113.	06/25		A. Pepe, R. Schussnig, J. Li, C. Gsaxner, D. Schmalstieg, J. Egger
			“Deep Medial Voxels: Learned Medial Axis Approximations for Anatomical Shape Modeling”
			IEEE TMI, pp. 1-12, 2025. (Link)
112.	06/25		I. Jin, J. A. Tangsrivimol, E. Darzi, H. U. Hassan Virk, Z. Wang, J. Egger, S. Hacking, B. S. Glicksberg, M. Strauss, C. Krittanawong
			“DeepSeek vs. ChatGPT: prospects and challenges”
			Front. Artif. Intell., Sec. Machine Learning and Artificial Intelligence, volume 8:1576992, pp. 1-12, 2025. (Link)
111.	05/25		J. J. E. Moors, Z. Xu, K. Xie, A. Rashad, O. Vladu, J. Egger, R. Röhrig, F. Hölzle, B. Puladi
			“Full-thickness skin graft versus split-thickness skin graft for fasciocutaneous radial forearm free flap donor site closure: a systematic review and meta-analysis”
			Systematic Reviews, volume 14, Article number 118, pp. 1-18, 2025. (Link)
110.	05/25		P. Becker, Y. Li, S. Drobinsky, J. Egger, K. Xie, A. Rashad, K. Radermacher, R. Röhrig, M. de la Fuente, F. Hölzle, B. Puladi
			“Development and validation of collaborative robot-assisted cutting method for iliac crest flap raising: Randomized crossover trial”
			Scientific Reports, volume 15, Article number: 16909, pp. 1-18, 2025. (Link)
109.	05/25		N. Sadok, G. Luijten, F. H. Bahnsen, C. Gsaxner, L. Peters, T. Eichler, T. Rombach, S. Lang, S. Khattab, J. Kleesiek, D. Holle, M. Meyer, J. Egger
			“Performing the HINTS-exam using a mixed-reality head-mounted display in patients with acute vestibular syndrome: a feasibility study”
			Frontiers in Neurology, volume 16, pp. 1-9, 2025. (Link)
108.	05/25		A. R. Memon, H. Shi, T. R. Memon, J. Egger, X. Chen
			“Deep learning-based automatic cranial implant design through direct defect shape prediction and its comparison study”
			Medical & Biological Engineering & Computing, Springer, pp. 1-12, 2025. (Link)
107.	05/25		A. Brehmer, C. Seibold, , J. Egger, K. Majjouti, M. Tapp-Herrenbrück, H. Pinnekamp, V. Priester, M. Aleithe, U. Fischer, B. Hosters, J. Kleesiek
			“Fine-Grained Classification of Pressure Ulcers and Incontinence-Associated Dermatitis Using Multimodal Deep Learning: Algorithm Development and Validation Study”
			JMIR AI, 4:e67356, pp. 1-13, 2025. (Link)
106.	04/25		Y. Jin, A. Pepe, J. Li, C. Gsaxner, Y. Chen, B. Puladi, F.-h. Zhao, K. Pomykala, J. Kleesiek, A. Frangi, J. Egger
			“Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo”
			ACM Computing Surveys, pp. 1-37, 2025. (Link) (IF 23.8 (2023))
105.	04/25		M. Sallam, I. M. Alasfoor, S. W. Khalid, R. I. Al-Mulla, A. Al-Farajat, M. M. Mijwil, R. Zahrawi, M. Sallam, J. Egger, A. S. Al-Adwan
			“Chinese generative AI models (DeepSeek and Qwen) rival ChatGPT-4 in ophthalmology queries with excellent performance in Arabic and English”
			naara j, 5(1), pp. 1-16, 2025. (Link)
104.	01/25		F. Jonske, M. Kim, E. Nasca, J. Evers, J. Haubold, R. Hosch, F. Nensa, M. Kamp, C. Seibold, J. Egger, J. Kleesiek
			“Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries”
			CMPB, Elsevier, pp. 1-22, 2025. (Link)
103.	01/25		J. Keyl, P. Keyl, G. Montavon, R. Hosch, A. Brehmer, L. Mochmann, P. Jurmeister, G. Dernbach, M. Kim, S. Koitka, S. Bauer, N. Bechrakis, M. Forsting, D. Führer-Sakel, M. Glas, V. Grünwald, B. Hadaschik, J. Haubold, K. Herrmann, S. Kasper, R. Kimmig, S. Lang, T. Rassaf, A. Roesch, D. Schadendorf, J. T. Siveke, M. Stuschke, U. Sure, M. Totzeck, A. Welt, M. Wiesweg, H. A. Baba, F. Nensa, J. Egger, K.-R. Müller, M. Schuler, F. Klauschen, J. Kleesiek
