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Year Number of Results
2008 1
2010 3
2011 3
2012 4
2013 6
2014 9
2015 8
2016 18
2017 18
2018 15
2019 20
2020 17
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102 results
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Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment.
Schelb P, Kohl S, Radtke JP, Wiesenfarth M, Kickingereder P, Bickelhaupt S, Kuder TA, Stenzinger A, Hohenfellner M, Schlemmer HP, Maier-Hein KH, Bonekamp D. Schelb P, et al. Among authors: maier hein kh. Radiology. 2019 Dec;293(3):607-617. doi: 10.1148/radiol.2019190938. Epub 2019 Oct 8. Radiology. 2019. PMID: 31592731
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of deep learning to provide diagnostic support for human interpretation requires further evaluation. ...
Background Men suspected of having clinically significant prostate cancer (sPC) increasingly undergo prostate MRI. The potential of d …
Correlation between genomic index lesions and mpMRI and (68)Ga-PSMA-PET/CT imaging features in primary prostate cancer.
Kesch C, Radtke JP, Wintsche A, Wiesenfarth M, Luttje M, Gasch C, Dieffenbacher S, Pecqueux C, Teber D, Hatiboglu G, Nyarangi-Dix J, Simpfendörfer T, Schönberg G, Dimitrakopoulou-Strauss A, Freitag M, Duensing A, Grüllich C, Jäger D, Götz M, Grabe N, Schweiger MR, Pahernik S, Perner S, Herpel E, Roth W, Wieczorek K, Maier-Hein K, Debus J, Haberkorn U, Giesel F, Galle J, Hadaschik B, Schlemmer HP, Hohenfellner M, Bonekamp D, Sültmann H, Duensing S. Kesch C, et al. Among authors: maier hein k. Sci Rep. 2018 Nov 12;8(1):16708. doi: 10.1038/s41598-018-35058-3. Sci Rep. 2018. PMID: 30420756 Free PMC article.
Magnetic resonance imaging (MRI) and prostate specific membrane antigen (PSMA)- positron emission tomography (PET)/computed tomography (CT)-imaging of prostate cancer (PCa) are emerging techniques to assess the presence of significant disease and tumor progression. ...
Magnetic resonance imaging (MRI) and prostate specific membrane antigen (PSMA)- positron emission tomography (PET)/computed tomography (CT)- …
Weight Loss and Changes in Adipose Tissue and Skeletal Muscle Volume after Laparoscopic Sleeve Gastrectomy and Roux-en-Y Gastric Bypass: a Prospective Study with 12-Month Follow-Up.
Kenngott HG, Nickel F, Wise PA, Wagner F, Billeter AT, Nattenmüller J, Nabers D, Maier-Hein K, Kauczor HU, Fischer L, Müller-Stich BP. Kenngott HG, et al. Among authors: maier hein k. Obes Surg. 2019 Dec;29(12):4018-4028. doi: 10.1007/s11695-019-04087-w. Obes Surg. 2019. PMID: 31309523
DESIGN: Prospective non-randomized single-center cohort study METHODS: Whole-body magnetic resonance imaging (MRI) measured volumes of subcutaneous adipose tissue (SAT), visceral adipose tissue (VAT), and skeletal muscle (SM) in 31 patients with laparoscopic sleeve gastrec …
DESIGN: Prospective non-randomized single-center cohort study METHODS: Whole-body magnetic resonance imaging (MRI) measured volumes o …
Radiomic subtyping improves disease stratification beyond key molecular, clinical, and standard imaging characteristics in patients with glioblastoma.
Kickingereder P, Neuberger U, Bonekamp D, Piechotta PL, Götz M, Wick A, Sill M, Kratz A, Shinohara RT, Jones DTW, Radbruch A, Muschelli J, Unterberg A, Debus J, Schlemmer HP, Herold-Mende C, Pfister S, von Deimling A, Wick W, Capper D, Maier-Hein KH, Bendszus M. Kickingereder P, et al. Among authors: maier hein kh. Neuro Oncol. 2018 May 18;20(6):848-857. doi: 10.1093/neuonc/nox188. Neuro Oncol. 2018. PMID: 29036412 Free PMC article.
Modern Information Technology for Cancer Research: What's in IT for Me? An Overview of Technologies and Approaches.
Ahlbrandt J, Lablans M, Glocker K, Stahl-Toyota S, Maier-Hein K, Maier-Hein L, Ückert F. Ahlbrandt J, et al. Among authors: maier hein k. Oncology. 2020;98(6):363-369. doi: 10.1159/000493638. Epub 2018 Nov 15. Oncology. 2020. PMID: 30439700 Free article. Review.
