1.
Rieke N, Hancox J, Li W, Milletarì F, Roth HR, Albarqouni S, Bakas S, Galtier MN, Landman BA, Maier-Hein K, Ourselin S, Sheller M, Summers RM, Trask A, Xu D, Baust M, Cardoso MJ. The future of digital health with federated learning. NPJ Digit Med. 2020 Sep 14;3:119.
2.
Kickingereder P, Brugnara G, Hansen MB, Nowosielski M, Pflüger I, Schell M, Isensee F, Foltyn M, Neuberger U, Kessler T, Sahm F, Wick A, Heiland S, Weller M, Platten M, von Deimling A, Maier-Hein KH, Østergaard L, van den Bent MJ, Gorlia T, Wick W, Bendszus M. Noninvasive Characterization of Tumor Angiogenesis and Oxygenation in Bevacizumab-treated Recurrent Glioblastoma by Using Dynamic Susceptibility MRI: Secondary Analysis of the European Organization for Research and Treatment of Cancer 26101 Trial. Radiology. 2020 Oct;297(1):164–75.
3.
Schelb P, Wang X, Radtke JP, Wiesenfarth M, Kickingereder P, Stenzinger A, Hohenfellner M, Schlemmer H-P, Maier-Hein KH, Bonekamp D. Simulated clinical deployment of fully automatic deep learning for clinical prostate MRI assessment. Eur Radiol. 2020 Aug 7;
4.
Naumann P, Ottensmeier F, Farnia B, Ben-Josef E, Liermann J, Maier-Hein KH, Hackert T, Debus J. Radiographic Response of Vessel Involvement and Resectability After Neoadjuvant Chemoradiation in Patients With Locally Advanced Pancreatic Cancer. Am J Clin Oncol. 2020 Aug 18;
5.
Kesch C, Radtke J-P, 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 M-R, Pahernik S, Perner S, Herpel E, Roth W, Wieczorek K, Maier-Hein K, Debus J, Haberkorn U, Giesel F, Galle J, Hadaschik B, Schlemmer H-P, Hohenfellner M, Bonekamp D, Sültmann H, Duensing S. Correlation between genomic index lesions and mpMRI and 68Ga-PSMA-PET/CT imaging features in primary prostate cancer. Sci Rep. 2018 12;8(1):16708.
6.
Adeberg S, König L, Bostel T, Harrabi S, Welzel T, Debus J, Combs SE. Glioblastoma Recurrence Patterns After Radiation Therapy With Regard to the Subventricular Zone. International Journal of Radiation Oncology*Biology*Physics [Internet]. 2014 Nov 15 [cited 2020 Aug 28];90(4):886–93. Available from: http://www.sciencedirect.com/science/article/pii/S0360301614035342
7.
Maier-Hein* KH, Neher PF, Reicht I, van Bruggen T, Goch CJ, Reisert M, Nolden M, Zelzer S, Meinzer H-P, Stieltjes B. MITK diffusion imaging. Methods Inf Med. 2012;51(5):441–8.
8.
van Bruggen T, Stieltjes B, Thomann PA, Parzer P, Meinzer H-P, Maier-Hein* KH. Do Alzheimer-specific microstructural changes in mild cognitive impairment predict conversion? Psychiatry Res. 2012 Aug;203(2–3):184–93.
9.
Pujol S, Wells W, Pierpaoli C, Brun C, Gee J, Cheng G, Vemuri B, Commowick O, Prima S, Stamm A, Goubran M, Khan A, Peters T, Neher P, Maier-Hein KH, Shi Y, Tristan-Vega A, Veni G, Whitaker R, Styner M, Westin C-F, Gouttard S, Norton I, Chauvin L, Mamata H, Gerig G, Nabavi A, Golby A, Kikinis R. The DTI Challenge: Toward Standardized Evaluation of Diffusion Tensor Imaging Tractography for Neurosurgery. J Neuroimaging. 2015 Nov;25(6):875–82.
10.
Kuru TH, Roethke MC, Stieltjes B, Maier-Hein K, Schlemmer H-P, Hadaschik BA, Fenchel M. Intravoxel incoherent motion (IVIM) diffusion imaging in prostate cancer - what does it add? J Comput Assist Tomogr. 2014 Aug;38(4):558–64.
11.
Brugnara G, Isensee F, Neuberger U, Bonekamp D, Petersen J, Diem R, Wildemann B, Heiland S, Wick W, Bendszus M, Maier-Hein K, Kickingereder P. Automated volumetric assessment with artificial neural networks might enable a more accurate assessment of disease burden in patients with multiple sclerosis. European Radiology [Internet]. 2020 Mar 1 [cited 2020 Jan 8]; Available from: http://link.springer.com/10.1007/s00330-019-06593-y
12.
Kausch L, Thomas S, Kunze H, Privalov M, Vetter S, Franke J, Mahnken AH, Maier-Hein L, Maier-Hein K. Toward automatic C-arm positioning for standard projections in orthopedic surgery. Int J Comput Assist Radiol Surg. 2020 Jun 12;
13.
Fedorov A, Beichel R, Kalpathy-Cramer J, Clunie D, Onken M, Riesmeier J, Herz C, Bauer C, Beers A, Fillion-Robin J-C, Lasso A, Pinter C, Pieper S, Nolden M, Maier-Hein K, Herrmann MD, Saltz J, Prior F, Fennessy F, Buatti J, Kikinis R. Quantitative Imaging Informatics for Cancer Research. JCO Clin Cancer Inform. 2020 May;4:444–53.
