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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Medical image analysis, 2021-04, Vol.69, p.101950-101950, Article 101950

2021

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Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

Computerized medical imaging and graphics, 2020-07, Vol.83 (101733), p.101733-12, Article 101733

2020

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Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization

Medical & biological engineering & computing, 2020-02, Vol.58 (2), p.291-306

2020

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Current and Emerging Trends in Medical Image Segmentation With Deep Learning

IEEE transactions on radiation and plasma medical sciences, 2023-07, Vol.7 (6), p.545-569

2023

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A new conditional region growing approach for microcalcification delineation in mammograms

Medical & biological engineering & computing, 2021-09, Vol.59 (9), p.1795-1814

2021

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Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease

Computerized medical imaging and graphics, 2024-04, Vol.113 (April), p.102349-102349, Article 102349

2024

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Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

Scientific reports, 2023-12, Vol.13 (1), p.23099-23099, Article 23099

2023

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Towards population-independent, multi-disease detection in fundus photographs

Scientific reports, 2023-07, Vol.13 (1), p.11493-11493, Article 11493

2023

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Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

International journal for computer assisted radiology and surgery, 2017-02, Vol.12 (2), p.223-233

2017

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Automatic detection of rare pathologies in fundus photographs using few-shot learning

Medical image analysis, 2020-04, Vol.61, p.101660-101660, Article 101660

2020

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Learning contextual superpixel similarity for consistent image segmentation

Multimedia tools and applications, 2020-01, Vol.79 (3-4), p.2601-2627

2020

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Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

Medical image analysis, 2018-07, Vol.47, p.203-218

2018

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Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

Medical image analysis, 2022-10, Vol.81, p.102556-102556, Article 102556

2022

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Cross-modal tumor segmentation using generative blending augmentation and self-training

IEEE transactions on biomedical engineering, 2024-04, Vol.PP

2024

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Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy

Diagnostics (Basel), 2023-08, Vol.13 (17), p.2770

2023

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Towards improved breast mass detection using dual-view mammogram matching

Medical image analysis, 2021-07, Vol.71 (102083), p.102083-102083, Article 102083

2021

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Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network

Artificial intelligence in medicine, 2022-10, Vol.132, p.102364-102364, Article 102364

2022

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ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

Medical image analysis, 2021-08, Vol.72, p.102118-102118, Article 102118

2021

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Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Artificial intelligence in medicine, 2021-07, Vol.117, p.102109-102109, Article 102109

2021

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Contrastive image adaptation for acquisition shift reduction in medical imaging

Artificial intelligence in medicine, 2024-02, Vol.148, p.102747-102747, Article 102747

2024

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Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

Medical image analysis, 2022-11, Vol.82 (November), p.102616-102616, Article 102616

2022

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Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

Computerized medical imaging and graphics, 2023-12, Vol.110, p.102308-102308, Article 102308

2023

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Semi-automatic muscle segmentation in MR images using deep registration-based label propagation

Pattern recognition, 2023-08, Vol.140 (August 2023), p.109529, Article 109529

2023

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Improving abdominal image segmentation with overcomplete shape priors

Computerized medical imaging and graphics, 2024-04, Vol.113 (April), p.102356-102356, Article 102356

2024

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Unsupervised learning-based long-term superpixel tracking

Image and vision computing, 2019-09, Vol.89, p.289-301

2019

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CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentation

Healthy versus pathological learning transferability in shoulder muscle MRI segmentation using deep convolutional encoder-decoders

Automatic forensic identification using 3D sphenoid sinus segmentation and deep characterization

Current and Emerging Trends in Medical Image Segmentation With Deep Learning

A new conditional region growing approach for microcalcification delineation in mammograms

Dual-task kidney MR segmentation with transformers in autosomal-dominant polycystic kidney disease

Quantitative gait analysis and prediction using artificial intelligence for patients with gait disorders

Towards population-independent, multi-disease detection in fundus photographs

Scale-adaptive supervoxel-based random forests for liver tumor segmentation in dynamic contrast-enhanced CT scans

Automatic detection of rare pathologies in fundus photographs using few-shot learning

Learning contextual superpixel similarity for consistent image segmentation

Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks

Generalizable multi-task, multi-domain deep segmentation of sparse pediatric imaging datasets via multi-scale contrastive regularization and multi-joint anatomical priors

Cross-modal tumor segmentation using generative blending augmentation and self-training

Hybrid Fusion of High-Resolution and Ultra-Widefield OCTA Acquisitions for the Automatic Diagnosis of Diabetic Retinopathy

Towards improved breast mass detection using dual-view mammogram matching

Multi-structure bone segmentation in pediatric MR images with combined regularization from shape priors and adversarial network

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis

Abdominal multi-organ segmentation with cascaded convolutional and adversarial deep networks

Contrastive image adaptation for acquisition shift reduction in medical imaging

Fast and Low-GPU-memory abdomen CT organ segmentation: The FLARE challenge

Multi-modal medical Transformers: A meta-analysis for medical image segmentation in oncology

Semi-automatic muscle segmentation in MR images using deep registration-based label propagation

Improving abdominal image segmentation with overcomplete shape priors

Unsupervised learning-based long-term superpixel tracking

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