Yixing Huang

2022

Journal Articles

• Dutta B., Root K., Ullmann I., Wagner F., Mayr M., Seuret M., Thies M., Stromer D., Christlein V., Schür J., Maier A., Huang Y.:
  Deep learning for terahertz image denoising in nondestructive historical document analysis
  In: Scientific Reports 12 (2022), p. 1-11
  ISSN: 2045-2322
  DOI: 10.1038/s41598-022-26957-7
  URL: https://www.nature.com/articles/s41598-022-26957-7
  BibTeX: Download
• Wagner F., Thies M., Denzinger F., Gu M., Patwari M., Ploner S., Maul N., Pfaff L., Huang Y., Maier A.:
  Trainable joint bilateral filters for enhanced prediction stability in low-dose CT
  In: Scientific Reports 12 (2022), Article No.: 17540
  ISSN: 2045-2322
  DOI: 10.1038/s41598-022-22530-4
  BibTeX: Download
• Huang Y., Bert C., Sommer P., Frey B., Gaipl U., Distel L., Weissmann T., Uder M., Schmidt M., Dörfler A., Maier A., Fietkau R., Putz F.:
  Deep learning for brain metastasis detection and segmentation in longitudinal MRI data
  In: Medical Physics (2022), Article No.: 15863
  ISSN: 0094-2405
  DOI: 10.1002/mp.15863
  URL: https://aapm.onlinelibrary.wiley.com/doi/10.1002/mp.15863
  BibTeX: Download
• Thies M., Wagner F., Huang Y., Gu M., Kling L., Pechmann S., Aust O., Grüneboom A., Schett G., Christiansen SH., Maier A.:
  Calibration by differentiation – Self-supervised calibration for X-ray microscopy using a differentiable cone-beam reconstruction operator
  In: Journal of Microscopy (2022)
  ISSN: 0022-2720
  DOI: 10.1111/jmi.13125
  BibTeX: Download
• Wagner F., Thies M., Gu M., Huang Y., Pechmann S., Patwari M., Ploner S., Aust O., Uderhardt S., Schett G., Christiansen SH., Maier A.:
  Ultra low‐parameter denoising: Trainable bilateral filter layers in computed tomography
  In: Medical Physics (2022)
  ISSN: 0094-2405
  DOI: 10.1002/mp.15718
  BibTeX: Download
• Maksoud Z., Schmidt M., Huang Y., Rutzner S., Mansoorian S., Weissmann T., Bert C., Distel L., Semrau S., Lettmaier S., Eyüpoglu IY., Fietkau R., Putz F.:
  Transient Enlargement in Meningiomas Treated with Stereotactic Radiotherapy
  In: Cancers 14 (2022), p. 1-13
  ISSN: 2072-6694
  DOI: 10.3390/cancers14061547
  URL: https://www.mdpi.com/2072-6694/14/6/1547
  BibTeX: Download
• Fan F., Kreher BW., Keil H., Maier A., Huang Y.:
  Fiducial marker recovery and detection from severely truncated data in navigation assisted spine surgery
  In: Medical Physics (2022)
  ISSN: 0094-2405
  DOI: 10.1002/mp.15617
  BibTeX: Download
• Singh Khural B., Baer-Beck M., Fournie E., Stierstorfer K., Huang Y., Maier A.:
  Deep Learning-based Extended Field of View Computed Tomography Image Reconstruction: Influence of Network Design on Image Estimation Outside the Scan Field of View
  In: Biomedical Physics and Engineering Express (2022)
  ISSN: 2057-1976
  DOI: 10.1088/2057-1976/ac47fc
  URL: https://iopscience.iop.org/article/10.1088/2057-1976/ac47fc
  BibTeX: Download

