93. |
08/24 |
|
D. Bošnjak, A. Pepe, R. Schussnig, J. Egger, T.-P. Fries |
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“A semi-automatic method for block-structured hexahedral meshing of aortic dissections” |
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International Journal for Numerical Methods in Biomedical Engineering, Wiley, pp. 1-15, 2024. (Link) |
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92. |
08/24 |
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M. Sallam, K. Al-Mahzoum, O. Alshuaib, H. Alhajri, F. Alotaibi, D. Alkhurainej, M. Y. Al-Balwah, M. Barakat, J. Egger |
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“Superior Performance of Artificial Intelligence Models in English Compared to Arabic in Infectious Disease Queries” |
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BMC Infectious Diseases 24, 799, pp. 1-13, 2024. (Link) |
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91. |
06/24 |
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A. M. Bucher, J. Egger, J. Dietz, R. Strecker, T. Hilbert, E. Frodl, M. Wenzel, T. Penzkofer, B. Hamm, F. KH Chun, T. Vogl, J. Kleesiek, M. Beeres |
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“Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer” |
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J Digit Imaging. Inform. med., Springer, pp. 1-12, 2024. (Link) |
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90. |
06/24 |
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I. Motmaen, K. Xie, L. Schoenbrunn, J. Berens, K. Grunert, A. M. Plum, J. Raufeisen, A. Ferreira, J. Egger, F. Hoelzle, A. Hermans, D. Truhn, B. Puladi |
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“Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists” |
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Clin Oral Invest 28, 381, pp. 1-12, 2024. (Link) |
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89. |
06/24 |
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K. Krieger, J. Egger, J. Kleesiek, M. Gunzer, J. Chen |
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“Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine” |
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Journal of Imaging Informatics in Medicine, Springer, pp. 1-10, 2024. (Link) |
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88. |
05/24 |
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C. Mayer, A. Pepe, S. Hossain, B. Karner, M. Arnreiter, J. Kleesiek, J. Schmid, M. Janisch, H. Deutschmann, M. Fuchsjäger, D. Zimpfer, J. Egger, H. Mächler |
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“Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms” |
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Sci. Data 11, Article number: 596, Springer, pp. 1-09, 2024. (Link) |
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87. |
05/24 |
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J. Li, D. G. Ellis, A. Pepe, C. Gsaxner, M. R. Aizenberg, J. Kleesiek, J. Egger |
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“Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model” |
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Journal of Medical Systems, Springer, pp. 1-10, 2024. (Link) |
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86. |
05/24 |
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J. Raufeisen, K. Xie, F. Hörst, T. Braunschweig, J. Li, J. Kleesiek, R. Röhrig, J. Egger, B. Leibe, F. Hölzle, A. Hermans, B. Puladi |
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“Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images” |
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Computer Methods and Programs in Biomedicine, May 2024. (Link) |
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85. |
05/24 |
|
W. Zhu, Y. Jin, G. Ma, G. Chen, J. Egger, S. Zhang, D. N. Metaxas |
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“Classification of lung cancer subtypes on CT images with synthetic pathological priors” |
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Medical Image Analysis, Elsevier, May 2024. (Link) |
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84. |
03/24 |
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H. Hoffmann, I. Funke, P. Peters, D. K. Venkatesh, J. Egger, D. Rivoir, R. Röhrig, F. Hölzle, S. Bodenstedt, M.-C. Willemer, S. Speidel, B. Puladi |
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“AIxSuture: vision-based assessment of open suturing skills” |
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Int J CARS, Mar. 2024. (Link) |
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83. |
03/24 |
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C. Melchior, P. Isfort, T. Braunschweig, M. Witjes, V. Van den Bosch, A. Rashad, J. Egger, M. de la Fuente, R. Roehrig, F. Hoelzle, B. Puladi |
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“Development and validation of a cadaveric porcine Pseudotumor model for Oral Cancer biopsy and resection training” |
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BMC Med Educ 24, 250, Mar. 2024. (Link) |
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82. |
03/24 |
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F. Hörst, M. Rempe, L. Heine, C. Seibold, J. Keyl, G. Baldini, S. Ugurel, J. Siveke, B. Grünwald, J. Egger, J. Kleesiek |
