( en | de | ru )

 

Disambiguation of "Schlaefer, Alexander"

Author of the publication

copydeleteadd this publication to your clipboard
Unsupervised anomaly detection of paranasal anomalies in the maxillary sinus.

, , , , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 12465 of SPIE Proceedings, SPIE, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Alexander Schlaefer

Michael Schlaefer

Karsten Schlaefer

Katrin Schlaefer

Klaus-Hinrich Schlaefer

 

Other publications of authors with the same name

Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks., , , , , and . CoRR, (2018)Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs., and . CoRR, (2020)Automatic Plaque Detection in IVOCT Pullbacks Using Convolutional Neural Networks., , , , , , and . IEEE Trans. Medical Imaging, 38 (2): 426-434 (2019)Nodule detection and generation on chest X-rays: NODE21 Challenge., , , , , , , , , and 9 other author(s). CoRR, (2024)Multi-Scale Input Strategies for Medulloblastoma Tumor Classification using Deep Transfer Learning., , , , and . CoRR, (2021)Data-Efficient Vision Transformers for Multi-Label Disease Classification on Chest Radiographs., , , , and . CoRR, (2022)FS-MCPS: 2nd workshop on fail safety in medical cyber-physical systems., , and . Software Engineering, volume P-252 of LNI, page 127-128. GI, (2016)A Mean-Field Variational Inference Approach to Deep Image Prior for Inverse Problems in Medical Imaging., , and . MIDL, volume 143 of Proceedings of Machine Learning Research, page 745-760. PMLR, (2021)Three-dimensional deep learning with spatial erasing for unsupervised anomaly segmentation in brain MRI., , , , and . Int. J. Comput. Assist. Radiol. Surg., 16 (9): 1413-1423 (2021)SpeckleGAN: a generative adversarial network with an adaptive speckle layer to augment limited training data for ultrasound image processing., and . Int. J. Comput. Assist. Radiol. Surg., 15 (9): 1427-1436 (2020)