Conference Contributions

• Putz F., Görnert C., Voigt R., Grigo J., Masitho S., Reissig L., Huang Y., Weissmann T., Mansoorian S., Schmidt M., Semrau S., Bert C., Fietkau R.:
  Quantification of pretherapeutic Changes in Brain Metastases before stereotactic Radiotherapy
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Putz F., Siavooshhaghighi H., Grigo J., Masitho S., Huang Y., Weissmann T., Mansoorian S., Schmidt M., Semrau S., Bert C., Fietkau R.:
  Influence of MRI Distortion Correction on the local Control of stereotactically irradiated Brain Metastases
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Dörfler A., Huang Y., Bert C., Sommer P., Frey B., Gaipl U., Distel L., Weissmann T., Uder M., Schmidt M., Maier A., Fietkau R., Putz F.:
  Improvement of Deep Learning-based Auto-detection of Brain Metastases by Integrating previous MRI Images
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Sommer P., Huang Y., Fischer S., Srinivasan AL., Dörfler A., Schmidt M., Frey B., Maier A., Fietkau R., Bert C., Putz F.:
  Identification of High-risk Metastases in MRI Follow-up after Stereotaxic by using Radiomics and Delta Radiomics
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Weissmann T., Huang Y., Speer S., Semrau S., Bert C., Fietkau R., Putz F.:
  Analysis of Head and Neck Lymph Node Metastasis Distribution by using Deep Learning automated Lymph Node Level Contouring
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Putz F., Huang Y., Weissmann T., Mansoorian S., Lamrani A., Sommer P., Fischer S., Srinivasan A., Frey B., Gaipl U., Ott O., Fietkau R., Bert C.:
  Assessing Organ-at-risk Auto-contouring Solutions: Which Metrics are most predictive of clinical Time Savings?
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Huang Y., Maier A., Sommer P., Fischer S., Srinivasan AL., Fietkau R., Bert C., Putz F.:
  Deep Learning based Prediction of Glioma Growth by using "Growing Neural Cellular Automata"
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Putz F., Huang Y., Weissmann T., Mansoorian S., Sommer P., Fischer S., Srinivasan A., Frey B., Gaipl U., Schmidt M., Semrau S., Bert C., Fietkau R.:
  Deep Learning based fully automated volumetric Progression Assessment in Patients with Brain Metastases after stereotactic Radiotherapy
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Putz F., Chen Hf., Huang Y., Weissmann T., Mansoorian S., Schmidt M., Semrau S., Lettmaier S., Bert C., Fietkau R.:
  Deep Learning-based automatic longitudinal volumetric Analysis in Acoustic Neuroma
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Weissmann T., Huang Y., Sommer P., Roesch J., Mansoorian S., Ayala H., Fischer S., Srinivasan AL., Haderlein M., Hecht M., Speer S., Schweizer C., Frey B., Gaipl U., Distel L., Ott O., Semrau S., Fietkau R., Bert C., Putz F.:
  Deep Learning-based Auto-contouring of Lymph Node Levels in Head and Neck Area
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Sommer P., Huang Y., Srinivasan AL., Fischer S., Dörfler A., Schmidt M., Frey B., Maier A., Fietkau R., Bert C., Putz F.:
  Distinguishing Progression and Radionecrosis in large progressive Brain Metastases after Stereotaxy by integrating Radiomics, Dose Radiomics and clinical Risk Factors
  In: STRAHLENTHERAPIE UND ONKOLOGIE, HEIDELBERG: 2022
  BibTeX: Download
• Huang Y., Maier A., Sommer P., Fischer S., Srinivasan AL., Fietkau R., Bert C., Putz F.:
  Deep Learning basierte Vorhersage von Gliomwachstum mittels Growing Neural Cellular Automata
  DEGRO 2022 (Stuttgart, May 26, 2022 - May 28, 2022)
  In: Strahlentherapie und Onkologie 2022
  DOI: 10.1007/s00066-022-01932-3
  URL: https://link.springer.com/article/10.1007/s00066-022-01932-3
  BibTeX: Download
• Huang Y., Bert C., Sommer P., Frey B., Gaipl U., Distel L., Weissmann T., Uder M., Schmidt M., Dörfler A., Maier A., Fietkau R., Putz F.:
  Verbesserung der Deep Learning basierten Autodetektion von Hirnmetastasen durch Integration von MRT-Voraufnahmen
  DEGRO 2022 (Stuttgart, May 26, 2022 - May 28, 2022)
  In: Strahlentherapie und Onkologie 2022
  DOI: 10.1007/s00066-022-01932-3
  URL: https://link.springer.com/article/10.1007/s00066-022-01932-3
  BibTeX: Download
• Wagner F., Thies M., Karolczak M., Pechmann S., Huang Y., Gu M., Kling L., Weidner D., Aust O., Schett G., Christiansen S., Maier A.:
  Monte Carlo Dose Simulation for In-Vivo X-Ray Nanoscopy
  German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
  In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
  DOI: 10.1007/978-3-658-36932-3_22
  BibTeX: Download
• Rao D., Maass N., Dennerlein F., Maier A., Huang Y.:
  Machine Learning-based Detection of Spherical Markers in CT Volumes
  German Workshop on Medical Image Computing, 2022 (Heidelberg, DEU, June 26, 2022 - June 28, 2022)
  In: Klaus Maier-Hein, Thomas M. Deserno, Heinz Handels, Andreas Maier, Christoph Palm, Thomas Tolxdorff (ed.): Informatik aktuell 2022
  DOI: 10.1007/978-3-658-36932-3_11
  BibTeX: Download

