Peter M. Krawitz

According to our database, Peter M. Krawitz authored at least 17 papers between 2009 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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., January, 2025

2024

Approximating facial expression effects on diagnostic accuracy <i>via</i> 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, Kendall A. Flaharty, Rebekah L. Waikel, Dat Duong, Benjamin D. Solomon

Bioinform., 2024

2023

Multimodal Machine Learning Combining Facial Images and Clinical Texts Improves Diagnosis of Rare Genetic Diseases.

Da Wu, Jingye Yang, Steven Klein, Cong Liu, Tzung-Chien Hsieh, Peter M. Krawitz, Chunhua Weng, Gholson J. Lyon, Jennifer M. Kalish, Kai Wang

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the Machine Learning for Healthcare Conference, 2023

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

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022

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

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

DeepCNV: a deep learning approach for authenticating copy number variations.

Joseph Glessner, Xiurui Hou, Cheng Zhong, Jie Zhang, Munir Khan, Fabian Brand, Peter M. Krawitz, Patrick Sleiman, Hakon Hakonarson, Zhi Wei

Briefings Bioinform., 2021

2018

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

2017

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

2016

Challenges ahead for matchmaking.

Peter M. Krawitz

it Inf. Technol., 2016

2015

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

2012

GeneTalk: an expert exchange platform for assessing rare sequence variants in personal genomes.

Tom Kamphans, Peter M. Krawitz

Bioinform., 2012

2011

Identity-by-descent filtering of exome sequence data for disease-gene identification in autosomal recessive disorders.

Christian Rödelsperger, Peter M. Krawitz, Sebastian Bauer, Jochen Hecht, Abigail W. Bigham, Michael Bamshad, Birgit Jonske de Condor, Michal R. Schweiger, Peter N. Robinson

Bioinform., 2011

2010

Microindel detection in short-read sequence data.

Peter M. Krawitz, Christian Rödelsperger, Marten Jäger, Luke Jostins, Sebastian Bauer, Peter N. Robinson

Bioinform., 2010

2009

Boolean Modeling of Biological Networks.

Peter M. Krawitz, Ilya Shmulevich

Proceedings of the Encyclopedia of Complexity and Systems Science, 2009