Information technology (IT) can enhance or change many scenarios in cancer research for the better. In this paper, we introduce several examples, starting with clinical data reuse and collaboration including data sharing in research networks. ...
Information technology (IT) can enhance or change many scenarios in cancer research for the better. In this paper, we introduc …
Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values.
Bonekamp D, Kohl S, Wiesenfarth M, Schelb P, Radtke JP, Götz M, Kickingereder P, Yaqubi K, Hitthaler B, Gählert N, Kuder TA, Deister F, Freitag M, Hohenfellner M, Hadaschik BA, Schlemmer HP, Maier-Hein KH. Bonekamp D, et al. Among authors: maier hein kh. Radiology. 2018 Oct;289(1):128-137. doi: 10.1148/radiol.2018173064. Epub 2018 Jul 31. Radiology. 2018. PMID: 30063191
Global and zone-specific random forest RML and mean ADC models for classification of clinically significant prostate cancer (Gleason grade group ≥ 2) were developed on the training set and the fixed models tested on an independent test set. ...
Global and zone-specific random forest RML and mean ADC models for classification of clinically significant prostate cancer (Gleason …
Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression.
Schmitgen MM, Kubera KM, Depping MS, Nolte HM, Hirjak D, Hofer S, Hasenkamp JH, Seidl U, Stieltjes B, Maier-Hein KH, Sambataro F, Sartorius A, Thomann PA, Wolf RC. Schmitgen MM, et al. Among authors: maier hein kh. Eur Arch Psychiatry Clin Neurosci. 2020 Mar;270(2):253-261. doi: 10.1007/s00406-019-01033-w. Epub 2019 Jul 5. Eur Arch Psychiatry Clin Neurosci. 2020. PMID: 31278421
The challenge of mapping the human connectome based on diffusion tractography.
Maier-Hein KH, Neher PF, Houde JC, Côté MA, Garyfallidis E, Zhong J, Chamberland M, Yeh FC, Lin YC, Ji Q, Reddick WE, Glass JO, Chen DQ, Feng Y, Gao C, Wu Y, Ma J, He R, Li Q, Westin CF, Deslauriers-Gauthier S, González JOO, Paquette M, St-Jean S, Girard G, Rheault F, Sidhu J, Tax CMW, Guo F, Mesri HY, Dávid S, Froeling M, Heemskerk AM, Leemans A, Boré A, Pinsard B, Bedetti C, Desrosiers M, Brambati S, Doyon J, Sarica A, Vasta R, Cerasa A, Quattrone A, Yeatman J, Khan AR, Hodges W, Alexander S, Romascano D, Barakovic M, Auría A, Esteban O, Lemkaddem A, Thiran JP, Cetingul HE, Odry BL, Mailhe B, Nadar MS, Pizzagalli F, Prasad G, Villalon-Reina JE, Galvis J, Thompson PM, Requejo FS, Laguna PL, Lacerda LM, Barrett R, Dell'Acqua F, Catani M, Petit L, Caruyer E, Daducci A, Dyrby TB, Holland-Letz T, Hilgetag CC, Stieltjes B, Descoteaux M. Maier-Hein KH, et al. Nat Commun. 2017 Nov 7;8(1):1349. doi: 10.1038/s41467-017-01285-x. Nat Commun. 2017. PMID: 29116093 Free PMC article.
Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. ...However, the same tractograms contain many more invalid than valid bundles, …
Based on a simulated human brain data set with ground truth tracts, we organized an open international tractography challenge, which resulte …
Transdiagnostic modulation of brain networks by electroconvulsive therapy in schizophrenia and major depression.
Sambataro F, Thomann PA, Nolte HM, Hasenkamp JH, Hirjak D, Kubera KM, Hofer S, Seidl U, Depping MS, Stieltjes B, Maier-Hein K, Wolf RC. Sambataro F, et al. Among authors: maier hein k. Eur Neuropsychopharmacol. 2019 Aug;29(8):925-935. doi: 10.1016/j.euroneuro.2019.06.002. Epub 2019 Jul 3. Eur Neuropsychopharmacol. 2019. PMID: 31279591
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping.
Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. Zwanenburg A, et al. Among authors: maier hein kh. Radiology. 2020 May;295(2):328-338. doi: 10.1148/radiol.2020191145. Epub 2020 Mar 10. Radiology. 2020. PMID: 32154773
Twenty-five research teams with unique radiomics software implementations computed feature values directly from a digital phantom, without any additional image processing. In phase II, 15 teams computed values for 1347 derived features using a CT image of a patient with lu …
Twenty-five research teams with unique radiomics software implementations computed feature values directly from a digital phantom, wi …
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