Peter Boor - RankMe

39 papers B 1C 1Journal 16Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A systematic analysis of the impact of data variation on AI-based histopathological grading of prostate cancer. Medical Image Anal. Patrick Fuhlert, Fabian Westhaeusser, Esther Dietrich, Maximilian Lennartz, Robin Khatri, Nico Kaiser, Pontus Röbeck, Roman David Bülow, Saskia Von Stillfried, Anja Witte, Sam Ladjevardi, Anders Drotte, Peter Severgårdh, Jan Baumbach, Victor G. Puelles, Michael Häggman, Michael Brehler, Peter Boor, Peter Walhagen, Anca Dragomir, Christer Busch, Markus Graefen, Ewert Bengtsson, Guido Sauter, Marina Zimmermann, Stefan Bonn
2026	J	`jnl`	Explainable histomorphology-based survival prediction of glioblastoma, IDH-wildtype. CoRR Jan-Philipp Redlich, Friedrich Feuerhake, Stefan Nikolin, Nadine Sarah Schaadt, Sarah Teuber-Hanselmann, Joachim Weis, Sabine Luttmann, Andrea Eberle, Christoph Buck, Timm Intemann, Pascal Birnstill, Klaus Kraywinkel, Jonas Ort, Peter Boor, André Homeyer
2025	J	`jnl`	A high-precision hierarchical registration approach for stain- and scanner-independent colocalization on whole slide images in histopathology. Health Inf. Sci. Syst. Tom Bisson, Michael Franz, Tim-Rasmus Kiehl, Peter Boor, Peter Hufnagl, Norman Zerbe
2024	J	`jnl`	Ecologically sustainable benchmarking of AI models for histopathology. npj Digit. Medicine Yu-Chia Lan, Martin Strauch, Pourya Pilva, Nikolas E. J. Schmitz, Alireza Vafaei Sadr, Leon Niggemeier, Huong Quynh Nguyen, David L. Hölscher, Tri Q. Nguyen, Jesper Kers, Roman David Bülow, Peter Boor
2024	J	`jnl`	Joining Forces for Pathology Diagnostics with AI Assistance: The EMPAIA Initiative. CoRR Norman Zerbe, Lars Ole Schwen, Christian Geißler, Katja Wiesemann, Tom Bisson, Peter Boor, Rita Carvalho, Michael Franz, Christoph Jansen, Tim-Rasmus Kiehl, Björn Lindequist, Nora Charlotte Pohlan, Sarah Schmell, Klaus Strohmenger, Falk Zakrzewski, Markus Plass, Michael Takla, Tobias Küster, André Homeyer, Peter Hufnagl
2024	—	`conf`	Utnetpara: A Hybrid CNN-Transformer Architecture with Multi-Scale Fusion for Whole-Slide Image Segmentation. ISBI Boqiang Huang, Jiayu Ying, Ruizhi Lyu, Nadine S. Schaadt, Barbara Mara Klinkhammer, Peter Boor, Johannes Lotz, Friedrich Feuerhake, Dorit Merhof
2024	J	`jnl`	tRigon: an R package and Shiny App for integrative (path-)omics data analysis. BMC Bioinform. David L. Hölscher, Michael Goedertier, Barbara Mara Klinkhammer, Patrick Droste, Ivan G. Costa, Peter Boor, Roman David Bülow
2023	J	`jnl`	Multi-institutional PET/CT image segmentation using federated deep transformer learning. Comput. Methods Programs Biomed. Isaac Shiri, Behrooz Razeghi, Alireza Vafaei Sadr, Mehdi Amini, Yazdan Salimi, Sohrab Ferdowsi, Peter Boor, Deniz Gündüz, Slava Voloshynovskiy, Habib Zaidi
2022	—	`conf`	Analysis of automatically generated embedding guides for cell classification. IPTA Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022	B	`conf`	Automatic Embedding Interventions for the Classification of Hematopoietic Cells. ICPR Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022	J	`jnl`	Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology. Medical Image Anal. Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
2022	J	`jnl`	Erratum to 'Benchmarking weakly-supervised deep learning pipelines for whole slide classification in computational pathology' Medical Image Analysis, Volume 79, July 2022, 102474. Medical Image Anal. Narmin Ghaffari Laleh, Hannah Sophie Muti, Chiara Maria Lavinia Loeffler, Amelie Echle, Oliver Lester Saldanha, Faisal Mahmood, Ming Y. Lu, Christian Trautwein, Rupert Langer, Bastian Dislich, Roman David Bülow, Heike Irmgard Grabsch, Hermann Brenner, Jenny Chang-Claude, Elizabeth Alwers, Titus J. Brinker, Firas Khader, Daniel Truhn, Nadine T. Gaisa, Peter Boor, Michael Hoffmeister, Volkmar Schulz, Jakob Nikolas Kather
2022	—	`conf`	Ordinal Classification and Regression Techniques for Distinguishing Neutrophilic Cell Maturity Stages in Human Bone Marrow. ICPRAI (2) Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2022	J	`jnl`	Recommendations on test datasets for evaluating AI solutions in pathology. CoRR André Homeyer, Christian Geißler, Lars Ole Schwen, Falk Zakrzewski, Theodore Evans, Klaus Strohmenger, Max Westphal, Roman David Bülow, Michaela Kargl, Aray Karjauv, Isidre Munné-Bertran, Carl Orge Retzlaff, Adrià Romero-López, Tomasz Soltysinski, Markus Plass, Rita Carvalho, Peter Steinbach, Yu-Chia Lan, Nassim Bouteldja, David Haber, Mateo Rojas-Carulla, Alireza Vafaei Sadr, Matthias Kraft, Daniel Krüger, Rutger Fick, Tobias Lang, Peter Boor, Heimo Müller, Peter Hufnagl, Norman Zerbe
