Helmut Prosch - RankMe

15 papers Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring. MLMI@MICCAI Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
2025	J	`jnl`	AREPAS: Anomaly Detection in Fine-Grained Anatomy with Reconstruction-Based Semantic Patch-Scoring. CoRR Branko Mitic, Philipp Seeböck, Helmut Prosch, Georg Langs
2025	—	`conf`	Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. AMAI@MICCAI Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
2025	J	`jnl`	Disentanglement of Biological and Technical Factors via Latent Space Rotation in Clinical Imaging Improves Disease Pattern Discovery. CoRR Jeanny Pan, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Jennifer Straub, Lucian Beer, Helmut Prosch, Georg Langs
2025	J	`jnl`	Semantic Mosaicing of Histo-Pathology Image Fragments using Visual Foundation Models. CoRR Stefan Brandstätter, Maximilian Köller, Philipp Seeböck, Alissa Blessing, Felicitas Oberndorfer, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2024	—	`conf`	Detection of Emerging Infectious Diseases in Lung CT Based on Spatial Anomaly Patterns. MLMI@MICCAI (2) Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs
2024	J	`jnl`	Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns. CoRR Branko Mitic, Philipp Seeböck, Jennifer Straub, Helmut Prosch, Georg Langs
2024	—	`conf`	Rigid Single-Slice-in-Volume Registration via Rotation-Equivariant 2D/3D Feature Matching. WBIR Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2024	J	`jnl`	Rigid Single-Slice-in-Volume registration via rotation-equivariant 2D/3D feature matching. CoRR Stefan Brandstätter, Philipp Seeböck, Christoph Fürböck, Svitlana Pochepnia, Helmut Prosch, Georg Langs
2023	J	`jnl`	Navigating the development challenges in creating complex data systems. Nat. Mac. Intell. Sören Dittmer, Michael Roberts, Julian D. Gilbey, Ander Biguri, Ian Selby, Anna Breger, Matthew Thorpe, Jonathan R. Weir-McCall, Effrossyni Gkrania-Klotsas, Anna Korhonen, Emily R. Jefferson, Georg Langs, Guang Yang, Helmut Prosch, Jan Stanczuk, Jing Tang, Judith Babar, Lorena Escudero Sanchez, Philip Teare, Mishal Patel, Marcel Wassin, Markus Holzer, Nicholas Walton, Pietro Lió, Tolou Shadbahr, Evis Sala, Jacobus Preller, James H. F. Rudd, John A. D. Aston, Carola-Bibiane Schönlieb
2021	J	`jnl`	Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics. CoRR Matthias Perkonigg, Johannes Hofmanninger, Christian Herold, Helmut Prosch, Georg Langs
2020	J	`jnl`	Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem. CoRR Johannes Hofmanninger, Florian Prayer, Jeanny Pan, Sebastian Rohrich, Helmut Prosch, Georg Langs
2020	J	`jnl`	Separation of target anatomical structure and occlusions in chest radiographs. CoRR Johannes Hofmanninger, Sebastian Röhrich, Helmut Prosch, Georg Langs
2016	—	`conf`	Unsupervised Identification of Clinically Relevant Clusters in Routine Imaging Data. MICCAI (1) Johannes Hofmanninger, Markus Krenn, Markus Holzer, Thomas Schlegl, Helmut Prosch, Georg Langs
2014	—	`conf`	Longitudinal Alignment of Disease Progression in Fibrosing Interstitial Lung Disease. MICCAI (2) Wolf-Dieter Vogl, Helmut Prosch, Christina Müller-Mang, Ursula Schmidt-Erfurth, Georg Langs