2021

Journal Articles

• Huang Y., Preuhs A., Manhart M., Lauritsch G., Maier A.:
  Data Extrapolation from Learned Prior Images for Truncation Correction in Computed Tomography
  In: IEEE Transactions on Medical Imaging (2021), Article No.: 9400411
  ISSN: 0278-0062
  DOI: 10.1109/TMI.2021.3072568
  URL: https://ieeexplore.ieee.org/document/9400411
  BibTeX: Download
• Mill L., Wolff D., Gerrits N., Philipp P., Kling L., Vollnhals F., Ignatenko A., Jaremenko C., Huang Y., De Castro O., Audinot JN., Nelissen I., Wirtz T., Maier A., Christiansen S.:
  Synthetic Image Rendering Solves Annotation Problem in Deep Learning Nanoparticle Segmentation
  In: Small Methods (2021)
  ISSN: 2366-9608
  DOI: 10.1002/smtd.202100223
  URL: https://onlinelibrary.wiley.com/doi/full/10.1002/smtd.202100223
  BibTeX: Download
• Huang Y., Fan F., Syben C., Roser P., Mill L., Maier A.:
  Cephalogram Synthesis and Landmark Detection in Dental Cone-Beam CT Systems
  In: Medical Image Analysis 70 (2021), Article No.: ARTN 102028
  ISSN: 1361-8415
  DOI: 10.1016/j.media.2021.102028
  URL: https://www.sciencedirect.com/science/article/abs/pii/S1361841521000748
  BibTeX: Download

Conference Contributions

• Huang Y., Mill L., Stoll R., Kling L., Aust O., Wagner F., Grüneboom A., Schett G., Christiansen SH., Maier A.:
  Semi-Permeable Filters for Interior Region of Interest Dose Reduction in X-Ray Microscopy
  BVM 2021 (Regensburg, March 7, 2021 - March 9, 2021)
  In: Bildverarbeitung für die Medizin 2021
  DOI: 10.1007/978-3-658-33198-6_16
  URL: https://link.springer.com/chapter/10.1007/978-3-658-33198-6_16
  BibTeX: Download
• Xu J., Sun C., Huang Y., Huang X.:
  Residual Neural Network for Filter Kernel Design in Filtered Back-projection for CT Image Reconstruction
  German Workshop on Medical Image Computing, 2021 (Regensburg, March 7, 2021 - March 9, 2021)
  In: Christoph Palm, Heinz Handels, Klaus Maier-Hein, Thomas M. Deserno, Andreas Maier, Thomas Tolxdorff (ed.): Informatik aktuell 2021
  DOI: 10.1007/978-3-658-33198-6_39
  BibTeX: Download

2020

Journal Articles

• Preuhs A., Manhart M., Roser P., Hoppe E., Huang Y., Psychogios M., Kowarschik M., Maier A.:
  Appearance Learning for Image-based Motion Estimation in Tomography
  In: IEEE Transactions on Medical Imaging (2020)
  ISSN: 0278-0062
  DOI: 10.1109/TMI.2020.3002695
  BibTeX: Download
• Huang Y., Wang S., Guan Y., Maier A.:
  Limited Angle Tomography for Transmission X-Ray Microscopy Using Deep Learning
  In: Journal of Synchrotron Radiation (2020)
  ISSN: 0909-0495
  DOI: 10.1107/S160057752000017X
  URL: https://onlinelibrary.wiley.com/iucr/doi/10.1107/S160057752000017X
  BibTeX: Download

Conference Contributions

• Huang Y., Gao L., Preuhs A., Maier A.:
  Field of View Extension in Computed Tomography Using Deep Learning Prior
  Bildverarbeitung für die Medizin (Berlin, March 15, 2020 - March 17, 2020)
  In: Andreas Maier, Klaus Hermann Maier-Hein, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin: Algorithmen – Systeme – Anwendungen 2020
  URL: https://arxiv.org/abs/1911.01178
  BibTeX: Download
• Liu C., Huang Y., Maier J., Klein L., Kachelriess M., Maier A.:
  Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization
  2020 IEEE Nuclear Science Symposium and Medical Imaging Conference (, October 31, 2020 - November 7, 2020)
  In: Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization 2020
  BibTeX: Download

