1.
Isensee F, Maier-Hein K. OR-UNet: an Optimized Robust Residual U-Net for Instrument Segmentation in Endoscopic Images. ArXiv. 2020;
2.
Isensee F, Maier-Hein K. An attempt at beating the 3D U-Net. ArXiv. 2019;
3.
Isensee F, Kickingereder P, Wick W, Bendszus M, Maier-Hein K. No New-Net. BrainLes@MICCAI. 2018;
4.
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).
5.
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;
6.
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
7.
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 Dec 14;6. Available from: https://profs.etsmtl.ca/hlombaert/public/medneurips2019/65_CameraReadySubmission_Med_NeurIPS_Workshop.pdf
8.
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.
9.
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.
10.
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.
11.
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.
12.
Zimmerer D, Petersen J, Kohl SA, Maier-Hein KH. A Case for the Score: Identifying Image Anomalies using Variational Autoencoder Gradients. In 2018.
13.
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
14.
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).
15.
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).
16.
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).
17.
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.
18.
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.
19.
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.
20.
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.
21.
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.
22.
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.
23.
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.
24.
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.
25.
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.
26.
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.
27.
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.
28.
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.
29.
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.
30.
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.
31.
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.
32.
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.
33.
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.
34.
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.
35.
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.
36.
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.
37.
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.
38.
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.
39.
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.
40.
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.
41.
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.
42.
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.
43.
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.
44.
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.
45.
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.
46.
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.
47.
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.
48.
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.
49.
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.
50.
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.
51.
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.
52.
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.
53.
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.
54.
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.
55.
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.
56.
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.
57.
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.
58.
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. MICCAI 2019. 2019;(accepted).
59.
Zimmerer D, Isensee F, Petersen J, Kohl S, Maier-Hein K. Unsupervised Anomaly Localization using Variational Auto-Encoders. MICCAI 2019. 2019;((accepted)).
60.
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 Jun 13 [cited 2018 Sep 20]; Available from: http://arxiv.org/abs/1806.05034
61.
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
62.
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.
63.
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.
64.
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.
65.
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.
66.
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.
67.
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
68.
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.
69.
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.
70.
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)).
71.
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.
72.
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.
73.
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.
74.
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.
75.
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
76.
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.
77.
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).
78.
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).
79.
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
80.
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
81.
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
82.
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.