1.
Petersen J, Jäger PF, Isensee F, Kohl SAA, Neuberger U, Wick W, Debus J, Heiland S, Bendszus M, Kickingereder P, Maier-Hein KH. Deep Probabilistic Modeling of Glioma Growth. In: Shen D, Liu T, Peters TM, Staib LH, Essert C, Zhou S, Yap P-T, Khan A, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 [Internet]. Cham: Springer International Publishing; 2019 [cited 2020 Sep 25]. p. 806–14. Available from: http://link.springer.com/10.1007/978-3-030-32245-8_89
2.
Thomas S, Schnetzke M, Brehler M, Swartman B, Vetter S, Franke J, Grützner PA, Meinzer H-P, Nolden M. Upper ankle joint space detection on low contrast intraoperative fluoroscopic C-arm projections. In International Society for Optics and Photonics; 2017 [cited 2018 Jan 29]. p. 101351I. Available from: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/10135/101351I/Upper-ankle-joint-space-detection-on-low-contrast-intraoperative-fluoroscopic/10.1117/12.2255633.short
3.
Klein A, Warszawski J, Hillengaß J, Maier-Hein KH. Towards whole-body CT Bone Segmentation. In: Bildverarbeitung für die Medizin 2018. Springer Vieweg, Berlin, Heidelberg; 2018. p. 204–9.
4.
Jäger PF, Bickelhaupt S, Laun FB, Lederer W, Heidi D, Kuder TA, Paech D, Bonekamp D, Radbruch A, Delorme S, Schlemmer H-P, Steudle F, Maier-Hein KH. Revealing Hidden Potentials of the q-Space Signal in Breast Cancer. In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 [Internet]. Springer, Cham; 2017 [cited 2017 Oct 14]. p. 664–71. (Lecture Notes in Computer Science). Available from: https://link.springer.com/chapter/10.1007/978-3-319-66182-7_76
5.
Maier-Hein* KH, Giesel FL, Thomann PA, Hahn HK, Essig M, Meinzer H-P. Quantifizierung neurodegenerativer Veränderungen bei der Alzheimer Krankheit. In: Tolxdorff T, Braun J, Deserno TM, Horsch A, Handels H, Meinzer H-P, editors. Bildverarbeitung für die Medizin 2008 [Internet]. Springer Berlin Heidelberg; 2008 [cited 2014 Nov 5]. p. 363–7. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-540-78640-5_73
6.
Goch CJ, Stieltjes B, Henze R, Hering J, Meinzer H-P, Maier-Hein* KH. Quantification of Changes in Language-Related Brain Areas in Autism Spectrum Disorders Using Large-Scale Network Analysis. In: Meinzer H-P, Deserno TM, Handels H, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2013 [Internet]. Springer Berlin Heidelberg; 2013 [cited 2014 Nov 5]. p. 51–6. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-642-36480-8_11
7.
Wirkert SJ, Vemuri AS, Kenngott HG, Moccia S, Götz M, Mayer BFB, Maier-Hein KH, Elson DS, Maier-Hein L. Physiological Parameter Estimation from Multispectral Images Unleashed. In: Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017 [Internet]. Springer, Cham; 2017 [cited 2017 Nov 26]. p. 134–41. (Lecture Notes in Computer Science). Available from: https://link.springer.com/chapter/10.1007/978-3-319-66179-7_16
8.
Poulin P, Côté M-A, Houde J-C, Petit L, Neher PF, Maier-Hein KH, Larochelle H, Descoteaux M. Learn to Track: Deep Learning for Tractography. In: Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 [Internet]. Springer, Cham; 2017 [cited 2017 Nov 26]. p. 540–7. (Lecture Notes in Computer Science). Available from: https://link.springer.com/chapter/10.1007/978-3-319-66182-7_62
9.
Hering J, Neher PF, Meinzer H-P, Maier-Hein KH. Erzeugung von Referenzdaten für Kopfbewegungskorrektur in Diffusion-MRI. In: Deserno TM, Handels H, Meinzer H-P, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2014 [Internet]. Springer Berlin Heidelberg; 2014 [cited 2014 Nov 5]. p. 342–7. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-642-54111-7_63
10.
