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. Machine Learning for Genomic Sequence Processing. . 2022 .
. A method, system and computer programs to automatically transform an image. European Patent Office. 2022.
. Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS 2022 Track Datasets and Benchmarks. New Orleans, Louisiana, USA.; 2022. 
(937.59 KB)
(937.59 KB). Model Zoos: A Dataset of Diverse Populations of Neural Network Models. In NeurIPS. 2022. (937.59 KB)
(937.59 KB). Multimodal 3D Hand Pose Enhancement for Sign Language. . 2022 . (1.2 MB)
(1.2 MB). Machine learning on combined neuroimaging and plasma biomarkers for triaging participants of secondary prevention trials in Alzheimer’s Disease. In Alzheimer's Association International Conference. 2021.
. MRI brain tumor segmentation and uncertainty estimation using 3D-UNet architectures. In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries. BrainLes 2020. Springer International Publishing; 2021. pp. 376-390.
. Multimodal solid-state LiDAR for advanced perception applications. In OPTOEL. 2021.
. Multiple Object Tracking with Mixture Density Networks for Trajectory Estimation. In CVPR 2021 Robust Video Scene Understanding: Tracking and Video Segmentation (RVSU) Workshop. 2021.
. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. (2.2 MB)
(2.2 MB). Measuring traffic lane-changing by converting video into space-time still images. Computer-Aided Civil and Infrastructure Engineering. 2019;.
. Multi-modal Deep Learning for Fuji Apple Detection Using RGB-D Cameras and their Radiometric Capabilities. Computers and Electronics in Agriculture. 2019;162.
. Multimodal Hate Speech Detection in Memes. . 2019. (1.66 MB)
(1.66 MB). Multiresolution co-clustering for uncalibrated multiview segmentation. Signal Processing: Image Communication. 2019;. (4.35 MB)
(4.35 MB). Multi-View 3D Face Reconstruction in the Wild using Siamese Networks. In ICCV 2019 Workshop on 3D Face Alignment in the Wild Challenge Workshop (3DFAW). Seoul, South Corea: IEEE/CVF; 2019. (227.12 KB)
(227.12 KB). Method for upscaling an image and apparatus for upscaling an image. US 20170132759 A1; 2018.
. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
. Monte-Carlo Sampling applied to Multiple Instance Learning for Histological Image Classification. In Workshop on Deep Learning in Medical Image Analysis, MICCAI. Granada, Spain; 2018.
. Monte-Carlo Sampling applied to Multiple Instance Learning for Whole Slide Image Classification. In International Conference on Medical Imaging with Deep Learning. Amsterdam, The Netherlands; 2018.
. MRI-Based Screening of Preclinical Alzheimer's Disease for Prevention Clinical Trials. Journal of Alzheimer's Disease. 2018;64(4).
. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. Alzheimer's & Dementia: The Journal of the Alzheimer's Association. 2017;13(7):P1245.
. Magnetic Resonance Imaging as a valuable tool for Alzheimer's disease screening. In Alzheimer’s Association International Conference, London, 2017. 2017.
. Manifold Learning for Super Resolution. . [Hannover]: Leibniz Universität Hannover; 2017. (18.6 MB)
(18.6 MB). Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.