Boolean Modeling of Biological Networks. - Peter M. Krawitz; Ilya Shmulevich (Encyclopedia of Complexity and Systems Science, 2009)

Microindel detection in short-read sequence data. - Peter M. Krawitz; Christian Rödelsperger; Marten Jäger; Luke Jostins; Sebastian Bauer 002; Peter N. Robinson (Bioinform., 2010)

Identity-by-descent filtering of exome sequence data for disease-gene identification in autosomal recessive disorders. - Christian Rödelsperger; Peter M. Krawitz; Sebastian Bauer 002; Jochen Hecht; Abigail W. Bigham; Michael Bamshad; Birgit Jonske de Condor; Michal R. Schweiger; Peter N. Robinson (Bioinform., 2011)

GeneTalk: an expert exchange platform for assessing rare sequence variants in personal genomes. - Tom Kamphans; Peter M. Krawitz (Bioinform., 2012)

Strategies to improve the performance of rare variant association studies by optimizing the selection of controls. - Na Zhu; Verena Heinrich; Thorsten Dickhaus; Jochen Hecht; Peter N. Robinson; Stefan Mundlos; Tom Kamphans; Peter M. Krawitz (Bioinform., 2015)

Challenges ahead for matchmaking. - Peter M. Krawitz (it Inf. Technol., 2016)

A likelihood ratio-based method to predict exact pedigrees for complex families from next-generation sequencing data. - Verena Heinrich; Tom Kamphans; Stefan Mundlos; Peter N. Robinson; Peter M. Krawitz (Bioinform., 2017)

DeepGestalt - Identifying Rare Genetic Syndromes Using Deep Learning. - 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 (CoRR, 2018)

DeepCNV: a deep learning approach for authenticating copy number variations. - Joseph Glessner; Xiurui Hou; Cheng Zhong; Jie Zhang 049; Munir Khan; Fabian Brand; Peter M. Krawitz; Patrick Sleiman; Hakon Hakonarson; Zhi Wei 001 (Briefings Bioinform., 2021)

Knowledge transfer to enhance the performance of deep learning models for automated classification of B cell neoplasms. - 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 (Patterns, 2021)

GenRisk: a tool for comprehensive genetic risk modeling. - Rana Aldisi; Emadeldin Hassanin; Sugirthan Sivalingam; Andreas Buness; Hannah Klinkhammer; Andreas Mayr; Holger Fröhlich; Peter M. Krawitz; Carlo Maj (Bioinform., 2022)

Few-Shot Meta-Learning for Recognizing Facial Phenotypes of Genetic Disorders. - Ömer Sümer; Fabio Hellmann; Alexander Hustinx; Tzung-Chien Hsieh; Elisabeth André; Peter M. Krawitz (MIE, 2023)

Region-based Saliency Explanations on the Recognition of Facial Genetic Syndromes. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (MLHC, 2023)

Improving Deep Facial Phenotyping for Ultra-rare Disorder Verification Using Model Ensembles. - Alexander Hustinx; Fabio Hellmann; Ömer Sümer; Behnam Javanmardi; Elisabeth André; Peter M. Krawitz; Tzung-Chien Hsieh (WACV, 2023)

Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases. - Da Wu; Jingye Yang; Steven Klein; Cong Liu 020; Tzung-Chien Hsieh; Peter M. Krawitz; Chunhua Weng; Gholson J. Lyon; Jennifer M. Kalish; Kai Wang 049 (CoRR, 2023)

Facial Genetic Syndromes Database. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (Zenodo, 2023)

Facial Genetic Syndromes Database. - Ömer Sümer; Rebekah L. Waikel; Suzanna E. Ledgister Hanchard; Dat Duong; Peter M. Krawitz; Cristina Conati; Benjamin D. Solomon; Elisabeth André (Zenodo, 2023)

Approximating facial expression effects on diagnostic accuracy via generative AI in medical genetics. - 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; et al. (Bioinform., 2024)

GANonymization: A GAN-Based Face Anonymization Framework for Preserving Emotional Expressions. - Fabio Hellmann; Silvan Mertes; Mohamed Benouis; Alexander Hustinx; Tzung-Chien Hsieh; Cristina Conati; Peter M. Krawitz; Elisabeth André (ACM Trans. Multim. Comput. Commun. Appl., 2025)