MML
@ IKIM
About
Projects
Groups
Team
Publications
News
Events
Teaching
Jobs
DE
ESC
All Results
Searching...
No results found
Clear search
↑↓
Navigate
↵
Select
Powered by Hugo Blox
AJ
Alexander Jaus
PhD Student (external)
Institute for AI in Medicine, Germany
Publications
2026
The autoPET3 Challenge: Automated Lesion Segmentation in Whole-Body PET/CT – Multitracer Multicenter Generalization
Jakob Dexl, Katharina Jeblick, Andreas Mittermeier, Balthasar Schachtner, Anna Theresa Stüber, Johanna Topalis, Maximilian R. Rokuss, Fabian Isensee, Klaus Maier-Hein, Hamza Kalisch, Jens Kleesiek, Constantin Seibold, Hussain Alasmawi, Lap Yan Lennon Chan, Yixuan Yuan, Alexander Jaus, Rainer Stiefelhagen, Pauline Ornela Megne Choudja, Konstantin Nikolaou, Christian la Fougère, Sergios Gatidis, Matthias P. Fabritius, Maurice Heimer, Gizem Abaci, Lalith Kumar Shiyam Sundar, Rudolf A. Werner, Jens Ricke, Clemens C. Cyran, Thomas Küstner, Michael Ingrisch
arXiv
GRASPing Anatomy to Improve Pathology Segmentation
Keyi Li, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen
Machine Learning in Medical Imaging
OmniMedSeg: A Large-Scale Standardized Benchmark for Interactive Medical Image Segmentation
Zdravko Marinov, Alexander Jaus, Simon Reiß, Tobias Schlumberger, Jiale Wei, Di Wen, Junwei Zheng, Jens Kleesiek, Rainer Stiefelhagen
2025
MedShapeNet -- A Large-Scale Dataset of 3D Medical Shapes for Computer Vision
Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito, Afaque Rafique Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Kuestner, Nadya Shusharina, Nicholas Heller, Vincent Andrearczyk, Adrien Depeursinge, Mathieu Hatt, Anjany Sekuboyina, Maximilian Loeffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier, Eduardo A. Garza-Villarreal, Thania Balducci, Diego Angeles-Valdez, Roberto Souza, Leticia Rittner, Richard Frayne, Yuanfeng Ji, Soumick Chatterjee, Andreas Nuernberger, Joao Pedrosa, Carlos Ferreira, Guilherme Aresta, Antonio Cunha, Aurelio Campilho, Yannick Suter, Jose Garcia, Alain Lalande, Emmanuel Audenaert, Claudia Krebs, Timo Van Leeuwen, Evie Vereecke, Rainer Roehrig, Frank Hoelzle, Vahid Badeli, Kathrin Krieger, Matthias Gunzer, Jianxu Chen, Amin Dada, Miriam Balzer, Jana Fragemann, Frederic Jonske, Moritz Rempe, Stanislav Malorodov, Fin Hendrik Bahnsen, Constantin Seibold, Alexander Jaus, Ana Sofia Ferreira Santos, Mariana Lindo, André Ferreira, Victor Alves, Michael Kamp, Amr Abourayya, Felix Nensa, Fabian Hoerst, Alexander Brehmer, Lukas Heine, Lars E. Podleska, Matthias A. Fink, Julius Keyl, Konstantinos Tserpes, Moon-Sung Kim, Shireen Elhabian, Hans Lamecker, Dzenan Zukic, Beatriz Paniagua, Christian Wachinger, Martin Urschler, Luc Duong, Jakob Wasserthal, Peter F. Hoyer, Oliver Basu, Thomas Maal, Max J. H. Witjes, Ping Luo, Björn Menze, Mauricio Reyes, Christos Davatzikos, Behrus Puladi, Jens Kleesiek, Jan Egger, Zongwei Zhou, Jiancheng Yang, Chongyu Qu, Tiezheng Zhang, Xiaoxi Chen, Wenxuan Li, Marek Wodzinski, Paul Friedrich, Kangxian Xie, Viet Duc Vu, Christopher Schlachta, Sandrine De Ribaupierre, Rajnikant Patel, Roy Eagleson, Heinrich Mächler, Thomas Küstner, Arcot Sowmya, Vincenzo Ferrari, Florian Dubost, Stefanie Schreiber, Hendrik Mattern, Oliver Speck, Daniel Haehn, Christoph John, Vicky Vandenbossche, Aline Van Oevelen, Kate Duquesne, Hamza Mekhzoum, Jef Vandemeulebroucke, Hauke Heidemeyer, Rainer Röhrig, Frank Hölzle, Timo van Meegdenburg, Zdravko Marinov, Paul F. Jäger, Rainer Stiefelhagen, Fabian Hörst, Yannik Hanusrichter, Martin Weßling, Marcel Dudda, Gregor Schiele, Ti-chiun Chang, Seyed-Ahmad Ahmadi, Thomas M. Deserno, Pascal Fua, Alan L. Yuille
Biomedical Engineering / Biomedizinische Technik
2024
Every Component Counts: Rethinking the Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks
Alexander Jaus, Constantin Seibold, Simon Reiß, Zdravko Marinov, Keyi Li, Zeling Ye, Stefan Krieg, Jens Kleesiek, Rainer Stiefelhagen
The 39th Annual AAAI Conference on Artificial Intelligence
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-Body CT Dataset
Alexander Jaus, Constantin Seibold, Kelsey Hermann, Negar Shahamiri, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
2024 IEEE International Conference on Image Processing (ICIP)
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?
Alexander Jaus, Simon Reiß, Jens Kleesiek, Rainer Stiefelhagen
arXiv
Taking a Step Back: Revisiting Classical Approaches for Efficient Interactive Segmentation of Medical Images
Zdravko Marinov, Alexander Jaus, Jens Kleesiek, Rainer Stiefelhagen
CVPR24 MedSAMonLaptop
Anatomy-Guided Pathology Segmentation
Alexander Jaus, Constantin Seibold, Simon Reiß, Lukas Heine, Anton Schily, Moon-Sung Kim, Fin Hendrik Bahnsen, Ken Herrmann, Rainer Stiefelhagen, Jens Kleesiek
Medical Image Computing and Computer Assisted Intervention – MICCAI 2024
2023
Towards Unifying Anatomy Segmentation: Automated Generation of a Full-body CT Dataset via Knowledge Aggregation and Anatomical Guidelines
Alexander Jaus, Constantin Seibold, Kelsey Hermann, Alexandra Walter, Kristina Giske, Johannes Haubold, Jens Kleesiek, Rainer Stiefelhagen
arXiv
Accurate Fine-Grained Segmentation of Human Anatomy in Radiographs via Volumetric Pseudo-Labeling
Constantin Seibold, Alexander Jaus, Matthias A. Fink, Moon-Sung Kim, Simon Reiß, Ken Herrmann, Jens Kleesiek, Rainer Stiefelhagen
arXiv