Maier-Hein L, Ross T, Gröhl J, Glocker B, Bodenstedt S, Stock C, Heim E, Götz M, Wirkert S, Kenngott H, Speidel S, Maier-Hein KH. Crowd-algorithm collaboration for large-scale endoscopic image annotation with confidence. In: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2016. Springer International Publishing; 2016. (Lecture Notes in Computer Science).
11.
Zimmerer D, Petersen J, Isensee F, Maier-Hein K. Context-encoding Variational Autoencoder for Unsupervised Anomaly Detection. In: International Conference on Medical Imaging with Deep Learning – Extended Abstract Track [Internet]. London, United Kingdom; 2019. Available from: https://openreview.net/forum?id=BylLiVXptV
12.
Kohl SAA, Romera-Paredes B, Meyer C, De Fauw J, Ledsam JR, Maier-Hein KH, Eslami SMA, Rezende DJ, Ronneberger O. A Probabilistic U-Net for Segmentation of Ambiguous Images. NIPS 2018 [Internet]. 2018 [cited 2018 Sep 20]; Available from: http://arxiv.org/abs/1806.05034
13.
Neher PF, Götz M, Norajitra T, Weber C, Maier-Hein KH. A Machine Learning Based Approach to Fiber Tractography Using Classifier Voting. In: Navab N, Hornegger J, Wells WM, Frangi AF, editors. Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2015 [Internet]. Springer International Publishing; 2015 [cited 2016 May 12]. p. 45–52. (Lecture Notes in Computer Science). Available from: http://link.springer.com/chapter/10.1007/978-3-319-24553-9_6
14.
Kohl SAA, Romera-Paredes B, Maier-Hein KH, Rezende DJ, Eslami SMA, Kohli P, Zisserman A, Ronneberger O. A Hierarchical Probabilistic U-Net for Modeling Multi-Scale Ambiguities. Medical Imaging Meets Neurips [Internet]. 2019;6. Available from: https://profs.etsmtl.ca/hlombaert/public/medneurips2019/65_CameraReadySubmission_Med_NeurIPS_Workshop.pdf
15.
Isensee F, Kickingereder P, Wick W, Bendszus M, Maier-Hein K. No New-Net. BrainLes@MICCAI. 2018;
16.
Isensee F, Jaeger PF, Full PM, Wolf I, Engelhardt S, Maier-Hein KH. Automatic Cardiac Disease Assessment on cine-MRI via Time-Series Segmentation and Domain Specific Features. In: Pop M, Sermesant M, Jodoin P-M, Lalande A, Zhuang X, Yang G, Young A, Bernard O, editors. Statistical Atlases and Computational Models of the Heart ACDC and MMWHS Challenges. Cham: Springer International Publishing; 2018. p. 120–9. (Lecture Notes in Computer Science).
17.
Isensee F, Kickingereder P, Wick W, Bendszus M, Maier-Hein K. Brain Tumor Segmentation and Radiomics Survival Prediction: Contribution to the BRATS 2017 Challenge. BrainLes@MICCAI. 2017;
18.
Jaeger PF, Kohl SAA, Bickelhaupt S, Isensee F, Kuder TA, Schlemmer H-P, Maier-Hein K. Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection. ML4H at NeurIPS 2019 [Internet]. 2019; Available from: https://ml4health.github.io/2019/pdf/232_ml4h_preprint.pdf
19.
Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein. Reg R-CNN: Lesion Detection and Grading Under Noisy Labels. In: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures. Springer; 2019. p. 33–41.
20.
Giannakis A, Norajitra T, Kehler L, Julien D, Weinheimer O, Van Lunteren C, Kreuter M, Maier-Hein K, Heußel C-P. Fully Automated Segmentation of Pulmonary Fibrosis using Different Software Tools. In European Society of Radiology; 2018. p. 368.
21.