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“CellViT: Vision Transformers for Precise Cell Segmentation and Classification” |
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Medical Image Analysis, Elsevier, Mar. 2024. (Link) |
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81. |
02/24 |
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M. Sallam, A. Al-Farajat, J. Egger |
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“Envisioning the Future of ChatGPT in Healthcare: Insights and Recommendations from a Systematic Identification of Influential Research and a Call for Papers“ |
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In: Jordan Medical Journal, 58(1):95-108, Feb. 2024. (Link) |
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80. |
02/24 |
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A. Ferreira, J. Li, K. L. Pomykala, J. Kleesiek, V. Alves, J. Egger |
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“GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy“ |
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In: Medical Image Analysis, Elsevier, Feb. 2024. (Link) (IF 10.9 (2023)) |
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79. |
01/24 |
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C. Melzig, S. Hartmann, A. Steuwe, J. Egger, T. D. Do, P. Geisbüsch, H.-U. Kauczor, F. Rengier, M. A. Fink |
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“BMI-Adapted Double Low-Dose Dual-Source Aortic CT for Endoleak Detection after Endovascular Repair: A Prospective Intra-Individual Diagnostic Accuracy Study” |
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Diagnostics, 14(3), 280, 2024. (Link) |
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78. |
01/24 |
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J. Li, A. Dada, B. Puladi, J. Kleesiek, J. Egger |
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“ChatGPT in Healthcare: A Taxonomy and Systematic Review” |
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CMPB, Elsevier, pp. 1-40, 2024. (Link) |
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77. |
11/23 |
|
J. Li, C. Gsaxner, A. Pepe, D. Schmalstieg, J. Kleesiek, J. Egger |
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“Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution” |
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Scientific Reports volume 13, Article number: 20229, 2023. (Link) |
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76. |
11/23 |
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G. Luijten, C. Gsaxner, J. Li, A. Pepe, N. Ambigapathy, M. Kim, X. Chen, J. Kleesiek, F. Hölzle, B. Puladi, J. Egger |
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“3D surgical instrument collection for computer vision and extended reality” |
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Sci. Data, 10(796), pp. 1-12, Springer, Nov. 2023. (Link) (IF 9.8 (2022)) |
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75. |
11/23 |
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M. Rempe, F. Mentzel, K. L. Pomykala, J. Haubold, F. Nensa, K. Kröninger, J. Egger, J. Kleesiek |
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“k-strip: A novel segmentation algorithm in k-space for the application of skull stripping” |
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Computer Methods and Programs in Biomedicine, Elsevier, Nov. 2023. (Link) (IF 6.1 (2022)) |
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74. |
10/23 |
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C. Strack, K. L. Pomykala, H.-P. Schlemmer, J. Egger, J. Kleesiek |
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“A net for everyone: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient” |
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BMC Med Imaging 23, 174, pp. 1-9, 2023. (Link) |
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73. |
10/23 |
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L. J. Gruber, J. Egger, A. Bönsch, J. Kraeima, M. Ulbrich, V. van den Bosch, I. Motmaen, C. Wilpert, M. Ooms, P. Isfort, F. Hölzle, B. Puladi |
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“Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence” |
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Expert Systems with Applications (ESWA), Elsevier, pp. 1-18, 2023. (Link) |
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72. |
10/23 |
|
B. Puladi, C. Gsaxner, J. Kleesiek, F. Hölzle, R. Röhrig, J. Egger |
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“The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review” |
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International Journal of Oral and Maxillofacial Surgery, Elsevier, pp. 1-11, 2023. (Link) |
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71. |
08/23 |
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A. Pepe, J. Egger, M. Codari, M. J. Willemink, C. Gsaxner, J. Li, P. M. Roth, D. Schmalstieg, G. Mistelbauer, D. Fleischmann |
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“Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations” |
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Computers in Biology and Medicine, Elsevier, pp. 1-44, 2023. (Link) |
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70. |
08/23 |