14.
Schell M, Pflüger I, Brugnara G, Isensee F, Neuberger U, Foltyn M, Kessler T, Sahm F, Wick A, Nowosielski M, Heiland S, Weller M, Platten M, Maier-Hein KH, von Deimling A, van den Bent MJ, Gorlia T, Wick W, Bendszus M, Kickingereder P. Validation of diffusion MRI phenotypes for predicting response to bevacizumab in recurrent glioblastoma: post-hoc analysis of the EORTC-26101 trial. Neuro-oncology. 2020 May 11;
15.
Wasserthal J, Maier-Hein KH, Neher PF, Northoff G, Kubera KM, Fritze S, Harneit A, Geiger LS, Tost H, Wolf RC, Hirjak D. Multiparametric mapping of white matter microstructure in catatonia. Neuropsychopharmacology. 2020 May 5;
16.
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 M-C, 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. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology. 2020 May;295(2):328–38.
17.
Wasserthal J, Neher P, Maier-Hein KH. TractSeg - Fast and accurate white matter tract segmentation. NeuroImage [Internet]. 2018 Aug [cited 2018 Aug 6];183:239–53. Available from: http://www.sciencedirect.com/science/article/pii/S1053811918306864
18.
Götz M, Maier-Hein KH. Optimal Statistical Incorporation of Independent Feature Stability Information into Radiomics Studies. Scientific Reports [Internet]. 2020 [cited 2020 Jan 21];10(1). Available from: http://www.nature.com/articles/s41598-020-57739-8
19.
Becker D, Scherer M, Neher P, Jungk C, Jesser J, Pflüger I, Brinster R, Bendszus M, Thomas B, Maier-Hein K, Unterberg A. Going beyond DTI-tractography in eloquent glioma surgery - High Resolution Fiber Tractography: Q-ball or Constrained Spherical Deconvolution? World Neurosurg. 2019 Oct 30;
20.
Maier-Hein KH, Neher PF, Houde J-C, Côté M-A, Garyfallidis E, Zhong J, Chamberland M, Yeh F-C, Lin Y-C, Ji Q, Reddick WE, Glass JO, Chen DQ, Feng Y, Gao C, Wu Y, Ma J, He R, Li Q, Westin C-F, 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 J-P, Cetingul HE, Odry BL, Mailhe B, Nadar MS, Pizzagalli F, Prasad G, Villalon-Reina JE, Galvis J, Thompson PM, De Santiago Requejo F, 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. Author Correction: The challenge of mapping the human connectome based on diffusion tractography. Nat Commun. 2019 Nov 4;10(1):5059.
21.
Maier A, Deserno TM, Handels H, Maier-Hein K, Palm C, Tolxdorff T. IJCARS: BVM 2019 special issue. Int J Comput Assist Radiol Surg. 2019;14(11):1823–4.
22.
Scherer M, Jung J-O, Cordes J, Wessels L, Younsi A, Schönenberger S, Möhlenbruch MA, Maier-Hein K, Unterberg A, Zweckberger K. Association of Cerebrospinal Fluid Volume with Cerebral Vasospasm After Aneurysmal Subarachnoid Hemorrhage: A Retrospective Volumetric Analysis. Neurocrit Care. 2019 Nov 26;
23.
Kenngott HG, Nickel F, Wise PA, Wagner F, Billeter AT, Nattenmüller J, Nabers D, Maier-Hein K, Kauczor H-U, Fischer L, Müller-Stich BP. 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. Obes Surg. 2019 Jul 15;
24.
Thomas S, Isensee F, Kohl S, Privalov M, Beisemann N, Swartman B, Keil H, Vetter SY, Franke J, Grützner PA, Maier-Hein L, Nolden M, Maier-Hein K. Computer-assisted intra-operative verification of surgical outcome for the treatment of syndesmotic injuries through contralateral side comparison. Int J Comput Assist Radiol Surg. 2019 Aug 7;
25.
Isensee F, Schell M, Pflueger I, Brugnara G, Bonekamp D, Neuberger U, Wick A, Schlemmer H, Heiland S, Wick W, Bendszus M, Maier‐Hein KH, Kickingereder P. Automated brain extraction of multisequence MRI using artificial neural networks. Human Brain Mapping [Internet]. 2019 [cited 2019 Oct 24];40(17):4952–64. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/hbm.24750
26.
Schelb P, Kohl S, Radtke JP, Wiesenfarth M, Kickingereder P, Bickelhaupt S, Kuder TA, Stenzinger A, Hohenfellner M, Schlemmer H-P, Maier-Hein KH, Bonekamp D. Classification of Cancer at Prostate MRI: Deep Learning versus                    Clinical PI-RADS Assessment. Radiology [Internet]. 2019 Oct 8 [cited 2019 Oct 9];190938. Available from: https://pubs.rsna.org/doi/10.1148/radiol.2019190938
27.
Wasserthal J, Neher PF, Hirjak D, Maier-Hein KH. Combined tract segmentation and orientation mapping for bundle-specific tractography. Medical Image Analysis [Internet]. 2019 Dec 1 [cited 2019 Sep 20];58:101559. Available from: http://www.sciencedirect.com/science/article/pii/S136184151930101X
28.
Hirjak D, Sambataro F, Remmele B, Kubera KM, Schröder J, Seidl U, Thomann AK, Maier-Hein KH, Wolf RC, Thomann PA. The relevance of hippocampal subfield integrity and clock drawing test performance for the diagnosis of Alzheimer’s disease and mild cognitive impairment. World J Biol Psychiatry. 2019 Mar;20(3):197–208.