Kreuter M, Kehler L, Norajitra T, Giannakis A, Wiesenfarth M, Rubtsov R, Bauer C, Maier-Hein K, Heußel C-P. Correlation of Functional Assessment and CT Scores in Acute Exacerbations in Patients with Idiopathic Pulmonary Fibrosis Using the Automated LUng FIbrosis Quantification Tool (LUFIT). In: ILD Scientific Abstracts: Treatment Acute Exacerbation. American Thoracic Society; 2018. p. A1659.
22.
Rengier F, Naas O, Norajitra T, Messerli M, Kallenbach K, Maier-Hein K, Kauczor H-U. Quantitative MRI-based Three-Dimensional Volumetry of Dural Sac and Vertebral Bodies Improves Diagnosis of Dural Ectasia in Marfan Syndrome. In European Society of Radiology; 2017. p. 429.
23.
Zimmerer D, Petersen J, Kohl SA, Maier-Hein KH. A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. In 2018.
24.
Stein T, Metzger J, Scherer J, Isensee F, Norajitra T, Kleesiek J, Maier-Hein K, Nolden M. Efficient Web-Based Review for Automatic Segmentation of Volumetric DICOM Images. In: Handels H, Deserno TM, Maier A, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2019. Springer Fachmedien Wiesbaden; 2019. p. 158–63. (Informatik aktuell).
25.
Kamphenkel J, Jäger PF, Bickelhaupt S, Laun FB, Lederer W, Daniel H, Kuder TA, Delorme S, Schlemmer H-P, König F, Maier-Hein KH. Domain Adaptation for Deviating Acquisition Protocols in CNN-Based Lesion Classification on Diffusion-Weighted MR Images. In: Stoyanov D, Taylor Z, Kainz B, Maicas G, Beichel RR, Martel A, Maier-Hein L, Bhatia K, Vercauteren T, Oktay O, Carneiro G, Bradley AP, Nascimento J, Min H, Brown MS, Jacobs C, Lassen-Schmidt B, Mori K, Petersen J, San José Estépar R, Schmidt-Richberg A, Veiga C, editors. Image Analysis for Moving Organ, Breast, and Thoracic Images. Springer International Publishing; 2018. p. 73–80. (Lecture Notes in Computer Science).
26.
Neher PF, Stieltjes B, Maier-Hein KH. Anchor-Constrained Plausibility (ACP): A Novel Concept for Assessing Tractography and Reducing False-Positives. In: Frangi AF, Schnabel JA, Davatzikos C, Alberola-López C, Fichtinger G, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing; 2018. p. 20–7. (Lecture Notes in Computer Science).
27.
Wasserthal J, Neher PF, Maier-Hein KH. Tract Orientation Mapping for Bundle-Specific Tractography. In: Frangi AF, Schnabel JA, Davatzikos C, Alberola-López C, Fichtinger G, editors. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018. Springer International Publishing; 2018. p. 36–44. (Lecture Notes in Computer Science).
28.
Petersen J, Heiland S, Bendszus M, Debus J, Maier-Hein* KH. Quantification of Guidance Strategies in Online Interactive Semantic Segmentation of Glioblastoma MRI. In: Bildverarbeitung für die Medizin 2017. 2017. (Informatik aktuell).
29.
Kohl S, Bonekamp D, Schlemmer H-P, Yaqubi K, Hohenfellner M, Hadaschik B, Radtke J-P, Maier-Hein KH. Adversarial Networks for Prostate Cancer Detection. In: NIPS Machine Learning for Health Workshop. 2017.
30.
Neher PF, Stieltjes B, Reisert M, Meinzer H-P, Maier-Hein* KH. DTI Tractography Challenge 2012 - MITK Global Tractography. In: In Proceedings of 2012 MICCAI Tractography Challenge. 2012.
31.
Götz M, Weber, Christian, Binczyck F, Polanska J, Tarnawski R, Bobek-Billewicz B, Meinzer H-P, Stieltjes B, Maier-Hein, Klaus H. Lerntransfer von spärlich annotierten Daten zur multispektralen Gewebecharakterisierung. In: Bildverarbeitung für die Medizin 2015. Springer Berlin Heidelberg; 2015. (Informatik aktuell).
32.
Bach M, Stieltjes B, Maier-Hein* KH, Semmler W, Laun FB. A diffusion tensor resolution phantom. In: In Proceedings of Annual Meeting ISMRM. Montreal, Canada; 2011.
