Felix Nensa

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Convolutional Neural Networks

Text Understanding

Semantic Segmentation

Top Venues

Medical Image Anal.

Publications

Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. CoRR (2024)
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. Comput. Methods Programs Biomed. 243 (2024)
Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich
Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding. LREC/COLING (2024)
Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba García Seco de Herrera, Henning Müller, Peter A. Horn, Felix Nensa, Christoph M. Friedrich
ROCOv2: Radiology Objects in COntext Version 2, an Updated Multimodal Image Dataset. CoRR (2024)
Sven Koitka, Giulia Baldini, Cynthia S. Schmidt, Olivia B. Pollok, Obioma Pelka, Judith Kohnke, Katarzyna Borys, Christoph M. Friedrich, Benedikt M. Schaarschmidt, Michael Forsting, Lale Umutlu, Johannes Haubold, Felix Nensa, René Hosch
SALT: Introducing a Framework for Hierarchical Segmentations in Medical Imaging using Softmax for Arbitrary Label Trees. CoRR (2024)
Marc Fischer, Thomas Küstner, Sofia Pappa, Thoralf Niendorf, Tobias Pischon, Thomas Kröncke, Stefanie Bette, Sara Schramm, Börge Schmidt, Johannes Haubold, Felix Nensa, Tobias Nonnenmacher, Viktoria Palm, Fabian Bamberg, Lena Kiefer, Fritz Schick, Bin Yang
Identification of radiomic biomarkers in a set of four skeletal muscle groups on Dixon MRI of the NAKO MR study. BMC Medical Imaging 23 (1) (2023)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon S. Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-source skull reconstruction with MONAI. SoftwareX 23 (2023)
Frederic Jonske, Moon S. Kim, Enrico Nasca, Janis Evers, Johannes Haubold, René Hosch, Felix Nensa, Michael Kamp, Constantin Seibold, Jan Egger, Jens Kleesiek
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundaries. CoRR (2023)
Daniel Sauter, Georg Lodde, Felix Nensa, Dirk Schadendorf, Elisabeth Livingstone, Markus Kukuk
Deep learning in computational dermatopathology of melanoma: A technical systematic literature review. Comput. Biol. Medicine 163 (2023)
Daniel Sauter, Georg Lodde, Felix Nensa, Dirk Schadendorf, Elisabeth Livingstone, Markus Kukuk
Validating Automatic Concept-Based Explanations for AI-Based Digital Histopathology. Sensors 22 (14) (2022)
Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kröninger, Jan Egger, Jens Kleesiek
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping. CoRR (2022)
Vikash Gupta, Barbaros Selnur Erdal, Carolina Ramirez, Ralf Floca, Laurence Jackson, Brad W. Genereaux, Sidney Bryson, Christopher P. Bridge, Jens Kleesiek, Felix Nensa, Rickmer Braren, Khaled Younis, Tobias Penzkofer, Andreas Michael Bucher, Ming Melvin Qin, Gigon Bae, M. Jorge Cardoso, Sébastien Ourselin, Eric Kerfoot, Rahul Choudhury, Richard D. White, Tessa Cook, David Bericat, Matthew Lungren, Risto Haukioja, Haris Shuaib
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR (2022)
Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon-Sung Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
Open-Source Skull Reconstruction with MONAI. CoRR (2022)
Frederic Jonske, Maximilian Dederichs, Moon-Sung Kim, Jan Egger, Lale Umutlu, Michael Forsting, Felix Nensa, Jens Kleesiek
MOMO - Deep Learning-driven classification of external DICOM studies for PACS archivation. CoRR (2021)
Sven Koitka, Moon S. Kim, Ming Qu, Asja Fischer, Christoph M. Friedrich, Felix Nensa
Mimicking the radiologists' workflow: Estimating pediatric hand bone age with stacked deep neural networks. Medical Image Anal. 64 (2020)
Sven Koitka, Lennard Kroll, Eugen Malamutmann, Arzu Oezcelik, Felix Nensa
Fully-automated Body Composition Analysis in Routine CT Imaging Using 3D Semantic Segmentation Convolutional Neural Networks. CoRR (2020)
Obioma Pelka, Felix Nensa, Christoph M. Friedrich
Variations on Branding with Text Occurrence for Optimized Body Parts Classification. EMBC (2019)
Obioma Pelka, Felix Nensa, Christoph M. Friedrich
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. ICCV Workshops (2019)
Obioma Pelka, Felix Nensa, Christoph M. Friedrich
Optimizing Body Region Classification with Deep Convolutional Activation Features. ECCV Workshops (4) (2018)
Obioma Pelka, Felix Nensa, Christoph M. Friedrich
Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. BIOIMAGING (2018)
Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich
Radiology Objects in COntext (ROCO): A Multimodal Image Dataset. CVII-STENT/LABELS@MICCAI (2018)