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F. Hörst, S. Ting, S.-T. Liffers, K. L Pomykala, K. Steiger, M. Albertsmeier, M. K. Angele, S. Lorenzen, M. Quante, W. Weichert, J. Egger, J. T. Siveke, J. Kleesiek |
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“Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning” |
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Cancer Informatics no. 7, e2300038, 2023. (Link) (IF 4.2 (2022)) |
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69. |
07/23 |
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A. Dada, T. L. Ufer, M. Kim, M. Hasin, N. Spieker, M. Forsting, F. Nensa, J. Egger, J. Kleesiek |
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“Information extraction from weakly structured radiological reports with natural language queries” |
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European Radiology, pp. 1-8, 2023. (Link) (IF 5.9 (2022)) |
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68. |
07/23 |
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T. van Meegdenburg, J. Kleesiek, J. Egger, S. Perrey |
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“Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans” |
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BioMedInformatics, 3(3), pp. 526-542, 2023. (Link) |
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67. |
06/23 |
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J. Li, A. Ferreira, B. Puladi, V. Alves, M. Kamp, M.-S. Kim, F. Nensa, J. Kleesiek, S.-A. Ahmadi, J. Egger |
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“Open-Source Skull Reconstruction with MONAI” |
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SoftwareX, Volume 23, 101432, pp. 1-6, 2023. (Link) |
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66. |
06/23 |
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J. Li, D. G. Ellis, O. Kodym, L. Rauschenbach, C. Rieß, U. Sure, K. H. Wrede, C. M. Alvarez, M. Wodzinski, M. Daniol, D. Hemmerling, H. Mahdi, A. Clement, E. Kim, Z. Fishman, C. M. Whyne, J. G. Mainprize, M. R. Hardisty, S. Pathak, C. Sindhura, R. K. S. S. Gorthi, D. V. Kiran, S. Gorthi, B. Yang, K. Fang, X. Li, A. Kroviakov, L. Yu, Y. Jin, A. Pepe, C. Gsaxner, A. Herout, V. Alves, M. Španěl, M. R. Aizenberg, J. Kleesiek, J. Egger |
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“Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge“ |
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In: Medical Image Analysis, Elsevier, Jun. 2023. (Link) (IF 13.828 (2021)) |
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65. |
05/23 |
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O. Ester, F. Hörst, C. Seibold, J. Keyl, S. Ting, N. Vasileiadis, J. Schmitz, P. Ivanyi, V. Grünwald, J. H. Bräsen, J. Egger, J. Kleesiek |
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“Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology” |
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Computerized Medical Imaging and Graphics (CMIG), 102238, 2023. (Link) (IF 7.422 (2021)) |
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64. |
03/23 |
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M. Kim, R. Seifert, J. Fragemann, D. Kersting, J. Murray, F. Jonske, K. L. Pomykala, J. Egger, W. P. Fendler, K. Herrmann, J. Kleesiek |
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“Evaluation of thresholding methods for the quantification of [68Ga]Ga-PSMA-11 PET molecular tumor volume and their effect on survival prediction in patients with advanced prostate cancer undergoing [177Lu]Lu-PSMA-617 radioligand therapy“ |
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In: European Journal of Nuclear Medicine and Molecular Imaging, Springer, Mar. 2023. (Link) (IF 10.057 (2021)) |
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63. |
01/23 |
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C. Gsaxner, J. Li, A. Pepe, Y. Jin, J. Kleesiek, D. Schmalstieg, J. Egger |
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“The HoloLens in Medicine: A systematic Review and Taxonomy“ |
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In: Medical Image Analysis, Elsevier, Jan. 2023. (Link) (IF 13.828 (2021)) |
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62. |
11/22 |
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M. Gonçalves, C. Gsaxner, A. Ferreira, J. Li, B. Puladi, J. Kleesiek, J. Egger, V. Alves |
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“Radiomics in Head and Neck Cancer Outcome Predictions” |
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Diagnostics 2022, 12(11), 2733, Nov. 2022. (Link) (IF 3.992 (2021)) |
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61. |
10/22 |
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S. Ranftl, M. Rolf-Pissarczyk, G. Wolkerstorfer, A. Pepe, J. Egger, W. von der Linden, G. A. Holzapfel |
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“Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder–decoder surrogate” |
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Computer Methods in Applied Mechanics and Engineering, Volume 401, Part B, 115594, Oct. 2022. (Link) (IF 6.588 (2021)) |
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60. |
08/22 |
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J. Xu, B Zeng, J. Egger, C. Wang, Ö. Smedby, X. Jiang, X. Chen |
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“A review on AI-based medical image computing in head and neck surgery” |