33.
Neher PF, Laun FB, Stieltjes B, Maier-Hein KH. Fiberfox: an extensible system for generating realistic white matter software phantoms. In: Computational Diffusion MRI and Brain Connectivity. Springer; 2014. p. 105–113.
34.
Kickingereder P, Götz M, Muschelli J, Wick A, Neuberger U, Shinohara R, Radbruch A, Schlemmer H-P, Wick W, Bendszus M, Maier-Hein K, Bonekamp D. Large-scale radiomic profiling of glioblastoma identifies an imaging signature for predicting and stratifying antiangiogenic treatment response. In: In Proceedings of Annual Meeting ISMRM. Singapore; 2016.
35.
Neher PF, Stieltjes B, Reisert M, Reicht I, Meinzer H-P, Maier-Hein* KH. MITK global tractography. In: SPIE medical imaging. International Society for Optics and Photonics; 2012. p. 83144D–83144D.
36.
van Bruggen T, Zhang H, Pasternak O, Meinzer H-P, Stieltjes B, Maier-Hein* KH. Free-water elimination for assessing microstructural gray matter pathology-with application to Alzheimer’s Disease. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
37.
Norajitra T, Meinzer H-P, Maier-Hein KH. 3D Statistical Shape Models incorporating 3D Random Forest Regression Voting for Robust CT Liver Segmentation. In: SPIE Medical Imaging. Orlando, USA: International Society for Optics and Photonics; 2015.
38.
Norajitra T, Meinzer H-P, Maier-Hein KH. 3D Regression Voting on CT-Volumes of the Human Liver for SSM Surface Appearance Modeling. In: Shape 2014 - Symposium on Statistical Shape Models and Applications. Delémont, Switzerland; 2014.
39.
Tobisch A, Neher PF, Rowe MC, Maier-Hein KH, Zhang H. Model-Based Super-Resolution of Diffusion MRI. In: Computational Diffusion MRI and Brain Connectivity. Springer; 2014. p. 25–34.
40.
Gemmeke P, Maleshkova M, Philipp P, Götz M, Weber C, Kämpgen B, Nolden M, Maier-Hein K, Rettinger A. Using Linked Data and Web APIs for Automating the Pre-processing of Medical Images. In: Fifth International Workshop on Consuming Linked Data (COLD2014). Riva del Garda, Italy; 2014.
41.
Daenzer S, Maier-Hein* K. A simulator for surgery training: optimal sensory stimuli in a bone pinning simulation. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2008. p. 69181O–69181O.
42.
Moussavi-Biugui A, Stieltjes B, Maier-Hein* KH, Laun FB. Novel spherical phantoms for Q-ball imaging under in-vivo conditions. In: In Proceedings of Annual Meeting ISMRM. Stockholm, Sweden; 2010.
43.
Descoteaux, M., Sidhu J, Garyfallidis, E., Houde, J. C., Neher, P. F., Stieltjes, B., Maier-Hein, K. H. False positive bundles in tractography. In: In Proceedings of Annual Meeting ISMRM. Singapore; 2016.
44.
Götz M, Weber C, Maier-Hein K. Similarity based fusion of multiple Regions of Interests for MR sequence evaluation. In: In Proceedings of Annual Meeting ISMRM. Singapore; 2016.
45.
Neher PF, Stieltjes B, Wolf I, Meinzer H-P, Maier-Hein KH. Analysis of tractography biases introduced by anisotropic voxels. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
46.
Hirjak D, Stieltjes B, Maier-Hein* K, Wüstenberg T, Seidl U, Essig M, Schröder J, Thomann P. FC07-03-Neurological soft signs and morphological changes of basal ganglia and thalamus in patients with first-episode psychosis. In: European Psychiatry. 2011. p. 1848.
47.
Maier-Hein* KH, Brunner R, Henze R, Meinzer H-P, Stieltjes B. Exploration of microstructural abnormalities in borderline personality disorder. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2012. p. 831709–831709.
48.
