Nikos Paragios | DeepAI

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∙ 08/26/2022

Region-guided CycleGANs for Stain Transfer in Whole Slide Images

In whole slide imaging, commonly used staining techniques based on hemat...

17 Joseph Boyd, et al. ∙

∙ 11/23/2021

MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network

Deformable registration consists of finding the best dense correspondenc...

10 Théo Estienne, et al. ∙

∙ 09/07/2021

Self-Supervised Representation Learning using Visual Field Expansion on Digital Pathology

The examination of histopathology images is considered to be the gold st...

18 Joseph Boyd, et al. ∙

∙ 07/27/2021

Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment

Sarcopenia is a medical condition characterized by a reduction in muscle...

12 Othmane Laousy, et al. ∙

∙ 07/23/2021

Exploring Deep Registration Latent Spaces

Explainability of deep neural networks is one of the most challenging an...

1 Théo Estienne, et al. ∙

∙ 05/10/2021

Weakly supervised pan-cancer segmentation tool

The vast majority of semantic segmentation approaches rely on pixel-leve...

11 Marvin Lerousseau, et al. ∙

∙ 05/06/2021

Sparse convolutional context-aware multiple instance learning for whole slide image classification

Whole slide microscopic slides display many cues about the underlying ti...

4 Marvin Lerousseau, et al. ∙

∙ 10/30/2020

Top 10 BraTS 2020 challenge solution: Brain tumor segmentation with self-ensembled, deeply-supervised 3D-Unet like neural networks

Brain tumor segmentation is a critical task for patient's disease manage...

33 Théophraste Henry, et al. ∙

∙ 10/21/2020

Deep learning based registration using spatial gradients and noisy segmentation labels

Image registration is one of the most challenging problems in medical im...

0 Théo Estienne, et al. ∙

∙ 09/03/2020

Multimodal brain tumor classification

Cancer is a complex disease that provides various types of information d...

41 Marvin Lerousseau, et al. ∙

∙ 07/16/2020

Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention

Segmentation and accurate localization of nuclei in histopathological im...

9 Mihir Sahasrabudhe, et al. ∙

∙ 04/10/2020

Weakly supervised multiple instance learning histopathological tumor segmentation

Histopathological image segmentation is a challenging and important topi...

13 Marvin Lerousseau, et al. ∙

∙ 11/05/2018

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Gliomas are the most common primary brain malignancies, with different d...

0 Spyridon Bakas, et al. ∙

∙ 09/24/2018

Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration

Deformable registration has been one of the pillars of biomedical image ...

2 Enzo Ferrante, et al. ∙

∙ 09/13/2018

Linear and Deformable Image Registration with 3D Convolutional Neural Networks

Image registration and in particular deformable registration methods are...

0 Stergios Christodoulidis, et al. ∙

∙ 06/18/2018

Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance

In this work we introduce Deforming Autoencoders, a generative model for...

0 Zhixin Shu, et al. ∙

∙ 02/21/2018

Continuous Relaxation of MAP Inference: A Nonconvex Perspective

In this paper, we study a nonconvex continuous relaxation of MAP inferen...

0 D. Khuê Lê-Huu, et al. ∙

∙ 09/05/2017

Newton-type Methods for Inference in Higher-Order Markov Random Fields

Linear programming relaxations are central to map inference in discrete...

0 Hariprasad Kannan, et al. ∙

∙ 07/19/2017

Deformable Registration through Learning of Context-Specific Metric Aggregation

We propose a novel weakly supervised discriminative algorithm for learni...

0 Enzo Ferrante, et al. ∙

∙ 07/19/2017

EnzyNet: enzyme classification using 3D convolutional neural networks on spatial representation

During the past decade, with the significant progress of computational p...

0 Afshine Amidi, et al. ∙

∙ 02/06/2017

Slice-to-volume medical image registration: a survey

During the last decades, the research community of medical imaging has w...

0 Enzo Ferrante, et al. ∙

∙ 11/22/2016

Alternating Direction Graph Matching

In this paper, we introduce a graph matching method that can account for...

0 D. Khuê Lê-Huu, et al. ∙

∙ 08/19/2016

Rigid Slice-To-Volume Medical Image Registration through Markov Random Fields

Rigid slice-to-volume registration is a challenging task, which finds ap...

0 Roque Porchetto, et al. ∙

∙ 02/05/2016

Sub-cortical brain structure segmentation using F-CNN's

In this paper we propose a deep learning approach for segmenting sub-cor...

0 Mahsa Shakeri, et al. ∙

∙ 08/30/2013

Discriminative Parameter Estimation for Random Walks Segmentation

The Random Walks (RW) algorithm is one of the most e - cient and easy-to...

0 Pierre-Yves Baudin, et al. ∙

∙ 06/05/2013

Discriminative Parameter Estimation for Random Walks Segmentation: Technical Report

The Random Walks (RW) algorithm is one of the most e - cient and easy-to...

0 Pierre-Yves Baudin, et al. ∙