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Physics in Medicine & Biology, IOP Publishing, July 2022. (Link) (IF 4.174 (2021)) |
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59. |
07/22 |
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F. Jonske, M. Dederichs, M.-S. Kim, J. Keyl, J. Egger, L. Umutlu, M. Forsting, F. Nensa, J. Kleesiek |
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“Deep Learning–driven classification of external DICOM studies for PACS archiving” |
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European Radiology, Springer, July 2022. (Link) (IF 7.034 (2021)) |
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58. |
05/22 |
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J. Egger, C. Gsaxner, A. Pepe, K. L. Pomykala, F. Jonske, M. Kurz, J. Li, J. Kleesiek |
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“Medical Deep Learning - A systematic Meta-Review” |
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Computer Methods and Programs in Biomedicine, Elsevier, May 2022. (Link) (IF 7.027 (2021)) |
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57. |
01/22 |
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J. Egger, D. Wild, M. Weber, C. A. Ramirez Bedoya, F. Karner, A. Prutsch, M. Schmied, C. Dionysio, D. Krobath, Y. Jin, C. Gsaxner, J. Li, A. Pepe |
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“Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform“ |
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In: J Digit Imaging, Springer, pp. 1-16, 2022. (Link) (IF 4.903 (2021)) |
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56. |
01/22 |
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L. Radl, Y. Jin, A. Pepe, J. Li, C. Gsaxner, F. Zhao, J. Egger |
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“AVT: Multicenter Aortic Vessel Tree CTA Dataset Collection with Ground Truth Segmentation Masks“ |
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In: Data in Brief (DIB), Elsevier, 107801, 2022. (Link) (IF n/a (2020)) |
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55. |
11/21 |
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J. Egger, A. Pepe, C. Gsaxner, Y. Jin, J. Li, R. Kern |
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“Deep Learning – A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact” |
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PeerJ Comput. Sci. 7:e773, pp. 1-83, 2021. (Link) (IF 2.411 (2021)) |
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54. |
11/21 |
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J. Li, M. Krall, F. Trummer, A. R. Memon, A. Pepe, C. Gsaxner, Y. Jin, X. Chen, H. Deutschmann, U. Zefferer, U. Schäfer, G. von Campe, J. Egger |
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“MUG500+: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants“ |
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In: Data in Brief (DIB), Elsevier, 107524, ISSN 2352-3409, 2021. (Link) (IF n/a (2020)) |
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53. |
08/21 |
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A.R. Memon, J. Li, J. Egger, X. Chen |
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“A Review on Patient-Specific Facial and Cranial Implant Design using Artificial Intelligence (AI) Techniques” |
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Expert Review of Medical Devices, Taylor & Francis, August 2021. (IF 3.439 (2021)) |
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52. |
08/21 |
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J. Wallner, M. Schwaiger, S.-J. Edmondson, I. Mischak, J. Egger, M. Feichtinger, W. Zemann, M. Pau |
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“Effects of Pre-Operative Risk Factors on Intensive Care Unit Length of Stay (ICU-LOS) in Major Oral and Maxillofacial Cancer Surgery“ |
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In: Cancers, Special Issue Head and Neck Cancer Imaging and Image Analysis, MDPI, pp. 1-17, 2021. (Link) (IF 6.575 (2021)) |
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51. |
07/21 |
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J. Li, G. von Campe, A. Pepe, C. Gsaxner, E. Wang, X. Chen, U. Zefferer, M. Toedtling, M. Krall, H. Deutschmann, U. Schaefer, D. Schmalstieg, J. Egger |
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“Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty“ |
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In: Medical Image Analysis, Elsevier, pp. 1-18, 2021. (Link) (IF 13.828 (2021)) |
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50. |
05/21 |
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J. Li, P. Pimentel, A. Szengel, M. Ehlke, H. Lamecker, S. Zachow, L. Estacio, C. Doenitz, H. Ramm, H. Shi, X. Chen, F. Matzkin, V. Newcombe, E. Ferrante, Y. Jin, D. G. Ellis, M. R. Aizenberg, O. Kodym, M. Španěl, A. Herout, J. G. Mainprize, Z. Fishman, M. R. Hardisty, A. Bayat, S. Shit, B. Wang, Z. Liu, M. Eder, A. Pepe, C. Gsaxner, V. Alves, U. Zefferer, G. von Campe, K. Pistracher, U. Schäfer, D. Schmalstieg, B. H. Menze, B. Glocker, J. Egger |
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“AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design“ |