Maier-Hein* KH, Stieltjes B, Laun FB, Meinzer H-P. On the behavior of DTI and Q-ball derived anisotropy indices. In: In Proceedings of Annual Meeting ISMRM. Stockholm, Sweden; 2010.
49.
Götz M, Weber C, Blöcher J, Stieltjes B, Meinzer H-P, Maier-Hein KH. Extremely randomized trees based brain tumor segmentation. In: In Proceedings of MICCAI 2014 Brain Tumor Segmentation Challenge. Boston, USA; 2014.
50.
Hering J, Neher PF, Stieltjes B, Maier-Hein KH. DTI Tractography Challenge 2014 - MITK Global Tractography. In: In Proceedings of 2014 MICCAI Tractography Challenge. Boston, USA; 2014.
51.
Neher PF, Stieltjes B, Wolf I, Meinzer H-P, Maier-Hein KH. Assessment of local fiber plausibility using a HARDI based reference. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
52.
Van Bruggen T, Stieltjes B, Meinzer H-P, Maier-Hein* KH. A retrospective study of white matter integrity in mild cognitive impairment. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2011. p. 796515–796515.
53.
Norajitra T, Meinzer H-P, Stieltjes B, Maier-Hein KH. Active shape models incorporating isolated landmarks for medical image annotation. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2014. p. 90353J–90353J.
54.
Maier-Hein* KH, Stieltjes B, Laun FB, Meinzer H-P. Towards reliable quantification of fiber integrity in Q-ball imaging. In: In Proceedings MICCAI Workshop DMFC. 2009.
55.
Neher PF, Stieltjes B, Laun FB, Meinzer H-P, Maier-Hein* KH. Fiberfox: A novel tool to generate software phantoms of complex fiber geometries. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
56.
Maier-Hein* KH, Westin C-F, Meinzer H-P, Stieltjes B, Pasternak O. Free-water correction reveals wide spread differences between stable and converting MCI subjects. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
57.
Maier-Hein* KH, Goch CJ, Meinzer H-P, Stieltjes B. Betweenness Centrality – Integrating Network Architecture Beyond the Immediate Neighborhood. In: ISMRM Scientific Workshop - Diffusion as a Probe of Neural Tissue Microstructure. Podstrana, Croatia; 2013.
58.
Neher PF, Stieltjes B, Reisert M, Meinzer H-P, Maier-Hein KH. DTI Tractography Challenge 2013 - MITK Global Tractography. In: In Proceedings of 2013 MICCAI Tractography Challenge. Nagoya, Japan; 2013.
59.
Neher PF, Stieltjes B, Reisert M, Meinzer H-P, Maier-Hein* KH. MITK global tractography - application to the Corticospinal Tract. In: In Proceedings of 2011 MICCAI Tractography Challenge. 2011.
60.
Bach M, Maier-Hein* KH, Minjoli S, Stieltjes B, Laun FB. A High Resolution Tractography Phantom. In: In Proceedings of Annual Meeting ISMRM. Melbourne, Australia; 2012.
61.
Maier-Hein* KH, Schlindwein S, Stieltjes B, Essig M, Meinzer H-P. Vorhersage des Krankheitsverlaufes von leichten kognitiven Beeinträchtigungen durch automatisierte MRT Morphometrie. In: Bildverarbeitung für die Medizin 2009. Springer Berlin Heidelberg; 2009. p. 217–221.
62.
Maier-Hein* KH, Meinzer H-P. MITK-DI - A new diffusion imaging component for MITK. In: Bildverarbeitung für die Medizin 2010. Springer Berlin Heidelberg; 2010. p. 246–50.
63.
Kolb C, Dinkel, Julien, Bauman G, Wetscherek A, Biederer J, Maier-Hein KH. Regional quantitative analysis of ventilation and elasticity in the lung parenchyma using  temporally resolved MRI images. In: Annual Scientific Meeting of the European Society of Thoracic Imaging. Amsterdam, The Netherlands; 2014.
64.
Maier-Hein* KH, Nolden M, Meinzer H-P, Stieltjes B. Diffusion imaging in the Medical Imaging Interaction Toolkit (MITK). In: In Proceedings of Annual Meeting ISMRM. Montreal, Canada; 2011.