			“Decoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence“
			Nature Cancer, pp.1-32, 2025. (Link) (Code) (IF 23.5 (2023))
102.	01/25		J. A. Tangsrivimol, E. Darzidehkalani, H. U. H. Virk, Z. Wang, J. Egger, M. Wang, S. Hacking, B. S. Glicksberg, M. Strauss, C. Krittanawong
			“Benefits, limits, and risks of ChatGPT in medicine“
			Frontiers in Artificial Intelligence, Frontiers, 8, pp.1-11, 2025. (Link) (IF 3.0 (2023))
101.	01/25		N. Solak, A. Ferreira, G. Luijten, B. Puladi, V. Alves, J. Egger
			“GBM-Reservoir: Brain Tumor (Glioblastoma Multiforme) MRI Dataset Collection with Ground Truth Segmentation Masks“
			Data in Brief (DIB), Elsevier, 111287, 2025. (Link) (IF 1.0 (2023))
100.	12/24		J. Li, et al.
			“MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision”
			Biomedical Engineering / Biomedizinische Technik, De Gruyter, pp. 1-20, 2024. (Link) (Code) (Code)
99.	10/24		Y. Li, S. Drobinsky, P. Becker, K. Xie, M. Lipprandt, C. Andreas Mueller, J. Egger, F. Hölzle, R. Röhrig, K. Radermacher, M. de la Fuente, B. Puladi
			“Accuracy and efficiency of drilling trajectories with augmented reality versus conventional navigation randomized crossover trial”
			npj Digital Medicine, pp. 1-13, 2024. (Link)
98.	10/24		S. Gatidis, M. Früh, M. Fabritius, S. Gu, K. Nikolaou, C. La Fougère, J. Ye, J. He, Y. Peng, L. Bi, J. Ma, B. Wang, J. Zhang, Y. Huang, L. Heiliger, Z. Marinov, R. Stiefelhagen, J. Egger, J. Kleesiek, L. Sibille, L. Xiang, S. Bendazolli, M. Astaraki, M. Ingrisch, C. Cyran, T. Küstner
			“Results from the autoPET challenge on fully automated lesion segmentation in oncologic PET/CT imaging”
			Nature Machine Intelligence, pp. 1-21, 2024. (Link)
97.	09/24		M. Sallam, K. Al-Salahat, H. Eid, J. Egger, B. Puladi
			“Human versus Artificial Intelligence: ChatGPT-4 Outperforming Bing, Bard, ChatGPT-3.5, and Humans in Clinical Chemistry Multiple-Choice Questions”
			Advances in Medical Education and Practice, Dovepress, Volume 15, pp. 857-871, 2024. (Link)
96.	09/24		J. Egger, C. Gsaxner, G. Luijten, J. Chen, X. Chen, J. Bian, J. Kleesiek, B. Puladi
			“Is the Apple Vision Pro the Ultimate Display? A First Perspective and Survey on Entering the Wonderland of Precision Medicine”
			JMIR Serious Games, JMIR, 12:e52785, pp. 1-15, 2024. (Link)
95.	09/24		A. Brehmer, C. M. Sauer, J. Salazar, K. Hermmann, M. Kim, J. Keyl, F. H. Bahnsen, B. Frank, M. Köhrmann, T. Rassaf, A.-A. Mahabadi, B. Hadaschik, C. Darr, K. Herrmann, S. Tan, J. Buer, T. Brenner, H. C. Reinhardt, F. Nensa, M. Gertz, J. Egger, J. Kleesiek
			“Establishing Medical Intelligence - Leveraging FHIR to Improve Clinical Management: a retrospective cohort and clinical implementation study”
			Journal of Medical Internet Research, JMIR, pp. 1-34, 2024. (Link)
94.	08/24		Z. Marinov, P. F. Jäger, J. Egger, J. Kleesiek, R. Stiefelhagen
			“Deep Interactive Segmentation of Medical Images: A Systematic Review and Taxonomy”
			IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), IEEE, pp. 1-20, 2024. (Link)
93.	08/24		D. Bošnjak, A. Pepe, R. Schussnig, J. Egger, T.-P. Fries
			“A semi-automatic method for block-structured hexahedral meshing of aortic dissections”
			International Journal for Numerical Methods in Biomedical Engineering, Wiley, pp. 1-15, 2024. (Link)
92.	08/24		M. Sallam, K. Al-Mahzoum, O. Alshuaib, H. Alhajri, F. Alotaibi, D. Alkhurainej, M. Y. Al-Balwah, M. Barakat, J. Egger