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In: IEEE Transactions on Medical Imaging (TMI), 15 pages, 2021. (Link) (IF 11.037 (2021)) |
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49. |
02/21 |
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O. Kodym, J. Li, A. Pepe, C. Gsaxner, S. Chilamkurthy, J. Egger, M. Španěl |
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“SkullBreak / SkullFix – Dataset for Automatic Cranial Implant Design and a Benchmark for Volumetric Shape Learning Tasks“ |
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In: Data in Brief (DIB), Elsevier, 106902, ISSN 2352-3409, 2021. (Link) (IF n/a (2020)) |
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48. |
01/21 |
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J. Li, C. Gsaxner, A. Pepe, A. Morais, V. Alves, G. von Campe, J. Wallner, J. Egger |
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“Synthetic skull bone defects for automatic patient-specific craniofacial implant design“ |
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In: Scientific Data, volume 8, Article number: 36, 2021. (Link) (IF 8.501 (2021)) |
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47. |
12/20 |
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A. J. Lungu, W. Swinkels, L. Claesen, P. Tu, J. Egger, X. Chen |
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“A Review on the Applications of Virtual Reality, Augmented Reality and Mixed Reality in Surgical Simulation: An Extension to Different Kinds of Surgery” |
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Expert Review of Medical Devices, Taylor & Francis, December 2020. (IF 3.166 (2020)) |
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46. |
11/20 |
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C. Gsaxner, A. Pepe, J. Li, U. Ibrahimpasic, J. Wallner, D. Schmalstieg, J. Egger |
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“Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach” |
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Computer Methods and Programs in Biomedicine, Elsevier, November 2020. (IF 5.428 (2020)) |
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45. |
07/20 |
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A. Pepe, J. Li, M. Rolf-Pissarczyk, C. Gsaxner, X. Chen, G. A. Holzapfel, J. Egger |
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“Detection, Segmentation, Simulation and Visualization of Aortic Dissections: A Review“ |
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In: Medical Image Analysis, Elsevier, pp. 1-19, 2020. (IF 8.545 (2020)) |
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44. |
02/20 |
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A.R. Memon, E. Wang, J. Hu, J. Egger, X. Chen |
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“A review on computer-aided design and manufacturing of patient-specific maxillofacial implants“ |
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In: Expert Rev Med Devices, Taylor & Francis Group, pp. 1-12, 2020. (IF 3.166 (2020)) |
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43. |
12/19 |
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C. Gsaxner, J. Wallner, X. Chen, W. Zemann, J. Egger |
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“Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery“ |
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In: Scientific Data 6(1):310, 2019. (IF 5.541 (2019)) |
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42. |
09/19 |
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J. Wallner, M. Schwaiger, K. Hochegger, C. Gsaxner, W. Zemann, J. Egger |
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“A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery“ |
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In: Computer Methods and Programs in Biomedicine, 182:105102, pp. 1-23, Sep. 2019. (IF 3.632 (2019)) |
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41. |
09/19 |
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A. Pepe, G. F. Trotta, P. Mohr-Ziak, C. Gsaxner, J. Wallner, V. Bevilacqua, J. Egger |
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“A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation“ |
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In: Journal of Digital Imaging, 32, pp. 1008-1018, Sep. 2019. (IF 3.697 (2019)) |
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|
40. |
07/19 |
|
M. Pau, J. Wallner, M. Feichtinger, M. Schwaiger, J. Egger, J. Cambiaso-Daniel, R. Winter, N. Jakse, W. Zemann |
|
|
|
“Free thoracodorsal, perforator-scapular flap based on the angular
artery (TDAP-Scap-aa): Clinical experiences and description of a novel
technique for single flap reconstruction of extensive oromandibular
defects“ |
|
|
|
In: Journal of Cranio-Maxillofacial Surgery, 47(10):1617-1625, Jul. 2019. (IF 1.766 (2019)) |
|
|
|
|
39. |
03/19 |
|
C. Gsaxner, P. Roth, J. Wallner, J. Egger |
|
|
|
“Exploit fully automatic low-level segmented PET Data for training
high-level Deep Learning Algorithms for the corresponding CT Data“ |
|
|
|
In: PLoS ONE 14(3): e0212550, Mar. 2019. (Link) (thesis) (IF 2.740 (2019)) |
|
|
|
|
38. |
01/19 |
|
J. Wallner, I Mischak, J. Egger |
|
|
|
“Computed tomography data collection of the complete human mandible and valid clinical ground truth models“ |
|
|
|
In: Scientific Data volume 6, Article number: 190003, 2019. (Link) (IF 5.541 (2019)) |