29.
Klein A, Warszawski J, Hillengaß J, Maier-Hein KH. Automatic bone segmentation in whole-body CT images. Int J Comput Assist Radiol Surg. 2019 Jan;14(1):21–9.
30.
Nath V, Schilling KG, Parvathaneni P, Huo Y, Blaber JA, Hainline AE, Barakovic M, Romascano D, Rafael-Patino J, Frigo M, Girard G, Thiran J-P, Daducci A, Rowe M, Rodrigues P, Prčkovska V, Aydogan DB, Sun W, Shi Y, Parker WA, Ould Ismail AA, Verma R, Cabeen RP, Toga AW, Newton AT, Wasserthal J, Neher P, Maier-Hein K, Savini G, Palesi F, Kaden E, Wu Y, He J, Feng Y, Paquette M, Rheault F, Sidhu J, Lebel C, Leemans A, Descoteaux M, Dyrby TB, Kang H, Landman BA. Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge. J Magn Reson Imaging. 2019 Jun 9;
31.
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. Exploring cortical predictors of clinical response to electroconvulsive therapy in major depression. Eur Arch Psychiatry Clin Neurosci. 2019 Jul 5;
32.
Sambataro F, Thomann PA, Nolte HM, Hasenkamp JH, Hirjak D, Kubera KM, Hofer S, Seidl U, Depping MS, Stieltje B, Maier-Hein K, Wolf RC. Transdiagnostic modulation of brain networks by electroconvulsive therapy in schizophrenia and major depression. Eur Neuropsychopharmacol. 2019 Jul 3;
33.
Kickingereder P, Isensee F, Tursunova I, Petersen J, Neuberger U, Bonekamp D, Brugnara G, Schell M, Kessler T, Foltyn M, Harting I, Sahm F, Prager M, Nowosielski M, Wick A, Nolden M, Radbruch A, Debus J, Schlemmer H-P, Heiland S, Platten M, von Deimling A, van den Bent MJ, Gorlia T, Wick W, Bendszus M, Maier-Hein KH. Automated quantitative tumour response assessment of MRI in neuro-oncology with artificial neural networks: a multicentre, retrospective study. Lancet Oncol. 2019 May;20(5):728–40.
34.
Schilling KG, Daducci A, Maier-Hein K, Poupon C, Houde J-C, Nath V, Anderson AW, Landman BA, Descoteaux M. Challenges in diffusion MRI tractography - Lessons learned from international benchmark competitions. Magn Reson Imaging. 2019 Apr;57:194–209.
35.
Debus C, Floca R, Ingrisch M, Kompan I, Maier-Hein K, Abdollahi A, Nolden M. MITK-ModelFit: A generic open-source framework for model fits and their exploration in medical imaging - design, implementation and application on the example of DCE-MRI. BMC Bioinformatics. 2019 Jan 16;20(1):31.
36.
Dolde K, Dávid C, Echner G, Floca R, Hentschke C, Maier F, Niebuhr N, Ohmstedt K, Saito N, Alimusaj M, Fluegel B, Naumann P, Dreher C, Freitag M, Pfaffenberger A. 4DMRI-based analysis of inter— and intrafractional pancreas motion and deformation with different immobilization devices. Biomed Phys Eng Express [Internet]. 2019 Jan;5(2):025012. Available from: https://doi.org/10.1088%2F2057-1976%2Faaf9ae
37.
Maier-Hein L, Eisenmann M, Reinke A, Onogur S, Stankovic M, Scholz P, Arbel T, Bogunovic H, Bradley AP, Carass A, Feldmann C, Frangi AF, Full PM, Ginneken B van, Hanbury A, Honauer K, Kozubek M, Landman BA, März K, Maier O, Maier-Hein K, Menze BH, Müller H, Neher PF, Niessen W, Rajpoot N, Sharp GC, Sirinukunwattana K, Speidel S, Stock C, Stoyanov D, Taha AA, Sommen F van der, Wang C-W, Weber M-A, Zheng G, Jannin P, Kopp-Schneider A. Why rankings of biomedical image analysis competitions should be interpreted with care. Nature Communications [Internet]. 2018 Dec 6 [cited 2019 Jan 29];9(1):5217. Available from: https://www.nature.com/articles/s41467-018-07619-7
38.
Götz M, Nolden M, Maier-Hein K. MITK Phenotyping: An open-source toolchain for image-based personalized medicine with radiomics. Radiotherapy and Oncology [Internet]. 2019 Feb 1 [cited 2019 Jan 7];131:108–11. Available from: http://www.sciencedirect.com/science/article/pii/S0167814018336156
39.
Heim E, Seitel A, Andrulis J, Isensee F, Stock C, Ross T, Maier-Hein L. Clickstream Analysis for Crowd-Based Object Segmentation with Confidence. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018 Dec;40(12):2814–26.
40.
Schilling KG, Nath V, Hansen C, Parvathaneni P, Blaber J, Gao Y, Neher P, Aydogan DB, Shi Y, Ocampo-Pineda M, Schiavi S, Daducci A, Girard G, Barakovic M, Rafael-Patino J, Romascano D, Rensonnet G, Pizzolato M, Bates A, Fischi E, Thiran J-P, Canales-Rodríguez EJ, Huang C, Zhu H, Zhong L, Cabeen R, Toga AW, Rheault F, Theaud G, Houde J-C, Sidhu J, Chamberland M, Westin C-F, Dyrby TB, Verma R, Rathi Y, Irfanoglu MO, Thomas C, Pierpaoli C, Descoteaux M, Anderson AW, Landman BA. Limits to anatomical accuracy of diffusion tractography using modern approaches. Neuroimage. 2018 Oct 11;185:1–11.
