Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science
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9783319661780, 9783319661797

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Correction to: Retinal Microaneurysm Detection Using Clinical Report Guided Multi-Sieving CNN

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_80 ◽

2019 ◽

pp. C1-C2

Author(s):

Ling Dai ◽

Bin Sheng ◽

Qiang Wu ◽

Huating Li ◽

Xuhong Hou ◽

...

Keyword(s):

Clinical Report

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Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_46 ◽

2017 ◽

pp. 399-407 ◽

Cited By ~ 89

Author(s):

Lin Yang ◽

Yizhe Zhang ◽

Jianxu Chen ◽

Siyuan Zhang ◽

Danny Z. Chen

Keyword(s):

Image Segmentation ◽

Active Learning ◽

Biomedical Image ◽

Learning Framework

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Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_64 ◽

2017 ◽

pp. 559-567 ◽

Cited By ~ 72

Author(s):

Jia Ding ◽

Aoxue Li ◽

Zhiqiang Hu ◽

Liwei Wang

Keyword(s):

Computed Tomography ◽

Neural Networks ◽

Convolutional Neural Networks ◽

Pulmonary Nodule ◽

Deep Convolutional Neural Networks ◽

Computed Tomography Images ◽

Nodule Detection ◽

Pulmonary Nodule Detection

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Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_60 ◽

2017 ◽

pp. 525-532 ◽

Cited By ~ 11

Author(s):

Ling Dai ◽

Bin Sheng ◽

Qiang Wu ◽

Huating Li ◽

Xuhong Hou ◽

...

Keyword(s):

Clinical Report

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Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_29 ◽

2017 ◽

pp. 250-258 ◽

Cited By ~ 21

Author(s):

Zongyuan Ge ◽

Sergey Demyanov ◽

Rajib Chakravorty ◽

Adrian Bowling ◽

Rahil Garnavi

Keyword(s):

Skin Disease ◽

Multimodal Learning ◽

Clinical Images

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Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_56 ◽

2017 ◽

pp. 489-497 ◽

Cited By ~ 11

Author(s):

Atilla P. Kiraly ◽

Clement Abi Nader ◽

Ahmet Tuysuzoglu ◽

Robert Grimm ◽

Berthold Kiefer ◽

...

Keyword(s):

Prostate Cancer ◽

Cancer Detection ◽

Prostate Cancer Detection ◽

Convolutional Encoder

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GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_25 ◽

2017 ◽

pp. 214-221 ◽

Cited By ~ 11

Author(s):

Florian Dubost ◽

Gerda Bortsova ◽

Hieab Adams ◽

Arfan Ikram ◽

Wiro J. Niessen ◽

...

Keyword(s):

Lesion Detection

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Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_2 ◽

2017 ◽

pp. 12-20

Author(s):

Pin Zhang ◽

Bibo Shi ◽

Charles D. Smith ◽

Jundong Liu

Keyword(s):

Feature Space ◽

Space Transformation ◽

Nonlinear Feature

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Modeling Cognitive Trends in Preclinical Alzheimer’s Disease (AD) via Distributions over Permutations

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_78 ◽

2017 ◽

pp. 683-691

Author(s):

Gregory Plumb ◽

Lindsay Clark ◽

Sterling C. Johnson ◽

Vikas Singh

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Preclinical Alzheimer’S Disease

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Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science ◽

10.1007/978-3-319-66179-7_3 ◽

2017 ◽

pp. 21-29 ◽

Cited By ~ 5

Author(s):

Nitin Kumar ◽

Ajit V. Rajwade ◽

Sharat Chandran ◽

Suyash P. Awate

Keyword(s):

Gaussian Mixture Model ◽

Mixture Model ◽

Gaussian Mixture ◽

Abnormality Detection

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Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Retinal Microaneurysm Detection Using Clinical Report Guided Multi-Sieving CNN

Suggestive Annotation: A Deep Active Learning Framework for Biomedical Image Segmentation

Accurate Pulmonary Nodule Detection in Computed Tomography Images Using Deep Convolutional Neural Networks

Retinal Microaneurysm Detection Using Clinical Report Guided Multi-sieving CNN

Skin Disease Recognition Using Deep Saliency Features and Multimodal Learning of Dermoscopy and Clinical Images

Deep Convolutional Encoder-Decoders for Prostate Cancer Detection and Classification

GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network

Nonlinear Feature Space Transformation to Improve the Prediction of MCI to AD Conversion

Modeling Cognitive Trends in Preclinical Alzheimer’s Disease (AD) via Distributions over Permutations

Kernel Generalized-Gaussian Mixture Model for Robust Abnormality Detection

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017 - Lecture Notes in Computer Science
Latest Publications