			“Superior Performance of Artificial Intelligence Models in English Compared to Arabic in Infectious Disease Queries”
			BMC Infectious Diseases 24, 799, pp. 1-13, 2024. (Link)
91.	06/24		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
			“Value of MRI - T2 Mapping to Differentiate Clinically Significant Prostate Cancer”
			J Digit Imaging. Inform. med., Springer, pp. 1-12, 2024. (Link)
90.	06/24		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
			“Insights into Predicting Tooth Extraction from Panoramic Dental Images: Artificial Intelligence vs. Dentists”
			Clin Oral Invest 28, 381, pp. 1-12, 2024. (Link)
89.	06/24		K. Krieger, J. Egger, J. Kleesiek, M. Gunzer, J. Chen
			“Multisensory Extended Reality Applications Offer Benefits for Volumetric Biomedical Image Analysis in Research and Medicine”
			Journal of Imaging Informatics in Medicine, Springer, pp. 1-10, 2024. (Link) (Git)
88.	05/24		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
			“Type B Aortic Dissection CTA Collection with True and False Lumen Expert Annotations for the Development of AI-based Algorithms”
			Sci. Data 11, Article number: 596, Springer, pp. 1-09, 2024. (Link)
87.	05/24		J. Li, D. G. Ellis, A. Pepe, C. Gsaxner, M. R. Aizenberg, J. Kleesiek, J. Egger
			“Back to the Roots: Reconstructing Large and Complex Cranial Defects using an Image-based Statistical Shape Model”
			Journal of Medical Systems, Springer, pp. 1-10, 2024. (Link)
86.	05/24		J. Raufeisen, K. Xie, F. Hörst, T. Braunschweig, J. Li, J. Kleesiek, R. Röhrig, J. Egger, B. Leibe, F. Hölzle, A. Hermans, B. Puladi
			“Cyto R-CNN and CytoNuke Dataset: Towards reliable whole-cell segmentation in bright-field histological images”
			Computer Methods and Programs in Biomedicine, May 2024. (Link)
85.	05/24		W. Zhu, Y. Jin, G. Ma, G. Chen, J. Egger, S. Zhang, D. N. Metaxas
			“Classification of lung cancer subtypes on CT images with synthetic pathological priors”
			Medical Image Analysis, Elsevier, May 2024. (Link)
84.	03/24		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
			“AIxSuture: vision-based assessment of open suturing skills”
			Int J CARS, Mar. 2024. (Link)
83.	03/24		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
			“Development and validation of a cadaveric porcine Pseudotumor model for Oral Cancer biopsy and resection training”
			BMC Med Educ 24, 250, Mar. 2024. (Link)
82.	03/24		F. Hörst, M. Rempe, L. Heine, C. Seibold, J. Keyl, G. Baldini, S. Ugurel, J. Siveke, B. Grünwald, J. Egger, J. Kleesiek
			“CellViT: Vision Transformers for Precise Cell Segmentation and Classification”
			Medical Image Analysis, Elsevier, Mar. 2024. (Link) (Code)
81.	02/24		M. Sallam, A. Al-Farajat, J. Egger
			“Envisioning the Future of ChatGPT in Healthcare: Insights and Recommendations from a Systematic Identification of Influential Research and a Call for Papers“
			In: Jordan Medical Journal, 58(1):95-108, Feb. 2024. (Link)
80.	02/24		A. Ferreira, J. Li, K. L. Pomykala, J. Kleesiek, V. Alves, J. Egger
			“GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy“
			In: Medical Image Analysis, Elsevier, Feb. 2024. (Link) (IF 10.9 (2023))
79.	01/24		C. Melzig, S. Hartmann, A. Steuwe, J. Egger, T. D. Do, P. Geisbüsch, H.-U. Kauczor, F. Rengier, M. A. Fink
			“BMI-Adapted Double Low-Dose Dual-Source Aortic CT for Endoleak Detection after Endovascular Repair: A Prospective Intra-Individual Diagnostic Accuracy Study”
