Gabriel Maicas | DeepAI

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Featured Co-authors

Ian Reid
130 publications
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Dong Gong
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Wiro J. Niessen
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Michele Sasdelli
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Jacinto C. Nascimento
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∙ 05/26/2022

Censor-aware Semi-supervised Learning for Survival Time Prediction from Medical Images

Survival time prediction from medical images is important for treatment ...

4 Renato Hermoza, et al. ∙

∙ 01/25/2022

Mutual information neural estimation for unsupervised multi-modal registration of brain images

Many applications in image-guided surgery and therapy require fast and r...

8 Gerard Snaauw, et al. ∙

∙ 02/22/2021

Post-hoc Overall Survival Time Prediction from Brain MRI

Overall survival (OS) time prediction is one of the most common estimate...

11 Renato Hermoza, et al. ∙

∙ 01/09/2021

Detecting, Localising and Classifying Polyps from Colonoscopy Videos using Deep Learning

In this paper, we propose and analyse a system that can automatically de...

8 Yu Tian, et al. ∙

∙ 07/05/2020

Self-supervised Depth Estimation to Regularise Semantic Segmentation in Knee Arthroscopy

Intra-operative automatic semantic segmentation of knee joint structures...

0 Fengbei Liu, et al. ∙

∙ 06/26/2020

Few-Shot Anomaly Detection for Polyp Frames from Colonoscopy

Anomaly detection methods generally target the learning of a normal imag...

0 Yu Tian, et al. ∙

∙ 05/21/2020

Region Proposals for Saliency Map Refinement for Weakly-supervised Disease Localisation and Classification

The deployment of automated systems to diagnose diseases from medical im...

0 Renato Hermoza, et al. ∙

∙ 10/23/2019

Semi-supervised Multi-domain Multi-task Training for Metastatic Colon Lymph Node Diagnosis From Abdominal CT

The diagnosis of the presence of metastatic lymph nodes from abdominal c...

0 Saskia Glaser, et al. ∙

∙ 10/23/2019

Photoshopping Colonoscopy Video Frames

The automatic detection of frames containing polyps from a colonoscopy v...

0 Yuyuan Liu, et al. ∙

∙ 07/17/2019

Unsupervised Task Design to Meta-Train Medical Image Classifiers

Meta-training has been empirically demonstrated to be the most effective...

0 Gabriel Maicas, et al. ∙

∙ 10/23/2018

End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...

4 Gerard Snaauw, et al. ∙

∙ 09/25/2018

Pre and Post-hoc Diagnosis and Interpretation of Malignancy from Breast DCE-MRI

We propose a new method for breast cancer screening from DCE-MRI based o...

6 Gabriel Maicas, et al. ∙

∙ 07/20/2018

Model Agnostic Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI

There is a heated debate on how to interpret the decisions provided by d...

0 Gabriel Maicas, et al. ∙

∙ 07/20/2018

Lesion Saliency for Weakly Supervised Lesion Detection from Breast DCE-MRI

There is a heated debate on how to interpret the decisions provided by d...

0 Gabriel Maicas, et al. ∙

∙ 05/28/2018

Training Medical Image Analysis Systems like Radiologists

The training of medical image analysis systems using machine learning ap...

0 Gabriel Maicas, et al. ∙

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