Wright K, Smith JE, Bridge H, Miller KL, Dyrby TB, Ahmed B, Reislev NL, Sallet J, Parker AJ, Krug K. Intra-Areal Visual Topography in Primate Brains Mapped with Probabilistic Tractography of Diffusion-Weighted Imaging. Cerebral Cortex. 2021 Nov 3. View at Publisher | View at Google Scholar | View at Indexing
• ??????? ??, ????????? ??, ????????? ??, ?????????? ?H, ??????? ??, ?????? ??. ???-??????????????? ????????? ?????????????? ???????????. ?????????? ? ??????? ??????. 2020 Sep 23;98(8):32-8. View at Publisher | View at Google Scholar | View at Indexing
• YOUSEFI MESRI SH. Investigating Microstructure in the Brain using Diffusion Weighted Magnetic Resonance Imaging. View at Publisher | View at Google Scholar | View at Indexing
• Lewis Jr JS, Ali S, Luo J, Thorstad WL, Madabhushi A. A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma. The American journal of surgical pathology. 2014 Jan;38(1):128. View at Publisher | View at Google Scholar | View at Indexing

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