„Deep Learning“

Suchergebnisse

10.000+ Treffer

• The Potential of Artificial Intelligence to Improve Selection Criteria for Liver Transplantation in HCC
  Gundlach, Jan-Paul ; Heckl, Steffen ; Langguth, Patrick ; Oberkofler, Christian ; Taivankhuu, Terbish ; Beckmann, Jan Henrik ; Becker, Thomas ; Braun, Felix ; Linecker, Michael 2025 Universitätsbibliothek Kiel
• A Study on Lung Cancer Detection Using Deep Learning
  Chuluunbaatar, Daariimaa ; Tudevdagva, Uranchimeg ; Ganbaatar, Ganbat
• Deconvolution of direct reconstructions for MPI using Convolutional Neural Network
  Eulers, Mathias ; Droigk, Christine ; Maass, Marco ; Mertins, Alfred
• Deep Learning-Based Pertinent Video Frame Detection to Compressed Surveillance Video
  Mohod, Nikita ; Agarwal, Prateek ; Madaan, Vishu ; Nagpal, Dimple
• HIBRID: histology-based risk-stratification with deep learning and ctDNA in colorectal cancer
  Loeffler, Chiara M. L. ; Bando, Hideaki ; Sainath, Srividhya ; Muti, Hannah Sophie ; Jiang, Xiaofeng ; Treeck, Marko van ; Reitsam, Nic Gabriel ; Carrero, Zunamys I. ; Rabasco Meneghetti, Asier ; Nishikawa, Tomomi ; Misumi, Toshihiro ; Mishima, Saori ; Kotani, Daisuke ; Taniguchi, Hiroya ; Takemasa, Ichiro ; Kato, Takeshi ; Oki, Eiji ; Tanwei, Yuan ; Durgesh, Wankhede ; Försch, Sebastian ; Brenner, Hermann ; Hoffmeister, Michael ; Nakamura, Yoshiaki ; Yoshino, Takayuki ; Kather, Jakob Nikolas
• ResFed: Communication-Efficient Federated Learning With Deep Compressed Residuals
  Song, Rui ; Zhou, Liguo ; Lyu, Lingjuan ; Festag, Andreas ; Knoll, Alois 2023 Technische Hochschule Ingolstadt
• Automated Volume Corrected Mitotic Index Calculation Through Annotation-Free Deep Learning using Immunohistochemistry as Reference Standard
  Ammeling, Jonas ; Hecker, Moritz ; Ganz, Jonathan ; Donovan, Taryn ; Klopfleisch, Robert ; Bertram, Christof ; Breininger, Katharina ; Aubreville, Marc 2023 Technische Hochschule Ingolstadt
• Pan-tumor T-lymphocyte detection using deep neural networks: Recommendations for transfer learning in immunohistochemistry
  Wilm, Frauke ; Ihling, Christian ; Méhes, Gábor ; Terracciano, Luigi ; Puget, Chloé ; Klopfleisch, Robert ; Schüffler, Peter ; Aubreville, Marc ; Maier, Andreas ; Mrowiec, Thomas ; Breininger, Katharina 2023 Technische Hochschule Ingolstadt
• Cytologic scoring of equine exercise-induced pulmonary hemorrhage: Performance of human experts and a deep learning-based algorithm
  Bertram, Christof ; Marzahl, Christian ; Bartel, Alexander ; Stayt, Jason ; Bonsembiante, Federico ; Beeler-Marfisi, Janet ; Barton, Ann K. ; Brocca, Ginevra ; Gelain, Maria Elena ; Gläsel, Agnes C. ; du Preez, Kelly ; Weiler, Kristina ; Weissenbacher-Lang, Christiane ; Breininger, Katharina ; Aubreville, Marc ; Maier, Andreas ; Klopfleisch, Robert ; Hill, Jenny 2023 Technische Hochschule Ingolstadt
• Computer-assisted mitotic count using a deep learning–based algorithm improves interobserver reproducibility and accuracy