65.
Baumhauer M, Neuhaus J, Maier-Hein* K, Meinzer H-P. The MITK image guided therapy toolkit and its application for augmented reality in laparoscopic prostate surgery. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2010. p. 76251G–76251G.
66.
Maier-Hein* KH, Giesel FL, Heimann T, Thomann PA, Hahn HK, Pantel J, Schröder J, Essig M, Meinzer H-P. Neurodegenerative changes in Alzheimer’s disease: a comparative study of manual, semi-automated, and fully automated assessment using MRI. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2008. p. 69151V–69151V.
67.
Cisternas J, Daza P, Asahi T, Dyrby T, Maier-Hein* KH. Regularized Q-ball reconstruction: Robust estimation, model selection, and spatial denoising. In: In Proceedings of Annual Meeting ISMRM. Honolulu, USA; 2009.
68.
Hering J, Neher PF, Meinzer H-P, Maier-Hein KH. Construction of ground-truth data for head motion correction in diffusion MRI. In: In Proceedings of Annual Meeting ISMRM. Milano; 2014.
69.
Maier-Hein* KH, Laun FB, Stieltjes B, Meinzer H-P. Directional assessment of fiber integrity in Q-ball imaging. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2010. p. 76231G–76231G.
70.
Bach M, Stieltjes B, Laun FB, Leemans A, Maier-Hein* KH. Voxel Misassignments and Their Consequences in DTI Skeleton-Based Group Analyses. In: In Proceedings of Annual Meeting ISMRM. Salt Lake City; 2013.
71.
Maier-Hein KH, Schlindwein S, Stieltjes B, Essig M, Meinzer H-P. Vorhersage des Krankheitsverlaufes bei leichter kognitiver Beeinträchtigung durch automatisierte MRT Morphometrie. In: Bildverarbeitung für die Medizin 2009. Springer Berlin Heidelberg; 2009. p. 217–21.
72.
Weber C, Götz M, Binczyck F, Polanska J, Tarnawski R, Bobek-Billewicz B, Meinzer H-P, Stieltjes B, Maier-Hein KH. Überwachtes Lernen zur Prädiktion von Tumorwachstum. In: Bildverarbeitung für die Medizin 2015. Springer Berlin Heidelberg; 2015. (Informatik aktuell).
73.
Philipp P, Gemmeke P, Maleshkova M, Götz M, Weber C, Kämpgen B, Nolden M, Maier-Hein KH, Zelzer S, Klauss M, Rettinger A. Automatisierung von Vorverabeitungsschritten für medizinische Bilddaten mit semantischen Technologien. In: Bildverarbeitung für die Medizin 2015. Springer Berlin Heidelberg; 2015. (Informatik aktuell).
74.
Petersen J, Bendszus M, Debus J, Heiland S, Maier-Hein (ne Fritzsche) KH. Effective User Guidance in an Online Interactive Semantic Segmentation. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2017.
75.
Petersen J, Bendszus M, Debus J, Heiland S, Maier-Hein (ne Fritzsche) KH. A Software Application for Interactive Medical Image Segmentation with Active User Guidance. In: Proceedings of the MICCAI 2016 Interactive Medical Image Computing Workshop. Athens, Greece: Springer; 2016.
76.
Zimmerer D, Isensee F, Petersen J, Kohl S, Maier-Hein K. Unsupervised Anomaly Localization using Variational Auto-Encoders. MICCAI 2019. 2019;((accepted)).
77.
Neher PF, Stieltjes B, Maier-Hein KH. Abstract: Anchor-Constrained Plausibility. In: Handels H, Deserno TM, Maier A, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2019. Springer Fachmedien Wiesbaden; 2019. p. 1–1. (Informatik aktuell).
78.
Jäger P, Isensee F, Petersen J, Zimmerer D, Wasserthal J, Maier-Hein KH. Advanced Deep Learning Methods. In: Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg; 2018. p. 6–6. (Informatik aktuell).
79.
