Citation Impact
Citing Papers
A review of uncertainty quantification in deep learning: Techniques, applications and challenges
2021 Standout
Data Augmentation for Brain-Tumor Segmentation: A Review
2019
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability
2022
Cellpose 2.0: how to train your own model
2022 Standout
NuClick: A deep learning framework for interactive segmentation of microscopic images
2020
Integrating uncertainty in deep neural networks for MRI based stroke analysis
2020
Deep learning in histopathology: the path to the clinic
2021 Standout
A survey on active learning and human-in-the-loop deep learning for medical image analysis
2021
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
Test-time adaptable neural networks for robust medical image segmentation
2020
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
2021
Embracing imperfect datasets: A review of deep learning solutions for medical image segmentation
2020
Orthogonal Design of Experiments for Engineering of Lipid Nanoparticles for mRNA Delivery to the Placenta
2023 StandoutNobel
A review of medical image data augmentation techniques for deep learning applications
2021 Standout
Plant Disease Recognition Model Based on Improved YOLOv5
2022 Standout
Study on the improved fuzzy clustering algorithm and its application in brain image segmentation
2019 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Internet-of-Things (IoT)-Based Smart Agriculture: Toward Making the Fields Talk
2019 Standout
A Survey of Deep Active Learning
2021 Standout
Delivery technologies for women’s health applications
2023
Cloud services integration for farm animals’ behavior studies based on smartphones as activity sensors
2018
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation
2019 Standout
Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images
2021
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation
2019
An Augmentation Strategy for Medical Image Processing Based on Statistical Shape Model and 3D Thin Plate Spline for Deep Learning
2019
Brain Tumor Segmentation Using Multi-Cascaded Convolutional Neural Networks and Conditional Random Field
2019
DMCNN: A Deep Multiscale Convolutional Neural Network Model for Medical Image Segmentation
2019
Works of Michaël Aertsen being referenced
Aleatoric uncertainty estimation with test-time augmentation for medical image segmentation with convolutional neural networks
2019
GIFT-Cloud: A data sharing and collaboration platform for medical imaging research
2016
Validation of the Fetal Lamb Model of Spina Bifida
2019
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
2018
DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
2018