** = Publications listed in SCI/SSCI/Pubmed
** Hadzic, A; Urschler, M; Press, JA; Riedl, R; Rugani, P; Štern, D; Kirnbauer, B
Evaluating a Periapical Lesion Detection CNN on a Clinically Representative CBCT Dataset-A Validation Study.
J Clin Med. 2023; 13(1):
Doi: 10.3390/jcm13010197
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** Bayat, A; Pace, DF; Sekuboyina, A; Payer, C; Stern, D; Urschler, M; Kirschke, JS; Menze, BH
Anatomy-Aware Inference of the 3D Standing Spine Posture from 2D Radiographs.
Tomography. 2022; 8(1): 479-496.
Doi: 10.3390/tomography8010039
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** Kirnbauer, B; Hadzic, A; Jakse, N; Bischof, H; Stern, D
Automatic Detection of Periapical Osteolytic Lesions on Cone-beam Computed Tomography Using Deep Convolutional Neuronal Networks.
J Endod. 2022; 48(11):1434-1440
Doi: 10.1016/j.joen.2022.07.013
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** Ma, J; Zhang, Y; Gu, S; An, XL; Wang, ZH; Ge, C; Wang, CC; Zhang, F; Wang, Y; Xu, YA; Gou, SP; Thaler, F; Payer, C; Stern, D; Henderson, EGA; McSweeney, DM; Green, A; Jackson, P; McIntosh, L; Nguyen, QC; Qayyum, A; Conze, PH; Huang, ZY; Zhou, ZQ; Fan, DP; Xiong, H; Dong, GQ; Zhu, QJ; He, J; Yang, XP
Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge
MED IMAGE ANAL. 2022; 82: 102616
Doi: 10.1016/j.media.2022.102616
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** Gillette, K; Gsell, MAF; Prassl, AJ; Karabelas, E; Reiter, U; Reiter, G; Grandits, T; Payer, C; Štern, D; Urschler, M; Bayer, JD; Augustin, CM; Neic, A; Pock, T; Vigmond, EJ; Plank, G
A Framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs.
Med Image Anal. 2021; 71:102080
Doi: 10.1016/j.media.2021.102080
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** Hepp, T; Blum, D; Armanious, K; Scholkopf, B; Stern, D; Yang, B; Gatidis, S
Uncertainty estimation and explainability in deep learning-based age estimation of the human brain: Results from the German National Cohort MRI study
COMPUT MED IMAG GRAP. 2021; 92: 101967
Doi: 10.1016/j.compmedimag.2021.101967
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** Sekuboyina, A; Husseini, ME; Bayat, A; Löffler, M; Liebl, H; Li, H; Tetteh, G; Kukačka, J; Payer, C; Štern, D; Urschler, M; Chen, M; Cheng, D; Lessmann, N; Hu, Y; Wang, T; Yang, D; Xu, D; Ambellan, F; Amiranashvili, T; Ehlke, M; Lamecker, H; Lehnert, S; Lirio, M; Olaguer, NP; Ramm, H; Sahu, M; Tack, A; Zachow, S; Jiang, T; Ma, X; Angerman, C; Wang, X; Brown, K; Kirszenberg, A; Puybareau, É; Chen, D; Bai, Y; Rapazzo, BH; Yeah, T; Zhang, A; Xu, S; Hou, F; He, Z; Zeng, C; Xiangshang, Z; Liming, X; Netherton, TJ; Mumme, RP; Court, LE; Huang, Z; He, C; Wang, LW; Ling, SH; Huỳnh, LD; Boutry, N; Jakubicek, R; Chmelik, J; Mulay, S; Sivaprakasam, M; Paetzold, JC; Shit, S; Ezhov, I; Wiestler, B; Glocker, B; Valentinitsch, A; Rempfler, M; Menze, BH; Kirschke, JS
VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.
MED IMAGE ANAL. 2021; 73: 102166
Doi: 10.1016/j.media.2021.102166
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** Payer, C; Štern, D; Bischof, H; Urschler, M
Integrating spatial configuration into heatmap regression based CNNs for landmark localization.