|
|
|
|
37. |
05/18 |
|
J. Wallner, K. Hochegger, X. Chen, I. Mischak, K. Reinbacher, M.
Pau, T. Zrnc, K. Schwenzer-Zimmerer, W. Zemann, D. Schmalstieg, J. Egger |
|
|
|
“Clinical evaluation of semi-automatic opensource algorithmic
software segmentation of the mandibular bone: Practical feasibility and
assessment of a new course of action“ |
|
|
|
In: PLoS ONE 13(5): e0196378, May 2018. (Link) (IF 2.776 (2018)) |
|
|
|
|
36. |
05/18 |
|
S. Bruneder, J. Wallner, A. Weiglein, K. Ludmila, J. Egger, U. Pilsl, W. Zemann |
|
|
|
“Anatomy of the Le Fort I segment: Are arterial variations a
potential risk factor for avascular bone necrosis in Le Fort I
osteotomies?“ |
|
|
|
In: Journal of Cranio-Maxillofacial Surgery, 46(8):1285-1295, May 2018. (IF 1.942 (2018)) |
|
|
|
|
35. |
03/18 |
|
A. Hann, E. Nosalski, P.C. Hermann, J. Egger, T. Seufferlein, F. Keller |
|
|
|
“Chemotherapeutic agents eligible for prior dosing in pancreatic cancer patients requiring hemodialysis: a systematic review“ |
|
|
|
In: Clinical Nephrology - Dustri-Verlag, pp. 1-17, Mar. 2018. (IF 1.079 (2018)) |
|
|
|
|
34. |
11/17 |
|
J. Egger, C. Nimsky, X. Chen |
|
|
|
“Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application“ |
|
|
|
In: SAGE Open Medicine, Volume 5, pp. 1-10, Nov. 2017. (Link) (pdf) (IF 0.675 (2018)) |
|
|
|
|
33. |
10/17 |
|
A. Hann, L. Bettac, M. M. Haenle, T. Graeter, A. W. Berger, J. Dreyhaupt, D. Schmalstieg, W. G. Zoller, J. Egger |
|
|
|
“Algorithm guided outlining of 105 pancreatic cancer liver metastases in Ultrasound“ |
|
|
|
In: Sci. Rep. 7, 12779, 2017. (Link) (IF 4.122 (2017)) |
|
|
|
|
32. |
08/17 |
|
J. Egger, J. Wallner, M. Gall, X. Chen, K. Schwenzer-Zimmerer, K. Reinbacher, D. Schmalstieg |
|
|
|
“Computer-aided position planning of miniplates to treat facial bone defects“ |
|
|
|
In: PLoS ONE 12(8): e0182839, Aug. 2017. (Link) (thesis) (IF 2.766 (2017)) |
|
|
|
|
31. |
06/17 |
|
X. Chen, L. Xu, X. Li, J. Egger |
|
|
|
“Computer-aided implant design for the restoration of cranial defects“ |
|
|
|
In: Sci. Rep. 7, 4199, 2017. (Link) (IF 4.122 (2017)) |
|
|
|
|
30. |
04/17 |
|
J. Egger, D. Schmalstieg, X. Chen, W. G. Zoller, A. Hann |
|
|
|
“Interactive Outlining of Pancreatic Cancer Liver Metastases in Ultrasound Images“ |
|
|
|
In: Sci. Rep. 7, 892, 2017. (Link) (IF 4.122 (2017)) |
|
|
|
|
29. |
03/17 |
|
J. Egger, M. Gall, J. Wallner, P. Boechat, A. Hann, X. Li, X. Chen, D. Schmalstieg |
|
|
|
“HTC Vive MeVisLab integration via OpenVR for medical applications“ |
|
|
|
In: PLoS ONE 12(3): e0173972, Mar. 2017. (Link) (pdf) (IF 2.766 (2017)) |
|
|
|
|
28. |
03/17 |
|
J. Egger, M. Gall, A. Tax, M. Ücal, U. Zefferer, X. Li, G. von Campe, U. Schäfer, D. Schmalstieg, X. Chen |
|
|
|
“Interactive reconstructions of cranial 3D implants under MeVisLab as an alternative to commercial planning software“ |
|
|
|
In: PLoS ONE, 12(3): e0172694, 2017. (Link) (IF 2.766 (2017)) |
|
|
|
|
27. |
01/17 |
|
A. Hann, W. Bohle, J. Egger, W. Zoller |
|
|
|
“Feasibility of alternating induction and maintenance chemotherapy in pancreatic cancer“ |
|
|
|
In: Sci. Rep. 7, 41549, 2017. (Link) (pdf) (IF 4.122 (2017)) |
|
|
|
|
26. |
12/16 |
|
X. Chen, X. Li, L. Xu, Y. Sun, C. Politis, J. Egger |
|
|
|
“Development of a computer-aided design software for dental splint in orthognathic surgery“ |
|
|
|
In: Sci. Rep. 6, 38867, 2016. (Link) (IF 4.259 (2016)) |
|
|
|
|
25. |
10/16 |
|
A. Hann, W. Bohle, J. Egger, W. Zoller |
|
|
|
“Improvement in advanced pancreatic cancer survival with novel
chemotherapeutic strategies – experience of a community based hospital“ |
|
|
|
In: Z Gastroenterol 54(10), 1138-1142, October 2016. (IF 1.618 (2016)) |
|
|
|
|
24. |
06/16 |
|
T. Lüddemann, J. Egger |
|
|
|
“Iterative-cuts: longitudinal and scale-invariant segmentation via
user-defined templates for rectosigmoid colon in gynecological
brachytherapy“ |
|
|
|
In: J. Med. Imag. 3(2), 024004 (2016), doi: 10.1117/1.JMI.3.2.024004, June 2016. (Link) (thesis) (IF 0.482 (2016)) |
|
|
|
|
23. |
02/16 |
|
X. Chen, L. Xu, Y. Yang, J. Egger |
|
|
|
“A semi-automatic computer-aided method for surgical template design“ |
|
|
|
In: Sci. Rep. 6, 20280, 2016. (Link) (pdf) (IF 4.259 (2016)) |
|
|
|
|
22. |
10/15 |
|
J. Egger, H. Busse, P. Brandmaier, D. Seider, M. Gawlitza, S.
Strocka, P. Voglreiter, M. Dokter, M. Hofmann, B. Kainz, A. Hann, X.