2022	—	`conf`	Spatial Maturity Regression for the Classification of Hematopoietic Cells. IPTA Philipp Gräbel, Julian Thull, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021	—	`conf`	Guided Representation Learning for the Classification of Hematopoietic Cells. ICCVW Philipp Gräbel, Martina Crysandt, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021	J	`jnl`	Improving Unsupervised Stain-To-Stain Translation using Self-Supervision and Meta-Learning. CoRR Nassim Bouteldja, Barbara Mara Klinkhammer, Tarek Schlaich, Peter Boor, Dorit Merhof
2021	—	`conf`	Reduction of Stain Variability in Bone Marrow Microscopy Images - Influence of Augmentation and Normalization Methods on Detection and Classification of Hematopoietic Cells. Bildverarbeitung für die Medizin Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021	—	`conf`	Rotation Invariance for Unsupervised Cell Representation Learning - Analysis of The Impact of Enforcing Rotation Invariance or Equivariance on Representation for Cell Classification. Bildverarbeitung für die Medizin Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2021	—	`conf`	Surrounding Cell Suppression For Unsupervised Representation Learning In Hematological Cell Classification. ISBI Philipp Gräbel, Ina Laube, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2020	—	`conf`	Circular Anchors for the Detection of Hematopoietic Cells Using Retinanet. ISBI Philipp Gräbel, Özcan Özkan, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2020	—	`conf`	Systematic Analysis And Automated Search Of Hyper-Parameters For Cell Classifier Training. ISBI Workshops Philipp Gräbel, Gregor Nickel, Martina Crysandt, Reinhild Herwartz, Melanie Baumann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2019	J	`jnl`	CNN cascades for segmenting sparse objects in gigapixel whole slide images. Comput. Medical Imaging Graph. Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2019	—	`conf`	GAN-Based Image Enrichment in Digital Pathology Boosts Segmentation Accuracy. MICCAI (1) Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2019	J	`jnl`	Generative Adversarial Networks for Facilitating Stain-Independent Supervised and Unsupervised Segmentation: A Study on Kidney Histology. IEEE Trans. Medical Imaging Michael Gadermayr, Laxmi Gupta, Vitus Appel, Peter Boor, Barbara Mara Klinkhammer, Dorit Merhof
2019	—	`conf`	Iterative learning to make the most of unlabeled and quickly obtained labeled data in histology. MIDL Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2019	—	`conf`	Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. MIDL Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2019	—	`conf`	Virtually Redying Histological Images with Generative Adversarial Networks to Facilitate Unsupervised Segmentation: A Proof-of-Concept Study. ECDP Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor
2018	—	`conf`	Evaluating Out-of-the-Box Methods for the Classification of Hematopoietic Cells in Images of Stained Bone Marrow. COMPAY/OMIA@MICCAI Philipp Gräbel, Martina Crysandt, Reinhild Herwartz, Melanie Hoffmann, Barbara Mara Klinkhammer, Peter Boor, Tim H. Brümmendorf, Dorit Merhof
2018	C	`conf`	Gradual Domain Adaptation for Segmenting Whole Slide Images Showing Pathological Variability. ICISP Michael Gadermayr, Dennis Eschweiler, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2018	—	`conf`	Stain independent segmentation of whole slide images: A case study in renal histology. ISBI Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof, Michael Gadermayr
2018	J	`jnl`	Unsupervisedly Training GANs for Segmenting Digital Pathology with Automatically Generated Annotations. CoRR Michael Gadermayr, Laxmi Gupta, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2018	—	`conf`	Which Way Round? A Study on the Performance of Stain-Translation for Segmenting Arbitrarily Dyed Histological Images. MICCAI (2) Michael Gadermayr, Vitus Appel, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	—	`conf`	A Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney. GCPR Michael Gadermayr, Sean Steven Cooper, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	J	`jnl`	CNN Cascades for Segmenting Whole Slide Images of the Kidney. CoRR Michael Gadermayr, Ann-Kathrin Dombrowski, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2017	J	`jnl`	Segmenting renal whole slide images virtually without training data. Comput. Biol. Medicine Michael Gadermayr, Dennis Eschweiler, Abiramjee Jeevanesan, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2016	—	`conf`	Do We Need Large Annotated Training Data for Detection Applications in Biomedical Imaging? A Case Study in Renal Glomeruli Detection. MLMI@MICCAI Michael Gadermayr, Barbara Mara Klinkhammer, Peter Boor, Dorit Merhof
2016	—	`conf`	Domain Adaptive Classification for Compensating Variability in Histopathological Whole Slide Images. ICIAR Michael Gadermayr, Martin Strauch, Barbara Mara Klinkhammer, Sonja Djudjaj, Peter Boor, Dorit Merhof
2014	—	`conf`	An ImageJ Plugin for Whole Slide Imaging. Bildverarbeitung für die Medizin Daniel Haak, Yusuf Z. Filmwala, Eric Heder, Stephan M. Jonas, Peter Boor, Thomas Martin Deserno