Petersen J, Heiland S, Bendszus M, Debus J, Nolden M, Goch CJ, Maier-Hein KH. Abstract: Leveraging Open Source Software to Close Translational Gaps in Medical Image Computing. In: Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg; 2018. p. 22–22. (Informatik aktuell).
80.
Waibel D, Gröhl J, Isensee F, Maier-Hein KH, Maier-Hein L. Abstract: Rekonstruktion der initialen Druckverteilung photoakustischer Bilder mit limitiertem Blickwinkel durch maschinelle Lernverfahren. In: Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg; 2018. p. 201–201. (Informatik aktuell).
81.
Goch CJ, Metzger J, Hettich M, Klein A, Norajitra T, Götz M, Petersen J, Maier-Hein KH, Nolden M. Automated Containerized Medical Image Processing Based on MITK and Python. In: Maier A, Deserno TM, Handels H, Maier-Hein KH, Palm C, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2018. Springer Berlin Heidelberg; 2018. p. 315–315. (Informatik aktuell).
82.
Norajitra T, Engelhardt S, Held T, Al-Maisary S, Simone R de, Meinzer H-P, Maier-Hein K. Statistische 3D-Formmodelle mit verteilter Erscheinungsmodellierung. In: Tolxdorff T, Deserno TM, Handels H, Meinzer H-P, editors. Bildverarbeitung für die Medizin 2016 [Internet]. Springer Berlin Heidelberg; 2016 [cited 2016 Mar 23]. p. 56–61. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-662-49465-3_12
83.
Götz M, Kolb C, Weber C, Regnery S, Maier-Hein KH. Fallspezifisches Lernen zur automatischen Läsionssegmentierung in multimodalen MR-Bildern. In: Tolxdorff T, Deserno TM, Handels H, Meinzer H-P, editors. Bildverarbeitung für die Medizin 2016 [Internet]. Springer Berlin Heidelberg; 2016 [cited 2016 Mar 23]. p. 62–7. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-662-49465-3_13
84.
Neher PF, Stieltjes B, Reisert M, Reicht I, Meinzer H-P, Maier-Hein* KH. Integration eines globalen Traktographieverfahrens in das Medical Imaging Interaction Toolkit. In: Bildverarbeitung für die Medizin 2012. Springer Berlin Heidelberg; 2012. p. 177–182.
85.
Van Bruggen T, Stieltjes B, Meinzer H-P, Maier-Hein* KH. Tract-Based Spatial Statistics of the Corpus Callosum using Different Tensor-Derived Indices. In: Bildverarbeitung für die Medizin 2011. Springer Berlin Heidelberg; 2011. p. 244–248.
86.
Maier-Hein* K, von Wangenheim A, Dillmann R, Unterhinninghofen R. Automated MRI-Based Quantification of the Cerebral Atrophy Providing Diagnostic Information on Mild Cognitive Impairment and Alzheimer&# 146; s Disease. In: Computer-Based Medical Systems, 2006 CBMS 2006 19th IEEE International Symposium on. IEEE; 2006. p. 191–196.
87.
Cordes J, Neher PF, Meinzer H-P, Stieltjes B, Maier-Hein KH. What do we gain from multiple q-shell acquistions in high angular resolution diffusion imaging? In: In Proceedings of Annual Meeting ISMRM. Milano; 2014.
88.
Maier-Hein* KH, Stieltjes B, Van Bruggen T, Meinzer H-P, Westin C-F, Pasternak O. A combined approach for the elimination of partial volume effects in diffusion MRI. In: In Proceedings of Annual Meeting ISMRM. Melbourne, Australia; 2012.
89.
Freitag M, Weber C, Maier-Hein K, Tarnawski R, Bobek-Billewicz B, Binczyck F, Polanska J, Stieltjes B. Multiparametrical diffusion weighted imaging for the detection of anaplastic transformation of low-grade gliomas. In: Cancer Imaging. 2014. p. S11.
90.
Goch CJ, Stieltjes B, Henze R, Hering J, Meinzer H-P, Maier-Hein* KH. Reduced centrality of Wernicke’s area in autism. In: SPIE Medical Imaging. USA: International Society for Optics and Photonics; 2013. p. 867223–867223.
91.