Chen, T. Alhonnoro, M. Pollari, D. Schmalstieg, M. Moche |
|
|
|
“Interactive Volumetry of Liver Ablation Zones“ |
|
|
|
In: Sci. Rep. 5, 15373, 2015. (Link) (pdf) (IF 5.228 (2015)) |
|
|
|
|
21. |
04/15 |
|
X. Chen, L. Xu, Y. Wang, H. Wang, F. Wang, X. Zeng, Q. Wang, J. Egger |
|
|
|
“Development of a Surgical Navigation System based on Augmented Reality using an Optical see-through Head-mounted Display“ |
|
|
|
In: Journal of Biomedical Informatics (JBI), 55:124-31, April 2015. (IF 2.447 (2015)) |
|
|
|
|
20. |
06/14 |
|
J. Egger |
|
|
|
“Refinement-Cut: User-Guided Segmentation Algorithm for Translational Science“ |
|
|
|
In: Sci. Rep. 4, 5164, June 2014. (Link) (IF 5.578 (2014)) |
|
|
|
|
19. |
04/14 |
|
R. Schwarzenberg, B. Freisleben, C. Nimsky, J. Egger |
|
|
|
“Cube-Cut: Vertebral Body Segmentation in MRI-Data through Cubic-Shaped Divergences“ |
|
|
|
In: PLoS One, April 2014. (Link) (thesis) (IF 3.234 (2014)) |
|
|
|
|
18. |
03/14 |
|
X. Chen, J. Egger |
|
|
|
“Development of an Open Source Software Module for Enhanced
Visualization during MR-Guided Interstitial Gynecologic Brachytherapy“ |
|
|
|
In: SpringerPlus, 3:167, March 2014. (Link) (pdf) (IF 0.982 (2015)) |
|
|
|
|
17. |
03/14 |
|
D. Zukic, A. Vlasak, J. Egger, D. Horinek, C. Nimsky, A. Kolb |
|
|
|
“Robust Detection and Segmentation for Diagnosis of Vertebral Diseases using Routine MR Images“ |
|
|
|
In: Computer Graphics Forum, Article first published online: 4 March 2014. (IF 1.642 (2014)) |
|
|
|
|
16. |
02/14 |
|
J. Egger, T. Lüddemann, R. Schwarzenberg, B. Freisleben, C. Nimsky |
|
|
|
“Interactive-Cut: Real-Time Feedback Segmentation for Translational Research“ |
|
|
|
In: Journal of Computerized Medical Imaging and Graphics, Elsevier, Available online 11 February 2014. (IF 1.218 (2014)) |
|
|
|
|
15. |
10/13 |
|
J. Egger |
|
|
|
“PCG-Cut: Graph Driven Segmentation of the Prostate Central Gland“ |
|
|
|
In: PLoS One. 2013; 8(10):e76645. Epub 2013 Oct 11. (Link) (IF 3.534 (2013)) |
|
|
|
|
14. |
08/13 |
|
J. Egger |
|
|
|
“Image-guided therapy system for interstitial gynecologic brachytherapy in a multimodality operating suite“ |
|
|
|
In: SpringerPlus, 2:395, 2013. (Link) (pdf) (IF 0.982 (2015)) |
|
|
|
|
13. |
03/13 |
|
J. Egger, T. Kapur, A. Fedorov, S. Pieper, J. V. Miller, H. Veeraraghavan, B. Freisleben, A. J. Golby, C. Nimsky, R. Kikinis |
|
|
|
“GBM Volumetry using the 3D Slicer Medical Image Computing Platform“ |
|
|
|
In: Sci. Rep., Nature Publishing Group (NPG), 3:1364, 2013. (Link) (IF 5.078 (2013)) |
|
|
|
|
12. |
01/13 |
|
D. Kuhnt, M. H. A. Bauer, J. Egger, D. Merhof, M. Richter, T. Kapur, J. Sommer, C. Nimsky |
|
|
|
“Fiber tractography based on diffusion tensor imaging (DTI) compared
with High Angular Resolution Diffusion Imaging (HARDI) with compressed
sensing (CS) – initial experience and clinical impact“ |
|
|
|
In: Neurosurgery, 72 Suppl 1:165-75, 2013. (IF 3.031 (2013)) |
|
|
|
|
11. |
12/12 |
|
