Jose Dolz

Proceedings of the Information Processing in Medical Imaging, 2021

A Self-Training Framework for Glaucoma Grading In OCT B-Scans.

[BibT_eX]

[DOI]

Gabriel García

Adrián Colomer

Rafael Verdú Monedero

Valery Naranjo

Proceedings of the 29th European Signal Processing Conference, 2021

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Looking at the whole picture: constrained unsupervised anomaly segmentation.

[BibT_eX]

[DOI]

Julio Silva-Rodríguez

Valery Naranjo

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Discretely-constrained deep network for weakly supervised segmentation.

[BibT_eX]

[DOI]

Neural Networks, 2020

The Little W-Net That Could: State-of-the-Art Retinal Vessel Segmentation with Minimalistic Models.

[BibT_eX]

[DOI]

CoRR, 2020

Transductive Information Maximization For Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2020

Manifold-driven Attention Maps for Weakly Supervised Segmentation.

[BibT_eX]

[DOI]

Sukesh Adiga V

Herve Lombaert

CoRR, 2020

Semi-supervised few-shot learning for medical image segmentation.

[BibT_eX]

[DOI]

CoRR, 2020

Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation.

[BibT_eX]

[DOI]

Comput. Medical Imaging Graph., 2020

Information Maximization for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

On Direct Distribution Matching for Adapting Segmentation Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Medical Imaging with Deep Learning, 2020

Cost-Sensitive Regularization for Diabetic Retinopathy Grading from Eye Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Source-Relaxed Domain Adaptation for Image Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Joint Progressive Knowledge Distillation and Unsupervised Domain Adaptation.

[BibT_eX]

[DOI]

Le Thanh Nguyen-Meidine

Eric Granger

Madhu Kiran

Louis-Antoine Blais-Morin

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Laplacian Regularized Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Benchmark on Automatic Six-Month-Old Infant Brain Segmentation Algorithms: The iSeg-2017 Challenge.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2019

Constrained-CNN losses for weakly supervised segmentation.

[BibT_eX]

[DOI]

Medical Image Anal., 2019

Privacy-Net: An Adversarial Approach For Identity-obfuscated Segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep weakly-supervised learning methods for classification and localization in histology images: a survey.

[BibT_eX]

[DOI]

CoRR, 2019

Revisiting CycleGAN for semi-supervised segmentation.

[BibT_eX]

[DOI]

CoRR, 2019

Weakly Supervised Object Localization using Min-Max Entropy: an Interpretable Framework.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-scale guided attention for medical image segmentation.

[BibT_eX]

[DOI]

Ashish Sinha

CoRR, 2019

Log-barrier constrained CNNs.

[BibT_eX]

[DOI]

CoRR, 2019

Curriculum Semi-supervised Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Constrained Domain Adaptation for Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study.

[BibT_eX]

[DOI]

Carlos R. Hernandez-Castillo

NeuroImage, 2018

Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images.

[BibT_eX]

[DOI]

Aaron Carass

Jennifer L. Cuzzocreo

Shuo Han

NeuroImage, 2018

Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning.

[BibT_eX]

[DOI]

Arnab Kumar Mondal

CoRR, 2018

Multi-region segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks.

[BibT_eX]

[DOI]

CoRR, 2018

Constrained-CNN losses forweakly supervised segmentation.

[BibT_eX]

[DOI]

CoRR, 2018

IVD-Net: Intervertebral Disc Localization and Segmentation in MRI with a Multi-modal UNet.

[BibT_eX]

[DOI]

Proceedings of the Computational Methods and Clinical Applications for Spine Imaging, 2018

Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities.

[BibT_eX]

[DOI]

Proceedings of the Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries, 2018

Isointense infant brain segmentation with a hyper-dense connected convolutional neural network.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

An Attention Model for Group-Level Emotion Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 on International Conference on Multimodal Interaction, 2018

2017

HyperDense-Net: A hyper-densely connected CNN for multi-modal image semantic segmentation.

[BibT_eX]

[DOI]

CoRR, 2017

A 3D fully convolutional neural network and a random walker to segment the esophagus in CT.

[BibT_eX]

[DOI]

CoRR, 2017

A deep learning classification scheme based on augmented-enhanced features to segment organs at risk on the optic region in brain cancer patients.

[BibT_eX]

[DOI]

CoRR, 2017

Unbiased Shape Compactness for Segmentation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

DOPE: Distributed Optimization for Pairwise Energies.

[BibT_eX]

[DOI]