			Diagnostics, 14(3), 280, 2024. (Link)
78.	01/24		J. Li, A. Dada, B. Puladi, J. Kleesiek, J. Egger
			“ChatGPT in Healthcare: A Taxonomy and Systematic Review”
			CMPB, Elsevier, pp. 1-40, 2024. (Link)
77.	11/23		J. Li, C. Gsaxner, A. Pepe, D. Schmalstieg, J. Kleesiek, J. Egger
			“Sparse convolutional neural network for high-resolution skull shape completion and shape super-resolution”
			Scientific Reports volume 13, Article number: 20229, 2023. (Link)
76.	11/23		G. Luijten, C. Gsaxner, J. Li, A. Pepe, N. Ambigapathy, M. Kim, X. Chen, J. Kleesiek, F. Hölzle, B. Puladi, J. Egger
			“3D surgical instrument collection for computer vision and extended reality”
			Sci. Data, 10(796), pp. 1-12, Springer, Nov. 2023. (Link) (IF 9.8 (2022))
75.	11/23		M. Rempe, F. Mentzel, K. L. Pomykala, J. Haubold, F. Nensa, K. Kröninger, J. Egger, J. Kleesiek
			“k-strip: A novel segmentation algorithm in k-space for the application of skull stripping”
			Computer Methods and Programs in Biomedicine, Elsevier, Nov. 2023. (Link) (IF 6.1 (2022))
74.	10/23		C. Strack, K. L. Pomykala, H.-P. Schlemmer, J. Egger, J. Kleesiek
			“A net for everyone: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient”
			BMC Med Imaging 23, 174, pp. 1-9, 2023. (Link)
73.	10/23		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
			“Accuracy and Precision of Mandible Segmentation and Its Clinical Implications: Virtual Reality, Desktop Screen and Artificial Intelligence”
			Expert Systems with Applications (ESWA), Elsevier, pp. 1-18, 2023. (Link)
72.	10/23		B. Puladi, C. Gsaxner, J. Kleesiek, F. Hölzle, R. Röhrig, J. Egger
			“The impact and opportunities of large language models like ChatGPT in oral and maxillofacial surgery: a narrative review”
			International Journal of Oral and Maxillofacial Surgery, Elsevier, pp. 1-11, 2023. (Link)
71.	08/23		A. Pepe, J. Egger, M. Codari, M. J. Willemink, C. Gsaxner, J. Li, P. M. Roth, D. Schmalstieg, G. Mistelbauer, D. Fleischmann
			“Automated cross-sectional view selection in CT angiography of aortic dissections with uncertainty awareness and retrospective clinical annotations”
			Computers in Biology and Medicine, Elsevier, pp. 1-44, 2023. (Link)
70.	08/23		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
			“Histology-based Prediction of Therapy Response to Neoadjuvant Chemotherapy for Esophageal and Esophagogastric Junction Adenocarcinomas Using Deep Learning”
			Cancer Informatics no. 7, e2300038, 2023. (Link) (IF 4.2 (2022))
69.	07/23		A. Dada, T. L. Ufer, M. Kim, M. Hasin, N. Spieker, M. Forsting, F. Nensa, J. Egger, J. Kleesiek
			“Information extraction from weakly structured radiological reports with natural language queries”
			European Radiology, pp. 1-8, 2023. (Link) (IF 5.9 (2022))
68.	07/23		T. van Meegdenburg, J. Kleesiek, J. Egger, S. Perrey
			“Improvement in Disease Diagnosis in Computed Tomography Images by Correlating Organ Volumes with Disease Occurrences in Humans”
			BioMedInformatics, 3(3), pp. 526-542, 2023. (Link)
67.	06/23		J. Li, A. Ferreira, B. Puladi, V. Alves, M. Kamp, M.-S. Kim, F. Nensa, J. Kleesiek, S.-A. Ahmadi, J. Egger
			“Open-Source Skull Reconstruction with MONAI”
			SoftwareX, Volume 23, 101432, pp. 1-6, 2023. (Link)
66.	06/23		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
			“Towards clinical applicability and computational efficiency in automatic cranial implant design: An overview of the AutoImplant 2021 cranial implant design challenge“
