Alexander Valentinitsch

20 papers A* 1B 1Journal 10Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint). AAAI Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser
2025	J	`jnl`	Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. J. Artif. Intell. Res. Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Moser
2025	J	`jnl`	Operator-Theoretic Framework for Gradient-Free Federated Learning. CoRR Mohit Kumar, Mathias Brucker, Alexander Valentinitsch, Adnan Husakovic, Ali Abbas, Manuela Geiß, Bernhard Moser
2024	J	`jnl`	Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent. CoRR Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser
2021	J	`jnl`	VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2020	J	`jnl`	VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2019	J	`jnl`	Adversarially Learning a Local Anatomical Prior: Vertebrae Labelling with 2D reformations. CoRR Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
2019	—	`conf`	Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. MICCAI (6) Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze
2019	J	`jnl`	Probabilistic Point Cloud Reconstructions for Vertebral Shape Analysis. CoRR Anjany Sekuboyina, Markus Rempfler, Alexander Valentinitsch, Maximilian Löffler, Jan S. Kirschke, Bjoern H. Menze
2018	—	`conf`	Btrfly Net: Vertebrae Labelling with Energy-Based Adversarial Learning of Local Spine Prior. MICCAI (4) Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
2018	J	`jnl`	Btrfly Net: Vertebrae Labelling with Energy-based Adversarial Learning of Local Spine Prior. CoRR Anjany Sekuboyina, Markus Rempfler, Jan Kukacka, Giles Tetteh, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
2017	J	`jnl`	A Localisation-Segmentation Approach for Multi-label Annotation of Lumbar Vertebrae using Deep Nets. CoRR Anjany Sekuboyina, Alexander Valentinitsch, Jan S. Kirschke, Bjoern H. Menze
2017	—	`conf`	Attention-Driven Deep Learning for Pathological Spine Segmentation. MSKI@MICCAI Anjany Sekuboyina, Jan Kukacka, Jan S. Kirschke, Bjoern H. Menze, Alexander Valentinitsch
2017	—	`conf`	Multi-modal Image Classification Using Low-Dimensional Texture Features for Genomic Brain Tumor Recognition. GRAIL/MFCA/MICGen@MICCAI Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler, Claus Zimmer, Bjoern H. Menze
2017	—	`conf`	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D Convolutional Neural Networks. ISBI Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
2017	J	`jnl`	SurvivalNet: Predicting patient survival from diffusion weighted magnetic resonance images using cascaded fully convolutional and 3D convolutional neural networks. CoRR Patrick Ferdinand Christ, Florian Ettlinger, Georgios Kaissis, Sebastian Schlecht, Freba Ahmaddy, Felix Grün, Alexander Valentinitsch, Seyed-Ahmad Ahmadi, Rickmer Braren, Bjoern H. Menze
2015	—	`conf`	Hierarchical Multi-Organ Segmentation Without Registration in 3D Abdominal CT Images. MCV@MICCAI Vasileios Zografos, Alexander Valentinitsch, Markus Rempfler, Federico Tombari, Bjoern H. Menze
2015	B	`conf`	Trabecular bone class mapping across resolutions: translating methods from HR-pQCT to clinical CT. Image Processing Alexander Valentinitsch, Lukas Fischer, Janina Patsch, Jan Bauer, Franz Kainberger, Georg Langs, Matthew D. DiFranco
2010	—	`conf`	Texture Analysis in Quantitative Osteoporosis Assessment. Bildverarbeitung für die Medizin Alexander Valentinitsch, Janina Patsch, Dirk Mueller, Franz Kainberger, Georg Langs
2010	—	`conf`	Texture analysis in quantitative osteoporosis assessment: characterizing microarchitecture. ISBI Alexander Valentinitsch, Janina Patsch, Dirk Mueller, Franz Kainberger, Georg Langs