Freitag, Martin, Weber, Christian, Maier-Hein, Klaus H., Tarnawski, R., Bobek-Billewicz, B., Binczyck, F., Polanska, J., Stieltjes, Bram. Multiparametrical diffusion weighted imaging for the detection of anaplastic transformation of low-grade gliomas. In: In Proceedings of European Congress Radiology [Internet]. 2014 [cited 2014 Oct 30]. p. C–2130. Available from: http://dx.doi.org/10.1594/ecr2014/C-2130
92.
Hering J, Wolf I, Meinzer H-P, Maier-Hein KH. Model-based motion correction of reduced field of view diffusion MRI data. In: SPIE Medical Imaging. International Society for Optics and Photonics; 2014. p. 90381L–90381L.
93.
Goch CJ, Oztan B, Stieltjes B, Henze R, Hering J, Poustka L, Meinzer H-P, Yener B, Maier-Hein KH. Global Changes in the Connectome in Autism Spectrum Disorders. In: Computational Diffusion MRI and Brain Connectivity. Springer; 2014. p. 239–247.
94.
Götz, Michael, Weber, Christian, Stieltjes, Bram, Maier-Hein KH. Learning from Small Amounts of Labeled Data in a Brain Tumor Classification Task. In: Second Workshop on Transfer and Multi-Task Learning: Theory meets Practice. Montreal, Canada; 2014. (Neural Information Processing Systems (NIPS)).
95.
Hering J, Wolf I, Meinzer H-P, Stieltjes B, Maier-Hein KH. A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imaging. In: Computational Diffusion MRI and Brain Connectivity. Springer; 2014. p. 35–44.
96.
Weber C, Stieltjes B, Polanska J, Binczyck F, Tarnawski R, Bobek-Billewicz B, Rodi T, Regnery S, Maier-Hein KH. Tumor Progression Mapping: An Intuitive Visualization of Glioblastoma Progression in MR Follow-ups. In: In Proceedings of Annual Meeting ISMRM. Milano; 2014.
97.
Weber, Christian, M. Götz, B. Stieltjes, J. Polanska, F. Binczyk, R. Tarnawski, Bobek-Billewicz, B., Maier-Hein, Klaus H. Brain Tumor Progression Modeling - A Data Driven Approach. In: In Proceedings MICCAI Workshop on Image-Guided Adaptive Radiation Therapy. 2014.
98.
Neher PF, Götz, Michael, Norajitra T, Weber, Christian, Maier-Hein* KH. A machine learning based approach to fiber tractography. In: In Proceedings of Annual Meeting ISMRM. Toronto; 2015.
99.
Goetz M, Heim E, Maerz K, Norajitra T, Hafezi M, Fard N, Mehrabi A, Knoll M, Weber C, Maier-Hein L, Maier-Hein KH. A learning-based, fully automatic liver tumor segmentation pipeline based on sparsely annotated training data. In: SPIE Medical Imaging. 2016.
100.
Goetz M, Skornitzke S, Weber C, Fritz F, Mayer P, Koell M, Stiller W, Maier-Hein KH. Machine-Learning based Comparison of CT-Perfusion maps and Dual Energy CT for Pancreatic Tumor Detection. In: SPIE Medical Imaging. 2016. (International Society for Optics and Photonics).
101.
Fetzer A, Metzger J, Katic D, März K, Wagner M, Philipp P, Engelhardt S, Weller T, Zelzer S, Franz AM, others. Towards an open-source semantic data infrastructure for integrating clinical and scientific data in cognition-guided surgery. In: SPIE Medical Imaging. 2016. p. 97890O–97890O.
102.
Hering J, Wolf I, Alsady TM, Meinzer H-P, Maier-Hein K. A Memetic Search Scheme for Robust Registration of Diffusion-Weighted MR Images. In: Handels H, Deserno TM, Meinzer H-P, Tolxdorff T, editors. Bildverarbeitung für die Medizin 2015 [Internet]. Springer Berlin Heidelberg; 2015 [cited 2015 May 19]. p. 113–8. (Informatik aktuell). Available from: http://link.springer.com/chapter/10.1007/978-3-662-46224-9_21