			In: Medical Image Analysis, Elsevier, Jun. 2023. (Link) (IF 13.828 (2021))
65.	05/23		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
			“Valuing Vicinity: Memory attention framework for context-based semantic segmentation in histopathology”
			Computerized Medical Imaging and Graphics (CMIG), 102238, 2023. (Link) (IF 7.422 (2021))
64.	03/23		M. Kim, R. Seifert, J. Fragemann, D. Kersting, J. Murray, F. Jonske, K. L. Pomykala, J. Egger, W. P. Fendler, K. Herrmann, J. Kleesiek
			“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“
			In: European Journal of Nuclear Medicine and Molecular Imaging, Springer, Mar. 2023. (Link) (IF 10.057 (2021))
63.	01/23		C. Gsaxner, J. Li, A. Pepe, Y. Jin, J. Kleesiek, D. Schmalstieg, J. Egger
			“The HoloLens in Medicine: A systematic Review and Taxonomy“
			In: Medical Image Analysis, Elsevier, Jan. 2023. (Link) (IF 13.828 (2021))
62.	11/22		M. Gonçalves, C. Gsaxner, A. Ferreira, J. Li, B. Puladi, J. Kleesiek, J. Egger, V. Alves
			“Radiomics in Head and Neck Cancer Outcome Predictions”
			Diagnostics 2022, 12(11), 2733, Nov. 2022. (Link) (IF 3.992 (2021))
61.	10/22		S. Ranftl, M. Rolf-Pissarczyk, G. Wolkerstorfer, A. Pepe, J. Egger, W. von der Linden, G. A. Holzapfel
			“Stochastic modeling of inhomogeneities in the aortic wall and uncertainty quantification using a Bayesian encoder–decoder surrogate”
			Computer Methods in Applied Mechanics and Engineering, Volume 401, Part B, 115594, Oct. 2022. (Link) (IF 6.588 (2021))
60.	08/22		J. Xu, B Zeng, J. Egger, C. Wang, Ö. Smedby, X. Jiang, X. Chen
			“A review on AI-based medical image computing in head and neck surgery”
			Physics in Medicine & Biology, IOP Publishing, July 2022. (Link) (IF 4.174 (2021))
59.	07/22		F. Jonske, M. Dederichs, M.-S. Kim, J. Keyl, J. Egger, L. Umutlu, M. Forsting, F. Nensa, J. Kleesiek
			“Deep Learning–driven classification of external DICOM studies for PACS archiving”
			European Radiology, Springer, July 2022. (Link) (IF 7.034 (2021))
58.	05/22		J. Egger, C. Gsaxner, A. Pepe, K. L. Pomykala, F. Jonske, M. Kurz, J. Li, J. Kleesiek
			“Medical Deep Learning - A systematic Meta-Review”
			Computer Methods and Programs in Biomedicine, Elsevier, May 2022. (Link) (IF 7.027 (2021))
57.	01/22		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
			“Studierfenster: an Open Science Cloud-Based Medical Imaging Analysis Platform“
			In: J Digit Imaging, Springer, pp. 1-16, 2022. (Link) (IF 4.903 (2021))
56.	01/22		L. Radl, Y. Jin, A. Pepe, J. Li, C. Gsaxner, F. Zhao, J. Egger
			“AVT: Multicenter Aortic Vessel Tree CTA Dataset Collection with Ground Truth Segmentation Masks“
			In: Data in Brief (DIB), Elsevier, 107801, 2022. (Link) (IF n/a (2020))
55.	11/21		J. Egger, A. Pepe, C. Gsaxner, Y. Jin, J. Li, R. Kern
			“Deep Learning – A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact”
			PeerJ Comput. Sci. 7:e773, pp. 1-83, 2021. (Link) (IF 2.411 (2021))
54.	11/21		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
			“MUG500+: Database of 500 High-resolution Healthy Human Skulls and 29 Craniotomy Skulls and Implants“
			In: Data in Brief (DIB), Elsevier, 107524, ISSN 2352-3409, 2021. (Link) (IF n/a (2020))
53.	08/21		A.R. Memon, J. Li, J. Egger, X. Chen
			“A Review on Patient-Specific Facial and Cranial Implant Design using Artificial Intelligence (AI) Techniques”
			Expert Review of Medical Devices, Taylor & Francis, August 2021. (IF 3.439 (2021))
