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2020 – today
- 2025
[j11]Fabio Hellmann
, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter M. Krawitz, Elisabeth André:
GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions. ACM Trans. Multim. Comput. Commun. Appl. 21(1): 6:1-6:27 (2025)- 2024
- [j10]Tanviben Patel, Amna A. Othman, Ömer Sümer, Fabio Hellmann, Peter M. Krawitz, Elisabeth André, Molly E. Ripper, Chris Fortney, Susan Persky, Ping Hu, Cedrik Tekendo-Ngongang, Suzanna E. Ledgister Hanchard, Kendall A. Flaharty, Rebekah L. Waikel, Dat Duong, Benjamin D. Solomon:
Approximating facial expression effects on diagnostic accuracy via generative AI in medical genetics. Bioinform. 40(Supplement_1): i110-i118 (2024) - 2023
- [c3]Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter M. Krawitz:
Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders. MIE 2023: 932-936 - [c2]Ömer Sümer, Rebekah L. Waikel, Suzanna E. Ledgister Hanchard, Dat Duong, Peter M. Krawitz, Cristina Conati, Benjamin D. Solomon, Elisabeth André:
Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. MLHC 2023: 712-736 - [c1]Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter M. Krawitz, Tzung-Chien Hsieh:
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. WACV 2023: 5007-5017 - [i5]Fabio Hellmann, Silvan Mertes, Mohamed Benouis, Alexander Hustinx, Tzung-Chien Hsieh, Cristina Conati, Peter M. Krawitz, Elisabeth André:
GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions. CoRR abs/2305.02143 (2023) - [i4]Da Wu, Jingye Yang, Steven Klein, Cong Liu, Tzung-Chien Hsieh, Peter M. Krawitz, Chunhua Weng, Gholson J. Lyon, Jennifer M. Kalish, Kai Wang:
Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases. CoRR abs/2312.15320 (2023) - 2022
- [j9]Rana Aldisi, Emadeldin Hassanin, Sugirthan Sivalingam, Andreas Buness, Hannah Klinkhammer, Andreas Mayr, Holger Fröhlich, Peter M. Krawitz, Carlo Maj:
GenRisk: a tool for comprehensive genetic risk modeling. Bioinform. 38(9): 2651-2653 (2022) - [i3]Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter M. Krawitz:
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders. CoRR abs/2210.12705 (2022) - [i2]Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter M. Krawitz, Tzung-Chien Hsieh:
Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. CoRR abs/2211.06764 (2022) - 2021
- [j8]Joseph Glessner, Xiurui Hou, Cheng Zhong, Jie Zhang, Munir Khan, Fabian Brand, Peter M. Krawitz, Patrick Sleiman, Hakon Hakonarson, Zhi Wei:
DeepCNV: a deep learning approach for authenticating copy number variations. Briefings Bioinform. 22(5) (2021) - [j7]Nanditha Mallesh, Max Xiaohang Zhao, Lisa Meintker, Alexander Höllein, Franz Elsner, Hannes Lüling, Torsten Haferlach, Wolfgang Kern, Jörg Westermann, Peter Brossart, Stefan W. Krause, Peter M. Krawitz:
Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. Patterns 2(10): 100351 (2021)
2010 – 2019
- 2018
- [i1]Yaron Gurovich, Yair Hanani, Omri Bar, Nicole Fleischer, Dekel Gelbman, Lina Basel-Salmon, Peter M. Krawitz, Susanne B. Kamphausen, Martin Zenker, Lynne M. Bird, Karen W. Gripp:
DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning. CoRR abs/1801.07637 (2018) - 2017
- [j6]Verena Heinrich, Tom Kamphans, Stefan Mundlos, Peter N. Robinson, Peter M. Krawitz:
A likelihood ratio-based method to predict exact pedigrees for complex families from next-generation sequencing data. Bioinform. 33(1): 72-78 (2017) - 2016
- [j5]Peter M. Krawitz:
Challenges ahead for matchmaking. it Inf. Technol. 58(3): 140-144 (2016) - 2015
- [j4]Na Zhu, Verena Heinrich, Thorsten Dickhaus, Jochen Hecht, Peter N. Robinson, Stefan Mundlos, Tom Kamphans, Peter M. Krawitz:
Strategies to improve the performance of rare variant association studies by optimizing the selection of controls. Bioinform. 31(22): 3577-3583 (2015) - 2012
- [j3]Tom Kamphans, Peter M. Krawitz:
GeneTalk: an expert exchange platform for assessing rare sequence variants in personal genomes. Bioinform. 28(19): 2515-2516 (2012) - 2011
- [j2]Christian Rödelsperger, Peter M. Krawitz, Sebastian Bauer, Jochen Hecht, Abigail W. Bigham, Michael Bamshad, Birgit Jonske de Condor, Michal R. Schweiger, Peter N. Robinson:
Identity-by-descent filtering of exome sequence data for disease-gene identification in autosomal recessive disorders. Bioinform. 27(6): 829-836 (2011) - 2010
- [j1]Peter M. Krawitz, Christian Rödelsperger, Marten Jäger, Luke Jostins, Sebastian Bauer, Peter N. Robinson:
Microindel detection in short-read sequence data. Bioinform. 26(6): 722-729 (2010)
2000 – 2009
- 2009
- [r1]Peter M. Krawitz, Ilya Shmulevich:
Boolean Modeling of Biological Networks. Encyclopedia of Complexity and Systems Science 2009: 599-608
Coauthor Index
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