41.
Hirjak D, Thomann AK, Kubera KM, Wolf RC, Jeung H, Maier-Hein KH, Thomann PA. Cortical folding patterns are associated with impulsivity in healthy young adults. Brain Imaging and Behavior [Internet]. 2017 Dec 1 [cited 2018 Nov 27];11(6):1592–603. Available from: https://doi.org/10.1007/s11682-016-9618-2
42.
Kehler L, Norajitra T, Ley-Zaporozhan J, Giannakis A, Rubtsov R, Bauer-Kemeny C, Maier-Hein K, Heussel C-P, Kreuter M. Visual and fully-automated CT analysis in acute exacerbations of idiopathic pulmonary fibrosis (IPF). European Respiratory Journal [Internet]. 2018 Sep 15 [cited 2018 Nov 27];52(suppl 62):PA5242. Available from: http://erj.ersjournals.com/content/52/suppl_62/PA5242
43.
Kesch C, Radtke J-P, 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 M-R, Pahernik S, Perner S, Herpel E, Roth W, Wieczorek K, Maier-Hein K, Debus J, Haberkorn U, Giesel F, Galle J, Hadaschik B, Schlemmer H-P, Hohenfellner M, Bonekamp D, Sültmann H, Duensing S. Correlation between genomic index lesions and mpMRI and 68 Ga-PSMA-PET/CT imaging features in primary prostate cancer. Scientific Reports [Internet]. 2018 Nov 12 [cited 2018 Nov 27];8(1):16708. Available from: https://www.nature.com/articles/s41598-018-35058-3
44.
Rheault F, St-Onge E, Sidhu J, Maier-Hein K, Tzourio-Mazoyer N, Petit L, Descoteaux M. Bundle-specific tractography with incorporated anatomical and orientational priors. NeuroImage [Internet]. 2019 Feb 1 [cited 2018 Nov 27];186:382–98. Available from: http://www.sciencedirect.com/science/article/pii/S1053811918320883
45.
Ahlbrandt J, Lablans M, Glocker K, Stahl-Toyota S, Maier-Hein K, Maier-Hein L, Ückert F. Modern Information Technology for Cancer Research: What’s in IT for Me? An Overview of Technologies and Approaches. OCL [Internet]. 2018 Nov 15 [cited 2018 Nov 19];1–7. Available from: https://www.karger.com/Article/FullText/493638
46.
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 H-P, Maier-Hein KH. Radiomic Machine Learning for Characterization of Prostate Lesions with MRI: Comparison to ADC Values. Radiology [Internet]. 2018 Jul 31 [cited 2018 Aug 1];173064. Available from: https://pubs.rsna.org/doi/10.1148/radiol.2018173064
47.
Bernard O, Lalande A, Zotti C, Cervenansky F, Yang X, Heng P-A, Cetin I, Lekadir K, Camara O, Ballester MAG, Sanroma G, Napel S, Petersen S, Tziritas G, Grinias E, Khened M, Kollerathu VA, Krishnamurthi G, Rohe M-M, Pennec X, Sermesant M, Isensee F, Jager P, Maier-Hein KH, Baumgartner CF, Koch LM, Wolterink JM, Isgum I, Jang Y, Hong Y, Patravali J, Jain S, Humbert O, Jodoin P-M. Deep Learning Techniques for Automatic MRI Cardiac Multi-structures Segmentation and Diagnosis: Is the Problem Solved? IEEE Trans Med Imaging. 2018 May 17;
48.
Straub S, Emmerich J, Schlemmer H-P, Maier-Hein KH, Ladd ME, Röthke MC, Bonekamp D, Laun FB. Mask-Adapted Background Field Removal for Artifact Reduction in Quantitative Susceptibility Mapping of the Prostate. Tomography. 2017 Jun;3(2):96–100.
49.
Scherer M, Jungk C, Götz M, Kickingereder P, Reuss D, Bendszus M, Maier-Hein K, Unterberg A. Early postoperative delineation of residual tumor after low-grade glioma resection by probabilistic quantification of diffusion-weighted imaging. Journal of Neurosurgery [Internet]. 2018 Jul 27;1–9. Available from: http://thejns.org/doi/abs/10.3171/2018.2.JNS172951
50.
Ross T, Zimmerer D, Vemuri A, Isensee F, Wiesenfarth M, Bodenstedt S, Both F, Kessler P, Wagner M, Müller B, Kenngott H, Speidel S, Kopp-Schneider A, Maier-Hein K, Maier-Hein L. Exploiting the potential of unlabeled endoscopic video data with self-supervised learning. Int J Comput Assist Radiol Surg. 2018 Apr 27;
51.
Kubera KM, Schmitgen MM, Maier-Hein KH, Thomann PA, Hirjak D, Wolf RC. Differential contributions of cortical thickness and surface area to trait impulsivity in healthy young adults. Behav Brain Res. 2018 May 8;
52.