  Bertram, Christof ; Aubreville, Marc ; Donovan, Taryn ; Bartel, Alexander ; Wilm, Frauke ; Marzahl, Christian ; Assenmacher, Charles-Antoine ; Becker, Kathrin ; Bennett, Mark ; Corner, Sarah M. ; Cossic, Brieuc ; Denk, Daniela ; Dettwiler, Martina ; Garcia Gonzalez, Beatriz ; Gurtner, Corinne ; Haverkamp, Ann-Kathrin ; Heier, Annabelle ; Lehmbecker, Annika ; Merz, Sophie ; Noland, Erica L. ; Plog, Stephanie ; Schmidt, Anja ; Sebastian, Franziska ; Sledge, Dodd G. ; Smedley, Rebecca C. ; Tecilla, Marco ; Tha 2022 Technische Hochschule Ingolstadt
• Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility Through Quantization
  Boche, Holger ; Fojtik, Vit ; Fono, Adalbert ; Kutyniok, Gitta
• Arthroscopy-validated diagnostic performance of sub-5-min deep learning super-resolution 3T knee MRI in children and adolescents
  Vosshenrich, Jan ; Breit, Hanns-Christian ; Donners, Ricardo ; Obmann, Markus M. ; Harder, Dorothee ; Ahlawat, Shivani ; Walter, Sven S. ; Serfaty, Aline ; Cantarelli Rodrigues, Tatiane ; Recht, Michael ; Stern, Steven E. ; Fritz, Jan
• Interpretable Deep Learning for Diabetic Retinopathy: A Comparative Study of CNN, ViT, and Hybrid Architectures
  Zhang, Weijie ; Belcheva, Veronika ; Ermakova, Tatiana ; Chowdhury, Rafiqul 2025 Hochschule für Technik und Wirtschaft Berlin
• Enhancing yeast cell tracking with a time-symmetric deep learning approach
  Szabó, Gergely ; Bonaiuti, Paolo ; Ciliberto, Andrea ; Horváth, András
• A Computational Simulation of Children’s Language Acquisition (Crazy New Idea)
  Ambridge, Ben 2021 Schloss Dagstuhl – Leibniz-Zentrum für Informatik
• Intelligent in-cell electrophysiology: Reconstructing intracellular action potentials using a physics-informed deep learning model trained on nanoelectrode array recordings
  Rahmani, Keivan ; Yang, Yang ; Foster, Ethan Paul ; Tsai, Ching-Ting ; Meganathan, Dhivya Pushpa ; Alvarez, Diego D. ; Gupta, Aayush ; Cui, Bianxiao ; Santoro, Francesca ; Bloodgood, Brenda L. ; Yu, Rose ; Forró, Csaba ; Jahed, Zeinab
• Deep learning empowered sensor fusion boosts infant movement classification
  Kulvicius, Tomas ; Marschik, Dajie ; Poustka, Luise ; Bölte, Sven ; Jahn, Lennart ; Flügge, Sarah ; Kraft, Marc ; Zweckstetter, Markus H.-G. S. ; Nielsen-Saines, Karin ; Wörgötter, Florentin ; Marschik, Peter B.
• Improving 3D deep learning segmentation with biophysically motivated cell synthesis
  Bruch, Roman ; Vitacolonna, Mario ; Nürnberg, Elina ; Sauer, Simeon ; Rudolf, Rüdiger ; Reischl, Markus
• Malignancy risk stratification for pulmonary nodules: comparing a deep learning approach to multiparametric statistical models in different disease groups
  Piskorski, Lars ; Debic, Manuel ; Stackelberg, Oyunbileg von ; Schlamp, Kai ; Welzel, Linn ; Weinheimer, Oliver ; Peters, Alan ; Wielpütz, Mark Oliver ; Frauenfelder, Thomas ; Kauczor, Hans-Ulrich ; Heußel, Claus Peter ; Kroschke, Jonas
• Taking a deep dive with active learning for drug discovery
  Fralish, Zachary ; Reker, Daniel