Thesis

• Huang Y.:
  Consistency Conditions, Compressed Sensing and Machine Learning for Limited Angle Tomography (Dissertation, 2020)
  URL: https://opus4.kobv.de/opus4-fau/frontdoor/index/index/docId/13203
  BibTeX: Download

2019

Journal Articles

• Huang X., Yang H., Huang Y., Shi L., He F., Maier A., Yan M.:
  Robust mixed one-bit compressive sensing
  In: Signal Processing 162 (2019), p. 161-168
  ISSN: 0165-1684
  DOI: 10.1016/j.sigpro.2019.04.011
  BibTeX: Download

Conference Contributions

• Huang Y., Preuhs A., Lauritsch G., Manhart M., Huang X., Maier A.:
  Data Consistent Artifact Reduction for Limited Angle Tomography with Deep Learning Prior
  MICCAI MLMIR (Shenzhen, China, October 17, 2019 - October 17, 2019)
  In: Knoll, Florian and Maier, Andreas and Rueckert, Daniel and Ye, Jong Chul (ed.): Machine Learning for Medical Image Reconstruction, Cham: 2019
  DOI: 10.1007/978-3-030-33843-5_10
  URL: https://link.springer.com/chapter/10.1007/978-3-030-33843-5_10
  BibTeX: Download

2018

Journal Articles

• Huang Y., Lu Y., Taubmann O., Lauritsch G., Maier A.:
  Traditional machine learning for limited angle tomography
  In: International Journal of Computer Assisted Radiology and Surgery 8/2018 (2018), p. 1-9
  ISSN: 1861-6410
  DOI: 10.1007/s11548-018-1851-2
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-TML_IJCARS.pdf
  BibTeX: Download
• Würfl T., Hoffmann M., Christlein V., Breininger K., Huang Y., Unberath M., Maier A.:
  Deep Learning Computed Tomography: Learning Projection-Domain Weights from Image Domain in Limited Angle Problems
  In: IEEE Transactions on Medical Imaging 37 (2018), p. 1454-1463
  ISSN: 0278-0062
  DOI: 10.1109/TMI.2018.2833499
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Wurfl18-DLC.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Haase V., Lauritsch G., Maier A.:
  Scale-Space Anisotropic Total Variation for Limited Angle Tomography
  In: IEEE Transactions on Radiation and Plasma Medical Sciences 2 (2018), p. 307-314
  ISSN: 2469-7311
  DOI: 10.1109/TRPMS.2018.2824400
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SAT.pdf
  BibTeX: Download

Conference Contributions

• Huang Y., Würfl T., Breininger K., Liu L., Lauritsch G., Maier A.:
  Some Investigations on Robustness of Deep Learning in Limited Angle Tomography
  21st International Conference on Medical Image Computing & Computer Assisted Intervention (Granada, Spain)
  In: Proceedings of the 21st International Conference on Medical Image Computing & Computer Assisted Intervention 2018
  DOI: 10.1007/978-3-030-00928-1_17
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-SIO.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Lauritsch G., Maier A.:
  Papoulis-Gerchberg Algorithms for Limited Angle Tomography Using Data Consistency Conditions
  the 5th International Conference on Image Formation in X-ray Computed Tomography (Salt Lake City, Utah, the USA, May 20, 2018 - May 23, 2018)
  In: Proceedings of the 5th International Conference on Image Formation in X-ray Computed Tomography, Salt Lake City, Utah, the USA: 2018
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-PAF.pdf
  BibTeX: Download
• Huang Y., Lu Y., Taubmann O., Lauritsch G., Maier A.:
  Traditional Machine Learning Techniques for Streak Artifact Reduction in Limited Angle Tomography
  Bildverarbeitung für die Medizin 2018 (Erlangen, March 11, 2018 - March 13, 2018)
  In: Andreas Maier,Thomas M. Deserno, Heinz Handels, Klaus Hermann Maier-Hein, Christoph Palm,Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin 2018 Algorithmen - Systeme - Anwendungen, Springer: 2018
  DOI: 10.1007/978-3-662-56537-7
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2018/Huang18-TML.pdf
  BibTeX: Download
• Stromer D., Christlein V., Huang Y., Zippert P., Helmecke E., Hausotte T., Maier A.:
  Dose Reduction for Historical Books Digitization by 3-D X-Ray CT
  8th Conference on Industrial Computed Tomography (iCT) 2018 (Wels, Austria)
  In: Proceedings of 8th Conference on Industrial Computed Tomography (iCT 2018) 2018
  BibTeX: Download

