Balint Kovacs

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	전체	2020년 이후
서지정보	42	40
h-index	4	4
i10-index	2	1

20192020202120222023202420252 3 4 7 21 5

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Klaus H. Maier-HeinProfessor, Medical Image Computing, German Cancer Research Centerdkfz.de의 이메일 확인됨
Fabian IsenseeHIP Applied Computer Vision Lab, Division of Medical Image Computing, German Cancer Research Centerdkfz-heidelberg.de의 이메일 확인됨
Michael BaumgartnerDKFZ Heidelbergdkfz.de의 이메일 확인됨
Paul F. JaegerInteractive Machine Learning Research Group at DKFZdkfz.de의 이메일 확인됨
Ralf FlocaMedical Image Computing, German Cancer Research Center (DKFZ)dkfz-heidelberg.de의 이메일 확인됨
David BonekampGerman Cancer Research Centerdkfz-heidelberg.de의 이메일 확인됨
Robert HorvathHead of Nanobiosensorics Lab at HUN-REN EK MFA (for group members click on nanobiosensorics)mfa.kfki.hu의 이메일 확인됨
Markus HohenfellnerUniversity of Heidelbergmed.uni-heidelberg.de의 이메일 확인됨
Ivo WolfUniversity of Applied Sciences Mannheimhs-mannheim.de의 이메일 확인됨
Albrecht Stenzinger, MDInstitute of Pathology, University Hospital Heidelberg, Germanymed.uni-heidelberg.de의 이메일 확인됨
Martina GerkenProfessor of Electrical Engineering, Kiel Universitytf.uni-kiel.de의 이메일 확인됨
Zsolt SzabóITK PPKEitk.ppke.hu의 이메일 확인됨
Simon StockKarlsruhe Institute of Technologykit.edu의 이메일 확인됨
Alexandre Armengol-UrpiPostdoc at MITmit.edu의 이메일 확인됨
Wilhelm StorkProfessor für Elektrotechnik, Karlsruher Institut für Technologiekit.edu의 이메일 확인됨
Sanjay SarmaProfessor of Mechanical Engineering, MITmit.edu의 이메일 확인됨
Marius GerdesPhD Student, Karlsruhe Institute of Technologykit.edu의 이메일 확인됨
Peter NeherMedical Image Computing (MIC), German Cancer Research Center (DKFZ)dkfz-heidelberg.de의 이메일 확인됨
Deepa KrishnaswamyInstructor in Radiology at Brigham and Women's Hospitalbwh.harvard.edu의 이메일 확인됨
David CluniePixelMed Publishingdclunie.com의 이메일 확인됨

팔로우

Balint Kovacs

PhD Student, Division of Medical Image Computing, German Cancer Research Center (DKFZ) Heidelberg

dkfz-heidelberg.de의 이메일 확인됨

medical image analysis biosensorics electronics & biomedical engineering


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Near cut-off wavelength operation of resonant waveguide grating biosensors B Kovacs, FA Kraft, Z Szabo, Y Nazirizadeh, M Gerken, R Horvath Scientific reports 11 (1), 13091, 2021	11	2021
A system approach for closed-loop assessment of neuro-visual function based on convolutional neural network analysis of EEG signals SC Stock, A Armengol-Urpi, B Kovács, H Maier, M Gerdes, W Stork, ... Neurophotonics 11360, 1136008, 2020	10	2020
Skeleton recall loss for connectivity conserving and resource efficient segmentation of thin tubular structures Y Kirchhoff, MR Rokuss, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ... European Conference on Computer Vision, 218-234, 2024	9	2024
Anatomy-informed data augmentation for enhanced prostate cancer detection B Kovacs, N Netzer, M Baumgartner, C Eith, D Bounias, C Meinzer, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023	5	2023
Addressing image misalignments in multi-parametric prostate MRI for enhanced computer-aided diagnosis of prostate cancer B Kovacs, N Netzer, M Baumgartner, A Schrader, F Isensee, C Weißer, ... Scientific Reports 13 (1), 19805, 2023	4	2023
Modeling of Label‐Free Optical Waveguide Biosensors with Surfaces Covered Partially by Vertically Homogeneous and Inhomogeneous Films B Kovacs, R Horvath Journal of Sensors 2019 (1), 1762450, 2019	2	2019
Longitudinal segmentation of MS lesions via temporal Difference Weighting M Rokuss, Y Kirchhoff, S Roy, B Kovacs, C Ulrich, T Wald, M Zenk, ... arXiv preprint arXiv:2409.13416, 2024	1	2024
Enhancing deep learning methods for brain metastasis detection through cross-technique annotations on SPACE MRI T Wald, B Hamm, JC Holzschuh, R El Shafie, A Kudak, B Kovacs, I Pflüger, ... European Radiology Experimental 9, 15, 2025		2025
Enhancing the diagnostic capacity of [¹⁸F]PSMA-1007 PET/MRI in primary prostate cancer staging with artificial intelligence and semi-quantitative DCE: an … PA Glemser, M Freitag, B Kovacs, N Netzer, A Dimitrakopoulou-Strauss, ... EJNMMI reports 8 (1), 37, 2024		2024
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation Challenge B Kovacs, S Xiao, M Rokuss, C Ulrich, F Isensee, KH Maier-Hein arXiv preprint arXiv:2409.10120, 2024		2024
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT Imaging M Rokuss, B Kovacs, Y Kirchhoff, S Xiao, C Ulrich, KH Maier-Hein, ... arXiv preprint arXiv:2409.09478, 2024		2024
Automatic classification of prostate MR series type using image content and metadata D Krishnaswamy, B Kovács, S Denner, S Pieper, D Clunie, CP Bridge, ... arXiv preprint arXiv:2404.10892, 2024		2024
Object Detection for Breast Diffusion-weighted Imaging D Bounias, M Baumgartner, P Neher, B Kovacs, R Floca, PF Jaeger, ... BVM Workshop, 334-334, 2024		2024
Risk-adjusted Training and Evaluation for Medical Object Detection in Breast Cancer MRI D Bounias, M Baumgartner, P Neher, B Kovacs, R Floca, PF Jaeger, ... ICML 3rd Workshop on Interpretable Machine Learning in Healthcare (IMLH), 0

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