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Stella C. Christopoulou

Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger

Lennart Schmies, Matthias Hemmleb, Dirk Bettge

Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek

André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger

Reiko Akiyama, Takao Goto, Toshiaki Tameshige, Jiro Sugisaka, Ken Kuroki, Jianqiang Sun, Junichi Akita, Masaomi Hatakeyama, Hiroshi Kudoh, Tanaka Kenta, Aya Tonouchi, Yuki Shimahara, Jun Sese, Natsumaro Kutsuna, Rie Shimizu-Inatsugi, Kentaro K. Shimizu

Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek

Ivars Namatēvs, Artūrs Ņikuļins, Anda Slaidiņa, Laura Neimane, Oskars Radziņš, Kaspars Sudars

Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek

Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen

Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger

Valdivino Alexandre de Santiago Júnior

Jingyue Zhang, Xudong Cui, Chong Yang, Diansheng Zhong, Yinjuan Sun, Xiaoxiong Yue, Gaoshuang Lan, Linlin Zhang, Liangfu Lu, Hengjie Yuan

Catalina Mercedes Burlacu, Adrian Constantin Burlacu, Mirela Praisler

Aswathy Ravikumar, Harini Sriraman, P. Maruthi Sai Saketh, Saddikuti Lokesh, Abhiram Karanam

Lukas Radl, Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jan Egger

Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek

2024	Machine Learning Models and Technologies for Evidence-Based Telehealth and Smart Care: A Review BioMedInformatics Stella C. Christopoulou
2024	Lecture Notes in Computer Science Gian Marco Melito, Antonio Pepe, Alireza Jafarinia, Thomas Krispel, Jan Egger
2024	Relevant input data for crack feature segmentation with deep learning on SEM imagery and topography data Engineering Failure Analysis Lennart Schmies, Matthias Hemmleb, Dirk Bettge
2024	k-strip: A novel segmentation algorithm in k-space for the application of skull stripping Computer Methods and Programs in Biomedicine Moritz Rempe, Florian Mentzel, Kelsey L. Pomykala, Johannes Haubold, Felix Nensa, Kevin Kroeninger, Jan Egger, Jens Kleesiek
2024	GAN-based generation of realistic 3D volumetric data: A systematic review and taxonomy Medical Image Analysis André Ferreira, Jianning Li, Kelsey L. Pomykala, Jens Kleesiek, Victor Alves, Jan Egger
2023	Seasonal pigment fluctuation in diploid and polyploid Arabidopsis revealed by machine learning-based phenotyping method PlantServation Nature Communications Reiko Akiyama, Takao Goto, Toshiaki Tameshige, Jiro Sugisaka, Ken Kuroki, Jianqiang Sun, Junichi Akita, Masaomi Hatakeyama, Hiroshi Kudoh, Tanaka Kenta, Aya Tonouchi, Yuki Shimahara, Jun Sese, Natsumaro Kutsuna, Rie Shimizu-Inatsugi, Kentaro K. Shimizu
2023	Lecture Notes in Computer Science Jana Fragemann, Xiao Liu, Jianning Li, Sotirios A. Tsaftaris, Jan Egger, Jens Kleesiek
2023	Towards Explainability of the Latent Space by Disentangled Representation Learning Information Technology and Management Science Ivars Namatēvs, Artūrs Ņikuļins, Anda Slaidiņa, Laura Neimane, Oskars Radziņš, Kaspars Sudars
2023	“A net for everyone”: fully personalized and unsupervised neural networks trained with longitudinal data from a single patient BMC Medical Imaging Christian Strack, Kelsey L. Pomykala, Heinz-Peter Schlemmer, Jan Egger, Jens Kleesiek
2023	Feature selection for distance-based regression: An umbrella review and a one-shot wrapper Neurocomputing Joakim Linja, Joonas Hämäläinen, Paavo Nieminen, Tommi Kärkkäinen
2023	Open-source skull reconstruction with MONAI SoftwareX Jianning Li, André Ferreira, Behrus Puladi, Victor Alves, Michael Kamp, Moon Kim, Felix Nensa, Jens Kleesiek, Seyed-Ahmad Ahmadi, Jan Egger
2023	Evaluating Deep Learning Techniques for Blind Image Super-Resolution within a High-Scale Multi-Domain Perspective AI Valdivino Alexandre de Santiago Júnior
2023	A deep learning‐based interpretable decision tool for predicting high risk of chemotherapy‐induced nausea and vomiting in cancer patients prescribed highly emetogenic chemotherapy Cancer Medicine Jingyue Zhang, Xudong Cui, Chong Yang, Diansheng Zhong, Yinjuan Sun, Xiaoxiong Yue, Gaoshuang Lan, Linlin Zhang, Liangfu Lu, Hengjie Yuan
2022	Sensitivity Analysis of Artificial Neural Networks Identifying JWH Synthetic Cannabinoids Built with Alternative Training Strategies and Methods Inventions Catalina Mercedes Burlacu, Adrian Constantin Burlacu, Mirela Praisler
2022	Effect of neural network structure in accelerating performance and accuracy of a convolutional neural network with GPU/TPU for image analytics PeerJ Computer Science Aswathy Ravikumar, Harini Sriraman, P. Maruthi Sai Saketh, Saddikuti Lokesh, Abhiram Karanam
2022	AVT: Multicenter aortic vessel tree CTA dataset collection with ground truth segmentation masks Data in Brief Lukas Radl, Yuan Jin, Antonio Pepe, Jianning Li, Christina Gsaxner, Fen-hua Zhao, Jan Egger
2022	Medical deep learning—A systematic meta-review Computer Methods and Programs in Biomedicine Jan Egger, Christina Gsaxner, Antonio Pepe, Kelsey L. Pomykala, Frederic Jonske, Manuel Kurz, Jianning Li, Jens Kleesiek
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