2017

Journal Articles

• Huang Y., Huang X., Taubmann O., Xia Y., Haase V., Hornegger J., Lauritsch G., Maier A.:
  Restoration of Missing Data in Limited Angle Tomography Based on Helgason-Ludwig Consistency Conditions
  In: Biomedical Physics and Engineering Express 3 (2017), p. 035015
  ISSN: 2057-1976
  DOI: 10.1088/2057-1976/aa71bf
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
  BibTeX: Download

Conference Contributions

• Huang Y., Lu Y., Taubmann O., Lauritsch G., Maier A.:
  Streak Artifact Reduction in Limited Angle Tomography Using Machine Learning
  3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie (Magdeburg, Germany, November 6, 2017 - November 7, 2017)
  In: 3rd Conference on Image-Guided Interventions & Fokus Neuroradiologie 2017
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-SAR.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Hornegger J., Lauritsch G., Maier A.:
  Restoration of Missing Data in Limited Angle Tomography Based on Consistency Conditions
  The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Xi'an, China, June 18, 2017 - June 23, 2017)
  In: Ge Wang and Xuanqin Mou (ed.): The 14th International Meeting on Fully Three‐Dimensional Image Reconstruction in Radiology and Nuclear Medicine 2017
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-ROM.pdf
  BibTeX: Download
• Huang X., Xia Y., Huang Y., Hornegger J., Maier A.:
  Overexposure Correction by Mixed One-bit Compressive Sensing for C-Arm CT
  Bildverarbeitung für die Medizin 2017 (Heidelberg, March 12, 2017 - March 14, 2017)
  In: Klaus Hermann Maier-Hein, geb. Fritzsche, Thomas Martin Deserno, geb. Lehmann, Heinz Handels,Thomas Tolxdorff (ed.): Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen, Berlin: 2017
  DOI: 10.1007/978-3-662-54345-0
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2017/Huang17-OCB.pdf
  BibTeX: Download

2016

Conference Contributions

• Huang Y., Taubmann O., Huang X., Haase V., Lauritsch G., Maier A.:
  A New Scale Space Total Variation Algorithm for Limited Angle Tomography
  CT-Meeting 2016 (Bamberg, Germany, April 13, 2016 - April 16, 2016)
  In: Marc Kachelrieß (ed.): CT-Meeting 2016 Proceedings (The 4th International Meeting on Image Formation in X-Ray Computed Tomography) 2016
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-ANS.pdf
  BibTeX: Download
• Stromer D., Amrehn M., Huang Y., Kugler P., Bauer S., Lauritsch G., Maier A.:
  Comparison of SART and eTV Reconstruction for increased C-arm CT Volume Coverage by proper Detector Rotation in Liver Imaging
  2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, April 13, 2016 - April 16, 2016)
  In: Proceedings of the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2016
  DOI: 10.1109/ISBI.2016.7493337
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Stromer16-COS.pdf
  BibTeX: Download
• Huang Y., Lauritsch G., Amrehn M., Taubmann O., Haase V., Stromer D., Huang X., Maier A.:
  Image Quality Analysis of Limited Angle Tomography Using the Shift-Variant Data Loss Model
  Bildverarbeitung für die Medizin (Berlin, March 13, 2016 - March 15, 2016)
  In: Bildverarbeitung für die Medizin 2016 2016
  DOI: 10.1007/978-3-662-49465-3_49
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang16-IQA.pdf
  BibTeX: Download
• Huang Y., Taubmann O., Huang X., Haase V., Lauritsch G., Maier A.:
  A NEW WEIGHTED ANISOTROPIC TOTAL VARIATION ALGORITHM FOR LIMITED ANGLE TOMOGRAPHY
  2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI) (Prague, April 13, 2016 - April 16, 2016)
  In: the 2016 IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2016
  DOI: 10.1109/ISBI.2016.7493336
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Huang-ANW.pdf
  BibTeX: Download
• Haase V., Taubmann O., Huang Y., Krings G., Lauritsch G., Maier A., Mertins A.:
  Make the Most of Time: Temporal Extension of the iTV Algorithm for 4D Cardiac C-Arm CT
  Bildverarbeitung für die Medizin 2016 (Berlin)
  In: Bildverarbeitung für die Medizin 2016, Berlin Heidelberg: 2016
  DOI: 10.1007/978-3-662-49465-3_31
  URL: https://www5.informatik.uni-erlangen.de/Forschung/Publikationen/2016/Haase16-MTM.pdf
  BibTeX: Download