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QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation--Analysis of Ranking Metrics and Benchmarking Results. Journal of Machine Learning for Biomedical Imaging. 2022;.
. RefVOS: A Closer Look at Referring Expressions for Video Object Segmentation. Multimedia Tools and Applications. 2022;. (5.78 MB)
. SEG-ESRGAN: A multi-task network for super-resolution and semantic segmentation of remote sensing images. Remote Sensing. 2022;14(22).
. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
. Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours. In Medical Imaging with Deep Learning MIDL 2022. 2022.
. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In European Association of Dermato Oncology (EADO 2022). 2022.
. Sign Language Video Retrieval with Free-Form Textual Queries. In CVPR 2022 - CVF/IEEE Conference on Computer Vision and Pattern Recognition. 2022. (3.22 MB)
. Structural Networks for Brain Age Prediction. In Medical Imaging with Deep Learning (MIDL 2022). 2022.
. Super-resolution and semantic segmentation of remote sensing images using deep learning techniques. . Signal Theory and Communications Department. 2022.
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Brain-age mediates the association between modifiable risk factors and cognitive decline early in the AD continuum. In Alzheimer’s Association International Conference (AAIC). Amsterdam, Netherlands; 2023.
. Brain-age prediction and its associations with glial and synaptic CSF markers. In Alzheimer's Association International Conference. Amsterdam, Netherlands; 2023.
. Interpreting Machine Learning models for Survival Analysis: A study of Cutaneous Melanoma using the SEER Database. In XAI-Healthcare 2023 Workshop at 21st International Conference of Artificial Intelligence in Medicine (AIME 2023). Portoroz, Slovenia; 2023.
. Layer-wise self-supervised learning on graphs. In KDD 2023 Workshop on Deep Learning on Graphs: Methods and Applications (DLG-KDD 2023). Long Beach, USA; 2023.
. Looking behind occlusions: A study on amodal segmentation for robust on-tree apple fruit size estimation. Computers and Electronics in Agriculture. 2023;209. (9.02 MB)
. Simultaneous Fruit Detection and Size Estimation Using Multitask Deep Neural Networks . Biosystems Engineering. 2023;233:63-75. (10.36 MB)
. AmodalAppleSize_RGB-D dataset: RGB-D images of apple trees annotated with modal and amodal segmentation masks for fruit detection, visibility and size estimation. Data in Brief. 2024;52.
. SurvLIMEpy: A Python package implementing SurvLIME. Expert Systems With Applications. 2024;237, Part C.
. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. Submitted;.
. Interpreting Machine Learning Models for Survival Analysis: A Study of Cutaneous Melanoma Using the SEER Database. In Explainable Artificial Intelligence and Process Mining Applications for Healthcare,. Submitted.
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