Bickelhaupt S, Jaeger PF, Laun FB, Lederer W, Daniel H, Kuder TA, Wuesthof L, Paech D, Bonekamp D, Radbruch A, Delorme S, Schlemmer H-P, Steudle FH, Maier-Hein KH. Radiomics Based on Adapted Diffusion Kurtosis Imaging Helps to Clarify Most Mammographic Findings Suspicious for Cancer. Radiology. 2018 Feb 20;170273.
53.
David A, Liu F, Tibelius A, Vulprecht J, Wald D, Rothermel U, Ohana R, Seitel A, Metzger J, Ashery-Padan R, Meinzer H-P, Gröne H-J, Izraeli S, Krämer A. Lack of centrioles and primary cilia in STIL−/− mouse embryos. Cell Cycle [Internet]. 2014 Oct 30 [cited 2018 Jan 24];13(18):2859–68. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4615128/
54.
Hering J, Wolf I, Maier-Hein KH. Multi-Objective Memetic Search for Robust Motion and Distortion Correction in Diffusion MRI. IEEE transactions on medical imaging [Internet]. 2016 [cited 2017 Oct 10];35(10):2280–2291. Available from: http://ieeexplore.ieee.org/abstract/document/7457697/
55.
Kolb C, Wetscherek A, Buzan MT, Werner R, Rank CM, Kachelrie M, Kreuter M, Dinkel J, Heuel CP, Maier-Hein K. Regional lung ventilation analysis using temporally resolved magnetic resonance imaging. Journal of computer assisted tomography [Internet]. 2016 [cited 2017 Oct 14];40(6):899–906. Available from: http://journals.lww.com/jcat/Abstract/2016/11000/Regional_Lung_Ventilation_Analysis_Using.11.aspx
56.
Norajitra T, Maier-Hein KH. 3D Statistical Shape Models Incorporating Landmark-Wise Random Regression Forests for Omni-Directional Landmark Detection. IEEE transactions on medical imaging [Internet]. 2017 [cited 2017 Oct 14];36(1):155–168. Available from: http://ieeexplore.ieee.org/abstract/document/7544533/
57.
Bickelhaupt S, Paech D, Kickingereder P, Steudle F, Lederer W, Daniel H, Götz M, Gählert N, Tichy D, Wiesenfarth M, Laun FB, Maier-Hein KH, Schlemmer H-P, Bonekamp D. Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography. J Magn Reson Imaging. 2017 Aug;46(2):604–16.
58.
Petersen J, Bendszus M, Debus J, Heiland S, Maier-Hein KH. Effective user interaction in online interactive semantic segmentation of glioblastoma magnetic resonance imaging. JMI, JMIOBU [Internet]. 2017 Aug [cited 2017 Aug 24];4(3):034001. Available from: https://www.spiedigitallibrary.org/journals/Journal-of-Medical-Imaging/volume-4/issue-3/034001/Effective-user-interaction-in-online-interactive-semantic-segmentation-of-glioblastoma/10.1117/1.JMI.4.3.034001.short
59.
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 H-P, Herold-Mende C, Pfister S, Deimling A von, Wick W, Capper D, Maier-Hein KH, Bendszus M. Radiomic subtyping improves disease stratification beyond key molecular, clinical and standard imaging characteristics in patients with glioblastoma. Neuro Oncol [Internet]. 2017 Sep 28 [cited 2017 Oct 19]; Available from: https://academic.oup.com/neuro-oncology/article/doi/10.1093/neuonc/nox188/4265638/Radiomic-subtyping-improves-disease-stratification
60.
Freitag MT, Fenchel M, Bäumer P, Heußer T, Rank CM, Kachelrieß M, Paech D, Kopka K, Bickelhaupt S, Dimitrakopoulou-Strauss A, Maier-Hein K, Floca R, Ladd ME, Schlemmer H-P, Maier F. Improved clinical workflow for simultaneous whole-body PET/MRI using high-resolution CAIPIRINHA-accelerated MR-based attenuation correction. European Journal of Radiology [Internet]. 2017 Nov 1;96(Supplement C):12–20. Available from: http://www.sciencedirect.com/science/article/pii/S0720048X17303650
61.
Maier-Hein KH, Neher PF, Houde J-C, Côté M-A, Garyfallidis E, Zhong J, Chamberland M, Yeh F-C, Lin Y-C, Ji Q, Reddick WE, Glass JO, Chen DQ, Feng Y, Gao C, Wu Y, Ma J, Renjie H, Li Q, Westin C-F, 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 J-P, Cetingul HE, Odry BL, Mailhe B, Nadar MS, Pizzagalli F, Prasad G, Villalon-Reina JE, Galvis J, Thompson PM, Requejo FDS, 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. The challenge of mapping the human connectome based on diffusion tractography. Nature Communications [Internet]. 2017 Nov 7 [cited 2017 Nov 7];8(1):1349. Available from: https://www.nature.com/articles/s41467-017-01285-x
62.
Bach M, Maier-Hein (ne Fritzsche) KH, Stieltjes B, Laun FB. Investigation of resolution effects using a specialized diffusion tensor phantom. Magn Reson Med. 2013 May 8;
63.
Wagner F, Laun FB, Kuder TA, Mlynarska A, Maier F, Faust J, Demberg K, Lindemann L, Rivkin B, Nagel AM, Ladd ME, Maier-Hein K, Bickelhaupt S, Bach M. Temperature and concentration calibration of aqueous polyvinylpyrrolidone (PVP) solutions for isotropic diffusion MRI phantoms. PLoS ONE. 2017;12(6):e0179276.
64.