J. Egger, D. Zukic, B. Freisleben, A. Kolb, C. Nimsky |
|
|
|
“Segmentation of pituitary adenoma: A graph-based method vs. a balloon inflation method“ |
|
|
|
In: Computer Methods and Programs in Biomedicine, Elsevier, 2012. (IF 1.555 (2012)) |
|
|
|
|
10. |
12/12 |
|
J. Egger, T. Kapur, C. Nimsky, R. Kikinis |
|
|
|
“Pituitary Adenoma Volumetry with 3D Slicer“ |
|
|
|
In: PLoS ONE, 2012. (Link) (IF 3.730 (2012)) |
|
|
|
|
9. |
08/12 |
|
T. Kapur, J. Egger, A. Damato, E. Schmidt, A. Viswanathan |
|
|
|
“3-T MR-guided brachytherapy for gynecologic malignancies“ |
|
|
|
In: Magnetic Resonance Imaging, Elsevier, 12 pages, 2012. (IF 2.566 (2012)) |
|
|
|
|
8. |
05/12 |
|
J. Egger, B. Freisleben, C. Nimsky, T. Kapur |
|
|
|
“Template-Cut: A Pattern-Based Segmentation Paradigm“ |
|
|
|
In: Scientific Reports, Nature Publishing Group (NPG), 2(420), 2012. (Link) (IF 2.927 (2012)) |
|
|
|
|
7. |
02/12 |
|
J. Egger, J. Tokuda, L. Chauvin, B. Freisleben, C. Nimsky, T. Kapur, W. Wells III |
|
|
|
“Integration of the OpenIGTLink Network Protocol for Image-Guided Therapy with the Medical Platform MeVisLab“ |
|
|
|
In: International Journal of Medical Robotics and Computer Assisted Surgery, Wiley-Blackwell, 2012. (IF 1.488 (2012)) |
|
|
|
|
6. |
02/12 |
|
J. Egger, T. Kapur, T. Dukatz, M. Kolodziej, D. Zukic, B. Freisleben, C. Nimsky |
|
|
|
“Square-Cut: A Segmentation Algorithm on the Basis of a Rectangle Shape“ |
|
|
|
In: PLoS ONE, 2012. (Link) (IF 3.730 (2012)) |
|
|
|
|
5. |
01/12 |
|
J. Egger, S. Grosskopf, C. Nimsky, T. Kapur, B. Freisleben |
|
|
|
“Modeling and Visualization Techniques for Virtual Stenting of Aneurysms and Stenoses“ |
|
|
|
In: Journal of Computerized Medical Imaging and Graphics, Elsevier, 2012. (IF 1.664 (2012)) |
|
|
|
|
4. |
08/11 |
|
J. Egger, R. Colen, B. Freisleben, Ch. Nimsky |
|
|
|
“Manual Refinement System for Graph-Based Segmentation
Results in the Medical Domain“ |
|
|
|
In: Journal of Medical Systems, Springer, Aug. 2011. (IF 1.132 (2011)) |
|
|
|
|
3. |
03/11 |
|
J. Egger, C. Kappus, B. Freisleben, Ch. Nimsky |
|
|
|
“A Medical Software System for Volumetric Analysis of Cerebral Pathologies in Magnetic Resonance Imaging (MRI) Data“ |
|
|
|
In: Journal of Medical Systems, Springer, Mar. 2011. (IF 1.132 (2011)) |
|
|
|
|
2. |
02/11 |
|
R. D. Renapurkar, R. M. Setser, T. P. O’Donnell, J. Egger, M. L. Lieber, M. Y. Desai, A. E. Stillman, P. Schoenhagen, S. D. Flamm |
|
|
|
“Aortic volume as an indicator of disease progression in patients with untreated infrarenal abdominal aneurysm“ |
|
|
|
In: European Journal of Radiology, 81(2):e87-93, Epub Feb. 2011. (IF 2.606 (2011)) |
|
|
|
|
1. |
06/10 |
|
M. H. A. Bauer, S. Barbieri, J. Klein, J. Egger, D. Kuhnt, B. Freisleben, H. K. Hahn, Ch. Nimsky |
|
|
|
“Boundary Estimation of Fiber Bundles derived from Diffusion Tensor Images“ |
|
|
|
In: International Journal of Computer Assisted Radiology and Surgery (IJCARS), 6(1):1-11, Epub Jun. 2010. (IF 1.481 (2011)) |
|
|
|
|