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Deep learning and differential equations for modeling changes in individual‐level latent dynamics between observation periods

2023 . Köber, Göran | Kalisch, Raffael | Puhlmann, Lara M.C. | Chmitorz, Andrea | Schick, Anita | Binder, Harald

Hyperspectral imaging and artificial intelligence to detect oral malignancy – part 1 - automated tissue classification of oral muscle, fat and mucosa using a light-weight 6-layer deep neural network

2021 . Thiem, Daniel | Römer, Paul | Gielisch, Matthias | Al-Nawas, Bilal | Schlüter, Martin | Plaß, Bastian | Kämmerer, Peer W.

Deep learning for cephalometric landmark detection: systematic review and meta-analysis

2021 . Schwendicke, Falk | Chaurasia, Akhilanand | Arsiwala, Lubaina | Lee, Jae-Hong | Elhennawy, Karim | Jost-Brinkmann, Paul-Georg | Demarco, Flavio | Krois, Joachim

Deep learning assistance increases the detection sensitivity of radiologists for secondary intracranial aneurysms in subarachnoid hemorrhage

2021 . Pennig, Lenhard | Hoyer, Ulrike Cornelia Isabel | Krauskopf, Alexandra | Shahzad, Rahil | Jünger, Stephanie T. | Thiele, Frank | Laukamp, Kai Roman | Grunz, Jan-Peter | Perkuhn, Michael | Schlamann, Marc | Kabbasch, Christoph | Borggrefe, Jan | Goertz, Lukas

Lesion probability mapping in MS patients using a regression network on MR fingerprinting

2021 . Hermann, Ingo | Golla, Alena K. | Martínez-Heras, Eloy | Schmidt, Ralf | Solana, Elisabeth | Llufriu, Sara | Gass, Achim | Schad, Lothar R. | Zöllner, Frank G.

Automated detection and segmentation of thoracic lymph nodes from CT using 3D foveal fully convolutional neural networks

2021 . Iuga, Andra-Iza | Carolus, Heike | Höink, Anna J. | Brosch, Tom | Klinder, Tobias | Maintz, David | Persigehl, Thorsten | Baeßler, Bettina | Püsken, Michael

Fully automated deep learning-based localization and segmentation of the locus coeruleus in aging and Parkinson’s disease using neuromelanin-sensitive MRI

2021 . Dünnwald, Max | Ernst, Philipp | Düzel, Emrah | Tönnies, Klaus | Betts, Matthew J. | Oeltze-Jafra, Steffen

Deep learning for detection of radiographic sacroiliitis: achieving expert-level performance

Deep learning for accurately recognizing common causes of shoulder pain on radiographs

2021 . , Nils | Niehues, Stefan M. | Gaudin, Robert A. | Keller, Sarah | Vahldiek, Janis L. | Adams, Lisa C. | Bressem, Keno K.

Sensitivity analysis for interpretation of machine learning based segmentation models in cardiac MRI

2021 . Ankenbrand, Markus | Shainberg, Liliia | Hock, Michael | Lohr, David | Schreiber, Laura M.

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