Neher PF, Côté M-A, Houde J-C, Descoteaux M, Maier-Hein KH. Fiber tractography using machine learning. NeuroImage [Internet]. 2017 [cited 2017 Jul 24];158:417–29. Available from: http://linkinghub.elsevier.com/retrieve/pii/S1053811917305967
65.
Maier-Hein* KH, von Wangenheim A, Abdala DD, Meinzer H-P. A computational method for the estimation of atrophic changes in Alzheimer’s disease and mild cognitive impairment. Comput Med Imaging Graph. 2008 Jun;32(4):294–303.
66.
Maier-Hein* KH, Meinzer H-P. Numerical Q-ball image reconstruction: an {ITK} implementation. Insight J [Internet]. 2009; Available from: http://hdl.handle.net/10380/3057
67.
Maier-Hein* KH, Laun FB, Meinzer H-P, Stieltjes B. Opportunities and pitfalls in the quantification of fiber integrity: what can we gain from Q-ball imaging? Neuroimage. 2010 May 15;51(1):242–51.
68.
Stein D, Maier-Hein* KH, Nolden M, Meinzer HP, Wolf I. The extensible open-source rigid and affine image registration module of the Medical Imaging Interaction Toolkit (MITK). Comput Methods Programs Biomed. 2010 Oct;100(1):79–86.
69.
Maier-Hein* KH, Stieltjes B, Schlindwein S, van Bruggen T, Essig M, Meinzer H-P. Automated MR morphometry to predict Alzheimer’s disease in mild cognitive impairment. Int J Comput Assist Radiol Surg. 2010 Nov;5(6):623–32.
70.
Moussavi-Biugui A, Stieltjes B, Maier-Hein* K, Semmler W, Laun FB. Novel spherical phantoms for Q-ball imaging under in vivo conditions. Magn Reson Med. 2011 Jan;65(1):190–4.
71.
Laun FB, Maier-Hein* KH, Kuder TA, Stieltjes B. [Introduction to the basic principles and techniques of diffusion-weighted imaging]. Radiologe. 2011 Mar;51(3):170–9.
72.
Seitel A, Engel M, Sommer CM, Radeleff BA, Essert-Villard C, Baegert C, Fangerau M, Maier-Hein* KH, Yung K, Meinzer H-P, Maier-Hein L. Computer-assisted trajectory planning for percutaneous needle insertions. Med Phys. 2011 Jun;38(6):3246–59.
73.
Simon D, Maier-Hein* KH, Thieke C, Klein J, Parzer P, Weber M-A, Stieltjes B. Diffusion-weighted imaging-based probabilistic segmentation of high- and low-proliferative areas in high-grade gliomas. Cancer Imaging. 2012;12:89–99.
74.
Ganten M-K, Schuessler M, Bäuerle T, Muenter M, Schlemmer H-P, Jensen A, Brand K, Dueck M, Dinkel J, Kopp-Schneider A, Maier-Hein* K, Stieltjes B. The role of perfusion effects in monitoring of chemoradiotherapy of rectal carcinoma using diffusion-weighted imaging. Cancer Imaging. 2013;13(4):548–56.
75.
Bäuerle T, Seyler L, Münter M, Jensen A, Brand K, Maier-Hein* KH, Kopp-Schneider A, Schüssler M, Schlemmer HP, Stieltjes B, Ganten M. Diffusion-weighted imaging in rectal carcinoma patients without and after chemoradiotherapy: a comparative study with histology. Eur J Radiol. 2013 Mar;82(3):444–52.
76.
Freitag MT, van Bruggen T, Maier-Hein* KH, Henze R, Brunner R, Parzer P, Resch F, Stieltjes B. Reduced lateralization in early onset schizophrenia. Neurosci Lett. 2013 Mar 14;537:23–8.
77.
Nolden M, Zelzer S, Seitel A, Wald D, Müller M, Franz AM, Maleike D, Fangerau M, Baumhauer M, Maier-Hein L, Maier-Hein KH, Meinzer H-P, Wolf I. The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development. Int J Comput Assist Radiol Surg. 2013 Jul;8(4):607–20.
78.
Debus C, Combs S, Floca R, Maier-Hein K, Nolden M, Schwager C, Radbruch A, Lutz K, Jäkel O, Wick W, others. The Battle Between Amino Acid PET and Functional MRI: Precision of Tumor Delineation Examined by Glioma Progression Pattern After Radiation Therapy. International Journal of Radiation Oncology, Biology, Physics. 2014;90(1):290–1.
79.
Fletcher E, Carmichael O, Pasternak O, Maier-Hein KH, DeCarli C. Early Brain Loss in Circuits Affected by Alzheimer’s Disease is Predicted by Fornix Microstructure but may be Independent of Gray Matter. Front Aging Neurosci. 2014;6:106.
80.
Maier-Hein KH, Brunner R, Lutz K, Henze R, Parzer P, Feigl N, Kramer J, Meinzer H-P, Resch F, Stieltjes B. Disorder-specific white matter alterations in adolescent borderline personality disorder. Biol Psychiatry. 2014 Jan 1;75(1):81–8.
81.
Goch CJ, Stieltjes B, Henze R, Hering J, Poustka L, Meinzer H-P, Maier-Hein KH. Quantification of changes in language-related brain areas in autism spectrum disorders using large-scale network analysis. Int J Comput Assist Radiol Surg. 2014 May;9(3):357–65.
82.
