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ORCIDFelix Nensa
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2020 – today
- 2024
[j8]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: 107912 (2024)- [j7]Jessica Swoboda, Moritz Albert, Catharina Lena Beckmann, Georg Christian Lodde, Elisabeth Livingstone, Felix Nensa, Dirk Schadendorf, Britta Böckmann:
The Mappability of Clinical Real-World Data of Patients with Melanoma to Oncological Fast Healthcare Interoperability Resources (FHIR) Profiles: A Single-Center Interoperability Study. Informatics 11(3): 42 (2024) - [j6]Katrin Klug, Katharina Beckh, Dario Antweiler, Nilesh Chakraborty, Giulia Baldini, Katharina Laue, René Hosch, Felix Nensa, Martin Schuler, Sven Giesselbach:
From admission to discharge: a systematic review of clinical natural language processing along the patient journey. BMC Medical Informatics Decis. Mak. 24(1): 238 (2024) - [c6]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: 3654-3665 - [i10]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 abs/2404.05694 (2024) - [i9]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 abs/2405.10004 (2024) - [i8]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 abs/2407.08878 (2024) - [i7]Camila González, Moritz Fuchs, Daniel Pinto dos Santos, Philipp Matthies, Manuel Trenz, Maximilian Grüning, Akshay Chaudhari, David B. Larson, Ahmed E. Othman, Moon Kim, Felix Nensa, Anirban Mukhopadhyay:
Regulating radiology AI medical devices that evolve in their lifecycle. CoRR abs/2412.20498 (2024) - 2023
- [j5]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): 104 (2023) - [j4]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: 107083 (2023) - [j3]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: 101432 (2023) - [d2]Johannes Rückert, Christoph Balada, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba Garcia 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. Version 2.0. Zenodo, 2023 [all versions]
- [d1]Johannes Rückert, Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, Henning Schäfer, Cynthia S. Schmidt, Sven Koitka, Obioma Pelka, Asma Ben Abacha, Alba Garcia 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. Version 2.0.1. Zenodo, 2023 [all versions] - [i6]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 abs/2306.17555 (2023) - 2022
- [j2]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): 5346 (2022) - [i5]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 abs/2205.09706 (2022) - [i4]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 abs/2211.14051 (2022) - [i3]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 Sundaram Cook, David Bericat, Matthew P. Lungren, Risto Haukioja, Haris Shuaib:
Current State of Community-Driven Radiological AI Deployment in Medical Imaging. CoRR abs/2212.14177 (2022) - 2021
- [i2]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 abs/2112.00661 (2021) - 2020
- [j1]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: 101743 (2020) - [i1]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 abs/2002.10776 (2020)
2010 – 2019
- 2019
- [c5]Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Variations on Branding with Text Occurrence for Optimized Body Parts Classification. EMBC 2019: 890-894 - [c4]Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. ICCV Workshops 2019: 467-475 - 2018
- [c3]Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. BIOIMAGING 2018: 179-187 - [c2]Obioma Pelka, Felix Nensa, Christoph M. Friedrich:
Optimizing Body Region Classification with Deep Convolutional Activation Features. ECCV Workshops (4) 2018: 699-704 - [c1]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: 180-189
Coauthor Index
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