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Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Medical image analysis, 2019-05, Vol.54, p.207-219

2019

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Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization

Medical image analysis, 2013-12, Vol.17 (8), p.1304-1314

2013

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Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks

Medical image analysis, 2019-10, Vol.57, p.106-119

2019

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Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts

Medical image analysis, 2010-04, Vol.14 (2), p.172-184

2010

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Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

Medical image analysis, 2018-01, Vol.43, p.23-36

2018

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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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Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Medical image analysis, 2019-12, Vol.58, p.101537-101537, Article 101537

2019

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Cascaded convolutional networks for automatic cephalometric landmark detection

Medical image analysis, 2021-02, Vol.68, p.101904-101904, Article 101904

2021

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Automated age estimation from MRI volumes of the hand

Medical image analysis, 2019-12, Vol.58, p.101538, Article 101538

2019

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Deeply-supervised density regression for automatic cell counting in microscopy images

Medical image analysis, 2021-02, Vol.68, p.101892-101892, Article 101892

2021

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A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

Medical image analysis, 2009-12, Vol.13 (6), p.819-845

2009

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Medical image segmentation on GPUs – A comprehensive review

Medical image analysis, 2015-02, Vol.20 (1), p.1-18

2015

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Attention gated networks: Learning to leverage salient regions in medical images

Medical image analysis, 2019-04, Vol.53, p.197-207

2019

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Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views

Medical image analysis, 2016-12, Vol.34, p.137-147

2016

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Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers

Medical image analysis, 2022-01, Vol.75, p.102258-102258, Article 102258

2022

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Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

Medical image analysis, 2017-01, Vol.35, p.327-344

2017

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A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images

Medical image analysis, 2023-12, Vol.90, p.102953-102953, Article 102953

2023

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Evaluating reinforcement learning agents for anatomical landmark detection

Medical image analysis, 2019-04, Vol.53, p.156-164

2019

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Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

Medical image analysis, 2023-04, Vol.85, p.102762-102762, Article 102762

2023

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Towards intelligent robust detection of anatomical structures in incomplete volumetric data

Medical image analysis, 2018-08, Vol.48, p.203-213

2018

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Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Medical image analysis, 2019-07, Vol.55, p.88-102

2019

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Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Medical image analysis, 2014-02, Vol.18 (2), p.359-373

2014

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Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video

Medical image analysis, 2019-10, Vol.57, p.120-135

2019

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NuClick: A deep learning framework for interactive segmentation of microscopic images

Medical image analysis, 2020-10, Vol.65, p.101771-101771, Article 101771

2020

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Attentive neural cell instance segmentation

Medical image analysis, 2019-07, Vol.55, p.228-240

2019

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Integrating spatial configuration into heatmap regression based CNNs for landmark localization

Global localization of 3D anatomical structures by pre-filtered Hough Forests and discrete optimization

Segmenting and tracking cell instances with cosine embeddings and recurrent hourglass networks

Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts

Integrating geometric configuration and appearance information into a unified framework for anatomical landmark localization

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

Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

Cascaded convolutional networks for automatic cephalometric landmark detection

Automated age estimation from MRI volumes of the hand

Deeply-supervised density regression for automatic cell counting in microscopy images

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

Medical image segmentation on GPUs – A comprehensive review

Attention gated networks: Learning to leverage salient regions in medical images

Slic-Seg: A minimally interactive segmentation of the placenta from sparse and motion-corrupted fetal MRI in multiple views

Spine-transformers: Vertebra labeling and segmentation in arbitrary field-of-view spine CTs via 3D transformers

Evaluation and comparison of 3D intervertebral disc localization and segmentation methods for 3D T2 MR data: A grand challenge

A clinically applicable AI system for diagnosis of congenital heart diseases based on computed tomography images

Evaluating reinforcement learning agents for anatomical landmark detection

Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives

Towards intelligent robust detection of anatomical structures in incomplete volumetric data

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Evaluation of prostate segmentation algorithms for MRI: The PROMISE12 challenge

Patch-based adaptive weighting with segmentation and scale (PAWSS) for visual tracking in surgical video

NuClick: A deep learning framework for interactive segmentation of microscopic images

Attentive neural cell instance segmentation

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