Hauser T, Essig M, Jensen A, Laun FB, Münter M, Maier-Hein KH, Stieltjes B. Prediction of treatment response in head and neck carcinomas using IVIM-DWI: Evaluation of lymph node metastasis. Eur J Radiol. 2014 May;83(5):783–7.
83.
Bach M, Laun FB, Leemans A, Tax CMW, Biessels GJ, Stieltjes B, Maier-Hein KH. Methodological considerations on tract-based spatial statistics (TBSS). Neuroimage. 2014 Oct 15;100:358–69.
84.
Neher PF, Laun FB, Stieltjes B, Maier-Hein KH. Fiberfox: facilitating the creation of realistic white matter software phantoms. Magn Reson Med. 2014 Nov;72(5):1460–70.
85.
Hirjak D, Wolf RC, Kubera KM, Stieltjes B, Maier-Hein KH, Thomann PA. Neurological soft signs in recent-onset schizophrenia: Focus on the cerebellum. Prog Neuropsychopharmacol Biol Psychiatry. 2015 Jan 29;60:18–25.
86.
Maier-Hein KH, Westin C-F, Shenton ME, Weiner MW, Raj A, Thomann P, Kikinis R, Stieltjes B, Pasternak O. Widespread white matter degeneration preceding the onset of dementia. Alzheimer’s & Dementia [Internet]. 2015 May [cited 2015 May 27];11(5):485-493.e2. Available from: http://www.sciencedirect.com/science/article/pii/S1552526014006487
87.
Klauß M, Mayer P, Bergmann F, Maier-Hein K, Hase J, Hackert T, Kauczor H-U, Grenacher L, Stieltjes B. Correlation of Histological Vessel Characteristics and Diffusion-Weighted Imaging Intravoxel Incoherent Motion-Derived Parameters in Pancreatic Ductal Adenocarcinomas and Pancreatic Neuroendocrine Tumors. Invest Radiol. 2015 Nov;50(11):792–7.
88.
Neher PF, Descoteaux M, Houde J-C, Stieltjes B, Maier-Hein KH. Strengths and weaknesses of state of the art fiber tractography pipelines – A comprehensive in-vivo and phantom evaluation study using Tractometer. Medical Image Analysis [Internet]. 2015 Dec [cited 2015 Nov 30];26(1):287–305. Available from: http://www.sciencedirect.com/science/article/pii/S136184151500153X
89.
Kleesiek J, Urban G, Hubert A, Schwarz D, Maier-Hein K, Bendszus M, Biller A. Deep MRI brain extraction: A 3D convolutional neural network for skull stripping. Neuroimage. 2016 Apr 1;129:460–9.
90.
Kleesiek J, Petersen J, Döring M, Maier-Hein K, Köthe U, Wick W, Hamprecht FA, Bendszus M, Biller A. Virtual Raters for Reproducible and Objective Assessments in Radiology. Sci Rep [Internet]. 2016 Apr 27 [cited 2017 Mar 30];6. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4846987/
91.
Hirjak D, Wolf RC, Paternoga I, Kubera KM, Thomann AK, Stieltjes B, Maier-Hein KH, Thomann PA. Neuroanatomical Markers of Neurological Soft Signs in Recent-Onset Schizophrenia and Asperger-Syndrome. Brain Topogr. 2016 May;29(3):382–94.
92.
Kickingereder P, Burth S, Wick A, Götz M, Eidel O, Schlemmer H-P, Maier-Hein KH, Wick W, Bendszus M, Radbruch A, Bonekamp D. Radiomic Profiling of Glioblastoma: Identifying an Imaging Predictor of Patient Survival with Improved Performance over Established Clinical and Radiologic Risk Models. Radiology. 2016 Jun 20;160845.
93.
Klauß M, Maier-Hein K, Tjaden C, Hackert T, Grenacher L, Stieltjes B. IVIM DW-MRI of autoimmune pancreatitis: therapy monitoring and differentiation from pancreatic cancer. Eur Radiol. 2016 Jul;26(7):2099–106.
94.
Klauss M, Mayer P, Maier-Hein K, Laun FB, Mehrabi A, Kauczor H-U, Stieltjes B. IVIM-diffusion-MRI for the differentiation of solid benign and malign hypervascular liver lesions-Evaluation with two different MR scanners. Eur J Radiol. 2016 Jul;85(7):1289–94.
95.
Maier O, Menze BH, von der Gablentz J, Häni L, Heinrich MP, Liebrand M, Winzeck S, Basit A, Bentley P, Chen L, Christiaens D, Dutil F, Egger K, Feng C, Glocker B, Götz M, Haeck T, Halme H-L, Havaei M, Iftekharuddin KM, Jodoin P-M, Kamnitsas K, Kellner E, Korvenoja A, Larochelle H, Ledig C, Lee J-H, Maes F, Mahmood Q, Maier-Hein KH, McKinley R, Muschelli J, Pal C, Pei L, Rangarajan JR, Reza SMS, Robben D, Rueckert D, Salli E, Suetens P, Wang C-W, Wilms M, Kirschke JS, Krämer UM, Münte TF, Schramm P, Wiest R, Handels H, Reyes M. ISLES 2015 - A public evaluation benchmark for ischemic stroke lesion segmentation from multispectral MRI. Med Image Anal. 2016 Jul 21;35:250–69.
96.
Wolf RC, Nolte HM, Hirjak D, Hofer S, Seidl U, Depping MS, Stieltjes B, Maier-Hein K, Sambataro F, Thomann PA. Structural network changes in patients with major depression and schizophrenia treated with electroconvulsive therapy. Eur Neuropsychopharmacol. 2016 Sep;26(9):1465–74.
