Scientific Publications Search Search Author Impact Factor Release Date Research Group Search Sort by RelevanceFrom A-ZAuthored onDate/Time RangeRelease date Order AscDesc Albrecht, Jan Philipp (1) Beule, Dieter Dr. (1) Franzen, Jannik Moritz (1) Gotthardt, Michael Prof. Dr. (1) Guarino, Vanessa Emanuela (3) Guignard, Leo Dr. (3) Haucke, Volker Professor (1) Hinze, Christian Dr. med. Dipl.-Math. (1) Jüttner, Rene Dr. (1) Kainmüller, Dagmar Prof. Dr. (44) Landthaler, Markus Prof. Dr. (1) Mais, Lisa (5) Obermayer-Wasserscheid, Benedikt Dr. (1) Preibisch, Stephan Dr. (2) Rathjen, Fritz Prof. Dr. (1) Winklmayr, Claudia Simone (1) Wyler, Emanuel Dr. (1) Yu, Xiaoyan (1) (-) Rumberger, Josef Lorenz (6) 2021 (1) 2022 (2) 2023 (2) 2024 (1) Biobank (4) (-) Biomedical Image Analysis (6) Genetics and Genomics of Cardiovascular Diseases (43) Genomics (2) Host-microbiome factors in cardiovascular disease (4) Image Data Analysis (1) Molecular Epidemiology (4) Molecular Genetics of Chronic Inflammation and Allergic Disease (84) Out-patient Clinic for Pediatric Allergology and Atopic Dermatitis (84) Proteomics and Metabolomics (6) Systems Biology Imaging (1) Translational Bioinformatics (1) Translational Organ Models (1) 6 Results: Active Filter: Rumberger, Josef LorenzBiomedical Image Analysis Sort: Result score Newest to oldest Oldest to newest January 01, 2021 / Lect Notes Comput Sci Probabilistic deep learning for instance segmentation J.L. Rumberger L. Mais D. Kainmueller February 28, 2022 How shift equivariance impacts metric learning for instance segmentation J.L. Rumberger X. Yu P. Hirsch M. Dohmen V.E. Guarino A. Mokarian L. Mais J. Funke D. Kainmueller August 17, 2022 / 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC) Panoptic segmentation with highly imbalanced semantic labels J.L. Rumberger E. Baumann P. Hirsch A. Janowczyk I. Zlobec D. Kainmueller February 01, 2024 / Med Image Anal CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S. Graham Q.D. Vu M. Jahanifar M. Weigert U. Schmidt W. Zhang J. Zhang S. Yang J. Xiang X. Wang J.L. Rumberger E. Baumann P. Hirsch L. Liu C. Hong A.I. Aviles-Rivero A. Jain H. Ahn Y. Hong H. Azzuni M. Xu M. Yaqub M.C. Blache B. Piégu B. Vernay T. Scherr M. Böhland K. Löffler J. Li W. Ying C. Wang D. Snead S.E.A. Raza F. Minhas N.M. Rajpoot December 25, 2023 ACTIS: improving data efficiency by leveraging semi-supervised augmentation consistency training for instance segmentation J.L. Rumberger J. Franzen P. Hirsch J.P. Albrecht D. Kainmueller August 01, 2023 / Nat Commun Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering C.C. Liu N.F. Greenwald A. Kong E.F. McCaffrey K.X. Leow D. Mrdjen B.J. Cannon J.L. Rumberger S.R. Varra M. Angelo
January 01, 2021 / Lect Notes Comput Sci Probabilistic deep learning for instance segmentation J.L. Rumberger L. Mais D. Kainmueller
February 28, 2022 How shift equivariance impacts metric learning for instance segmentation J.L. Rumberger X. Yu P. Hirsch M. Dohmen V.E. Guarino A. Mokarian L. Mais J. Funke D. Kainmueller
August 17, 2022 / 2022 IEEE International Symposium on Biomedical Imaging Challenges (ISBIC) Panoptic segmentation with highly imbalanced semantic labels J.L. Rumberger E. Baumann P. Hirsch A. Janowczyk I. Zlobec D. Kainmueller
February 01, 2024 / Med Image Anal CoNIC Challenge: Pushing the frontiers of nuclear detection, segmentation, classification and counting S. Graham Q.D. Vu M. Jahanifar M. Weigert U. Schmidt W. Zhang J. Zhang S. Yang J. Xiang X. Wang J.L. Rumberger E. Baumann P. Hirsch L. Liu C. Hong A.I. Aviles-Rivero A. Jain H. Ahn Y. Hong H. Azzuni M. Xu M. Yaqub M.C. Blache B. Piégu B. Vernay T. Scherr M. Böhland K. Löffler J. Li W. Ying C. Wang D. Snead S.E.A. Raza F. Minhas N.M. Rajpoot
December 25, 2023 ACTIS: improving data efficiency by leveraging semi-supervised augmentation consistency training for instance segmentation J.L. Rumberger J. Franzen P. Hirsch J.P. Albrecht D. Kainmueller
August 01, 2023 / Nat Commun Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering C.C. Liu N.F. Greenwald A. Kong E.F. McCaffrey K.X. Leow D. Mrdjen B.J. Cannon J.L. Rumberger S.R. Varra M. Angelo