Nils Gessert
Orcid: 0000-0001-6325-5092
According to our database1,
Nils Gessert
authored at least 34 papers
between 2018 and 2020.
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Bibliography
2020
Skin Lesion Classification Using CNNs With Patch-Based Attention and Diagnosis-Guided Loss Weighting.
IEEE Trans. Biomed. Eng., 2020
Deep learning with 4D spatio-temporal data representations for OCT-based force estimation.
Medical Image Anal., 2020
4D Spatio-Temporal Convolutional Networks for Object Position Estimation in OCT Volumes.
CoRR, 2020
4D Spatio-Temporal Deep Learning with 4D fMRI Data for Autism Spectrum Disorder Classification.
CoRR, 2020
Learning Preference-Based Similarities from Face Images using Siamese Multi-Task CNNs.
CoRR, 2020
Comput. Medical Imaging Graph., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Int. J. Comput. Assist. Radiol. Surg., 2020
Spectral-spatial Recurrent-Convolutional Networks for In-Vivo Hyperspectral Tumor Type Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Melanoma detection with electrical impedance spectroscopy and dermoscopy using joint deep learning models.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
Spatio-spectral deep learning methods for in-vivo hyperspectral laryngeal cancer detection.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020
2019
IEEE Trans. Medical Imaging, 2019
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data.
CoRR, 2019
Towards Deep Learning-Based EEG Electrode Detection Using Automatically Generated Labels.
CoRR, 2019
Efficient Neural Architecture Search on Low-Dimensional Data for OCT Image Segmentation.
CoRR, 2019
Towards Automatic Lesion Classification in the Upper Aerodigestive Tract Using OCT and Deep Transfer Learning Methods.
CoRR, 2019
Spatio-temporal deep learning models for tip force estimation during needle insertion.
Int. J. Comput. Assist. Radiol. Surg., 2019
Deep transfer learning methods for colon cancer classification in confocal laser microscopy images.
Int. J. Comput. Assist. Radiol. Surg., 2019
Bioresorbable scaffold visualization in IVOCT images using CNNs and weakly supervised localization.
Proceedings of the Medical Imaging 2019: Image Processing, 2019
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Two-path 3D CNNs for calibration of system parameters for OCT-based motion compensation.
Proceedings of the Medical Imaging 2019: Image-Guided Procedures, 2019
Left Ventricle Quantification Using Direct Regression with Segmentation Regularization and Ensembles of Pretrained 2D and 3D CNNs.
Proceedings of the Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges, 2019
Quantitative Analysis of 3D Artery Volume Reconstructions Using Biplane Angiography and Intravascular OCT Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019
Feasibility of Colon Cancer Detection in Confocal Laser Microscopy Images Using Convolution Neural Networks.
Proceedings of the Bildverarbeitung für die Medizin 2019 - Algorithmen - Systeme, 2019
2018
Medical Image Anal., 2018
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting.
CoRR, 2018
CoRR, 2018
Adversarial Training for Patient-Independent Feature Learning with IVOCT Data for Plaque Classification.
CoRR, 2018
Plaque Classification in Coronary Arteries from IVOCT Images Using Convolutional Neural Networks and Transfer Learning.
CoRR, 2018
Int. J. Comput. Assist. Radiol. Surg., 2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018