Peter M. Full - Concepedia

Author

Peter M. Full

German Cancer Research Center ORCID

Also Known As

Full, Peter, Full, Peter M., Menze, Bjoern, P Full, Peter Full, Peter M Full, Peter M. Full

Publications

3.1K

Citations

H-Index

Concepts

All Affiliations

German Cancer Research Center Heidelberg University University Hospital Heidelberg National Center for Tumor Diseases University of Calabria

About

Peter M. Full is an author at German Cancer Research Center specializing in engineering, medical image computing, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	2.2K
2	Health Sciences	2	2	2.1K
3	Language Studies	1	1	10
4	Medicine	1	1	22
5	Biostatistics	1	1	54

Peter M. Full

Publications

2.7K

Citations

H-Index

Page 1

	Year	Citations
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? Olivier Bernard, Alain Lalande, Clément Zotti, IEEE Transactions on Medical Imaging Convolutional Neural NetworkMultiple Instance LearningEngineeringMachine LearningDiagnostic Imaging	2018	2.1K
Why rankings of biomedical image analysis competitions should be interpreted with care Lena Maier‐Hein, Matthias Eisenmann, Annika Reinke, Nature Communications	2018	342
Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge Tobias Roß, Annika Reinke, Peter M. Full, Medical Image Analysis	2020	88
MOOD 2020: A Public Benchmark for Out-of-Distribution Detection and Localization on Medical Images David Zimmerer, Peter M. Full, Fabian Isensee, IEEE Transactions on Medical Imaging EngineeringMachine LearningMachine Learning ToolDiagnosisPublic Benchmark	2022	54
Robust Medical Instrument Segmentation Challenge 2019 Annika Reinke, Peter M. Full, Martin Wagner, arXiv (Cornell University) EngineeringMachine LearningGeneralization CapabilitiesSurgeryMedical Instrumentation	2020	33
Adapting Bidirectional Encoder Representations from Transformers (BERT) to Assess Clinical Semantic Textual Similarity: Algorithm Development and Validation Study Klaus Kades, Jan Sellner, Gregor Koehler, JMIR Medical Informatics EngineeringMultilingual PretrainingSemantic SimilarityText MiningWord Embeddings	2020	22
Heidelberg colorectal data set for surgical data science in the sensor operating room Lena Maier‐Hein, Martin Wagner, Annika Reinke, Scientific Data	2021	16
Beyond rankings: Learning (more) from algorithm validation Tobias Roß, Pierangela Bruno, Annika Reinke, Medical Image Analysis Artificial IntelligenceConvolutional Neural NetworkScene AnalysisEngineeringMachine Learning	2023	16
Medical Out-of-Distribution Analysis Challenge David Zimmerer, Jens Petersen, Gregor Köhler, Zenodo (CERN European Organization for Nuclear Research)	2020	10
Fine-tuning BERT Models for Summarizing German Radiology Findings Siting Liang, Klaus Kades, Matthias Fink, Llm Fine-tuningEngineeringDiagnosisLarge Language ModelCorpus Linguistics	2022	10

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