52.	08/21		J. Wallner, M. Schwaiger, S.-J. Edmondson, I. Mischak, J. Egger, M. Feichtinger, W. Zemann, M. Pau
			“Effects of Pre-Operative Risk Factors on Intensive Care Unit Length of Stay (ICU-LOS) in Major Oral and Maxillofacial Cancer Surgery“
			In: Cancers, Special Issue Head and Neck Cancer Imaging and Image Analysis, MDPI, pp. 1-17, 2021. (Link) (IF 6.575 (2021))
51.	07/21		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
			“Automatic Skull Defect Restoration and Cranial Implant Generation for Cranioplasty“
			In: Medical Image Analysis, Elsevier, pp. 1-18, 2021. (Link) (IF 13.828 (2021))
50.	05/21		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
			“AutoImplant 2020 - First MICCAI Challenge on Automatic Cranial Implant Design“
			In: IEEE Transactions on Medical Imaging (TMI), 15 pages, 2021. (Link) (IF 11.037 (2021))
49.	02/21		O. Kodym, J. Li, A. Pepe, C. Gsaxner, S. Chilamkurthy, J. Egger, M. Španěl
			“SkullBreak / SkullFix – Dataset for Automatic Cranial Implant Design and a Benchmark for Volumetric Shape Learning Tasks“
			In: Data in Brief (DIB), Elsevier, 106902, ISSN 2352-3409, 2021. (Link) (IF n/a (2020))
48.	01/21		J. Li, C. Gsaxner, A. Pepe, A. Morais, V. Alves, G. von Campe, J. Wallner, J. Egger
			“Synthetic skull bone defects for automatic patient-specific craniofacial implant design“
			In: Scientific Data, volume 8, Article number: 36, 2021. (Link) (IF 8.501 (2021))
47.	12/20		A. J. Lungu, W. Swinkels, L. Claesen, P. Tu, J. Egger, X. Chen
			“A Review on the Applications of Virtual Reality, Augmented Reality and Mixed Reality in Surgical Simulation: An Extension to Different Kinds of Surgery”
			Expert Review of Medical Devices, Taylor & Francis, December 2020. (IF 3.166 (2020))
46.	11/20		C. Gsaxner, A. Pepe, J. Li, U. Ibrahimpasic, J. Wallner, D. Schmalstieg, J. Egger
			“Augmented Reality for Head and Neck Carcinoma Imaging: Description and Feasibility of an Instant Calibration, Markerless Approach”
			Computer Methods and Programs in Biomedicine, Elsevier, November 2020. (IF 5.428 (2020))
45.	07/20		A. Pepe, J. Li, M. Rolf-Pissarczyk, C. Gsaxner, X. Chen, G. A. Holzapfel, J. Egger
			“Detection, Segmentation, Simulation and Visualization of Aortic Dissections: A Review“
			In: Medical Image Analysis, Elsevier, pp. 1-19, 2020. (IF 8.545 (2020))
44.	02/20		A.R. Memon, E. Wang, J. Hu, J. Egger, X. Chen
			“A review on computer-aided design and manufacturing of patient-specific maxillofacial implants“
			In: Expert Rev Med Devices, Taylor & Francis Group, pp. 1-12, 2020. (IF 3.166 (2020))
43.	12/19		C. Gsaxner, J. Wallner, X. Chen, W. Zemann, J. Egger
			“Facial model collection for medical augmented reality in oncologic cranio-maxillofacial surgery“
			In: Scientific Data 6(1):310, 2019. (IF 5.541 (2019))
42.	09/19		J. Wallner, M. Schwaiger, K. Hochegger, C. Gsaxner, W. Zemann, J. Egger
			“A Review on Multiplatform Evaluations of Semi-Automatic Open-Source Based Image Segmentation for Cranio-Maxillofacial Surgery“
			In: Computer Methods and Programs in Biomedicine, 182:105102, pp. 1-23, Sep. 2019. (IF 3.632 (2019))
41.	09/19		A. Pepe, G. F. Trotta, P. Mohr-Ziak, C. Gsaxner, J. Wallner, V. Bevilacqua, J. Egger
			“A Marker-Less Registration Approach for Mixed Reality–Aided Maxillofacial Surgery: a Pilot Evaluation“
			In: Journal of Digital Imaging, 32, pp. 1008-1018, Sep. 2019. (IF 3.697 (2019))
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))