research
∙
06/18/2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
Challenges drive the state-of-the-art of automated medical image analysi...
share
research
∙
08/26/2022
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
In whole slide imaging, commonly used staining techniques based on hemat...
research
∙
11/23/2021
MICS : Multi-steps, Inverse Consistency and Symmetric deep learning registration network
Deformable registration consists of finding the best dense correspondenc...
research
∙
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...
research
∙
07/27/2021
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment
Sarcopenia is a medical condition characterized by a reduction in muscle...
research
∙
07/23/2021
Exploring Deep Registration Latent Spaces
Explainability of deep neural networks is one of the most challenging an...
research
∙
05/10/2021
Weakly supervised pan-cancer segmentation tool
The vast majority of semantic segmentation approaches rely on pixel-leve...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
09/03/2020
Multimodal brain tumor classification
Cancer is a complex disease that provides various types of information d...
research
∙
07/16/2020
Self-Supervised Nuclei Segmentation in Histopathological Images Using Attention
Segmentation and accurate localization of nuclei in histopathological im...
research
∙
04/10/2020
Weakly supervised multiple instance learning histopathological tumor segmentation
Histopathological image segmentation is a challenging and important topi...
research
∙
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...
research
∙
09/24/2018
Weakly-Supervised Learning of Metric Aggregations for Deformable Image Registration
Deformable registration has been one of the pillars of biomedical image ...
research
∙
09/13/2018
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Image registration and in particular deformable registration methods are...
research
∙
06/18/2018
Deforming Autoencoders: Unsupervised Disentangling of Shape and Appearance
In this work we introduce Deforming Autoencoders, a generative model for...
research
∙
02/21/2018
Continuous Relaxation of MAP Inference: A Nonconvex Perspective
In this paper, we study a nonconvex continuous relaxation of MAP inferen...
research
∙
09/05/2017
Newton-type Methods for Inference in Higher-Order Markov Random Fields
Linear programming relaxations are central to map inference in discrete...
research
∙
07/19/2017
Deformable Registration through Learning of Context-Specific Metric Aggregation
We propose a novel weakly supervised discriminative algorithm for learni...
research
∙
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...
research
∙
02/06/2017
Slice-to-volume medical image registration: a survey
During the last decades, the research community of medical imaging has w...
research
∙
11/22/2016
Alternating Direction Graph Matching
In this paper, we introduce a graph matching method that can account for...
research
∙
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...
research
∙
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...
research
∙
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...
research
∙
06/05/2013