Med Image Anal. 2019; 54:207-219
Doi: 10.1016/j.media.2019.03.007
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** Payer, C; Štern, D; Feiner, M; Bischof, H; Urschler, M
Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks.
Med Image Anal. 2019; 57:106-119
Doi: 10.1016/j.media.2019.06.015
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** Stern, D; Payer, C; Giuliani, N; Urschler, M
Automatic Age Estimation and Majority Age Classification From Multi-Factorial MRI Data.
IEEE J Biomed Health Inform. 2019; 23(4):1392-1403
Doi: 10.1109/JBHI.2018.2869606
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** Štern, D; Payer, C; Urschler, M
Automated age estimation from MRI volumes of the hand.
Med Image Anal. 2019; 58:101538
Doi: 10.1016/j.media.2019.101538
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** Zhuang, X; Li, L; Payer, C; Štern, D; Urschler, M; Heinrich, MP; Oster, J; Wang, C; Smedby, Ö; Bian, C; Yang, X; Heng, PA; Mortazi, A; Bagci, U; Yang, G; Sun, C; Galisot, G; Ramel, JY; Brouard, T; Tong, Q; Si, W; Liao, X; Zeng, G; Shi, Z; Zheng, G; Wang, C; MacGillivray, T; Newby, D; Rhode, K; Ourselin, S; Mohiaddin, R; Keegan, J; Firmin, D; Yang, G
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge.
Med Image Anal. 2019; 58:101537
Doi: 10.1016/j.media.2019.101537
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** Urschler, M; Ebner, T; Štern, D
Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization.
Med Image Anal. 2018; 43:23-36
Doi: 10.1016/j.media.2017.09.003
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** Zheng, G; Chu, C; Belavý, DL; Ibragimov, B; Korez, R; Vrtovec, T; Hutt, H; Everson, R; Meakin, J; Andrade, IL; Glocker, B; Chen, H; Dou, Q; Heng, PA; Wang, C; Forsberg, D; Neubert, A; Fripp, J; Urschler, M; Stern, D; Wimmer, M; Novikov, AA; Cheng, H; Armbrecht, G; Felsenberg, D; Li, S
Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge.
Med Image Anal. 2017; 35:327-344
Doi: 10.1016/j.media.2016.08.005
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** Martinčič, D; Brojan, M; Kosel, F; Štern, D; Vrtovec, T; Antolič, V; Vengust, R
Minimum cement volume for vertebroplasty.
Int Orthop. 2015; 39(4):727-733
Doi: 10.1007/s00264-014-2620-7
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** Urschler, M; Grassegger, S; Štern, D
What automated age estimation of hand and wrist MRI data tells us about skeletal maturation in male adolescents.
Ann Hum Biol. 2015; 42(4):358-367
Doi: 10.3109/03014460.2015.1043945
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** Ebner, T; Stern, D; Donner, R; Bischof, H; Urschler, M
Towards automatic bone age estimation from MRI: localization of 3D anatomical landmarks.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):421-428
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** Stern, D; Ebner, T; Bischof, H; Grassegger, S; Ehammer, T; Urschler, M
Fully automatic bone age estimation from left hand MR images.
Med Image Comput Comput Assist Interv. 2014; 17(Pt 2):220-227
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** Stern, D; Njagulj, V; Likar, B; Pernuš, F; Vrtovec, T
Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D.
Osteoporos Int. 2013; 24(4):1357-1368
Doi: 10.1007/s00198-012-2089-4
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** Stern, D; Likar, B; Pernuš, F; Vrtovec, T
Parametric modelling and segmentation of vertebral bodies in 3D CT and MR spine images.
Phys Med Biol. 2011; 56(23):7505-7522
Doi: 10.1088/0031-9155/56/23/011
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** Stern, D; Likar, B; Pernus, F; Vrtovec, T
Automated detection of spinal centrelines, vertebral bodies and intervertebral discs in CT and MR images of lumbar spine.
Phys Med Biol. 2010; 55(1):247-264
Doi: 10.1088/0031-9155/55/1/015
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