97.
Kickingereder P, Götz M, Muschelli J, Wick A, Neuberger U, Shinohara RT, Sill M, Nowosielski M, Schlemmer H-P, Radbruch A, Wick W, Bendszus M, Maier-Hein KH, Bonekamp D. Large-scale Radiomic Profiling of Recurrent Glioblastoma Identifies an Imaging Predictor for Stratifying Anti-Angiogenic Treatment Response. Clin Cancer Res. 2016 Oct 10;
98.
Thomann PA, Wolf RC, Nolte HM, Hirjak D, Hofer S, Seidl U, Depping MS, Stieltjes B, Maier-Hein K, Sambataro F, Wüstenberg T. Neuromodulation in response to electroconvulsive therapy in schizophrenia and major depression. Brain Stimul. 2017 Jan 16;
99.
Bickelhaupt S, Tesdorff J, Laun FB, Kuder TA, Lederer W, Teiner S, Maier-Hein K, Daniel H, Stieber A, Delorme S, Schlemmer H-P. Independent value of image fusion in unenhanced breast MRI using diffusion-weighted and morphological T2-weighted images for lesion characterization in patients with recently detected BI-RADS 4/5 x-ray mammography findings. Eur Radiol. 2017 Feb;27(2):562–9.
100.
Depping MS, Nolte HM, Hirjak D, Palm E, Hofer S, Stieltjes B, Maier-Hein K, Sambataro F, Wolf RC, Thomann PA. Cerebellar volume change in response to electroconvulsive therapy in patients with major depression. Prog Neuropsychopharmacol Biol Psychiatry. 2017 Feb 6;73:31–5.
101.
Hirjak D, Thomann PA, Wolf RC, Kubera KM, Goch C, Hering J, Maier-Hein KH. White matter microstructure variations contribute to neurological soft signs in healthy adults. Hum Brain Mapp. 2017 Apr 21;
102.
Ingrisch M, Schneider MJ, Nörenberg D, Negrao de Figueiredo G, Maier-Hein K, Suchorska B, Schüller U, Albert N, Brückmann H, Reiser M, Tonn J-C, Ertl-Wagner B. Radiomic Analysis Reveals Prognostic Information in T1-Weighted Baseline Magnetic Resonance Imaging in Patients With Glioblastoma. Invest Radiol. 2017 Jun;52(6):360–6.
103.
Binczyk F, Stjelties B, Weber C, Goetz M, Meier-Hein K, Meinzer H-P, Bobek-Billewicz B, Tarnawski R, Polanska J. MiMSeg - an algorithm for automated detection of tumor tissue on NMR apparent diffusion coefficient maps. Information Sciences [Internet]. 2016 Okt [cited 2016 Dec 13]; Available from: http://www.sciencedirect.com/science/article/pii/S0020025516305345
104.
Freitag MT, Maier-Hein KH, Binczyk F, Laun FB, Weber C, Bonekamp D, Tarnawski R, Bobek-Billewicz B, Polanska J, Majchrzak H, Stieltjes B. Early Detection of Malignant Transformation in Resected WHO II Low-Grade Glioma Using Diffusion Tensor-Derived Quantitative Measures. PLOS ONE [Internet]. 2016 Oct 14 [cited 2017 Mar 30];11(10):e0164679. Available from: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0164679
105.
Goetz M, Weber C, Binczyk F, Polanska J, Tarnawski R, Bobek-Billewicz B, Koethe U, Kleesiek J, Stieltjes B, Maier-Hein KH. DALSA: Domain Adaptation for Supervised Learning From Sparsely Annotated MR Images. IEEE Trans Med Imaging. 2016 Jan;35(1):184–96.
106.
Hirjak D, Wolf RC, Pfeifer B, Kubera KM, Thomann AK, Seidl U, Maier-Hein KH, Schröder J, Thomann PA. Cortical signature of clock drawing performance in Alzheimer’s disease and mild cognitive impairment. J Psychiatr Res. 2017 Feb 22;90:133–42.
107.
Hirjak D, Wolf RC, Pfeifer B, Seidl U, Thomann AK, Kubera KM, Schröder J, Maier-Hein KH, Thomann PA. Hippocampal formation alterations differently contribute to Autobiographic memory deficits in Mild Cognitive Impairment and Alzheimer’s Disease. Hippocampus. 2017 Mar 9;
108.
Deserno TM, Handels H, Maier-Hein* KH, Mersmann S, Palm C, Tolxdorff T, Wagenknecht G, Wittenberg T. Viewpoints on Medical Image Processing: From Science to Application. Current medical imaging reviews. 2013;9(2):79.
109.
Hering J, Laun FB, Lederer W, Daniel H, Kuder TA, Stieber A, Delorme S, Maier-Hein KH, Schlemmer H-P, Bickelhaupt S. Applicability and discriminative value of a semiautomatic three-dimensional spherical volume for the assessment of the apparent diffusion coefficient in suspicious breast lesions-feasibility study. Clin Imaging. 2016 Sep 4;40(6):1280–5.
110.
Scherer M, Cordes J, Younsi A, Sahin Y-A, Götz M, Möhlenbruch M, Stock C, Bösel J, Unterberg A, Maier-Hein K, Orakcioglu B. Development and Validation of an Automatic Segmentation Algorithm for Quantification of Intracerebral Hemorrhage. Stroke. 2016 Nov;47(11):2776–82.