Lecture Notes in Computer Science - Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017
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Published By Springer International Publishing

9783319661841, 9783319661858

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

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

10.1007/978-3-319-66185-8_33 ◽

2017 ◽

pp. 287-295 ◽

Cited By ~ 41

Author(s):

Lequan Yu ◽

Jie-Zhi Cheng ◽

Qi Dou ◽

Xin Yang ◽

Hao Chen ◽

...

Keyword(s):

Cardiovascular Mr ◽

Mr Segmentation

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Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging

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

10.1007/978-3-319-66185-8_11 ◽

2017 ◽

pp. 92-99

Author(s):

Chenchen Li ◽

Xiaowei Li ◽

Hongji Cao ◽

He Jiang ◽

Xiaotie Deng ◽

...

Keyword(s):

Fluorescence Imaging ◽

Deep Tissue ◽

Removal Method ◽

Background Removal ◽

Tissue Fluorescence

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Deep Learning for Sensorless 3D Freehand Ultrasound Imaging

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

10.1007/978-3-319-66185-8_71 ◽

2017 ◽

pp. 628-636 ◽

Cited By ~ 8

Author(s):

Raphael Prevost ◽

Mehrdad Salehi ◽

Julian Sprung ◽

Alexander Ladikos ◽

Robert Bauer ◽

...

Keyword(s):

Deep Learning ◽

Ultrasound Imaging ◽

Freehand Ultrasound

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Active Learning and Proofreading for Delineation of Curvilinear Structures

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

10.1007/978-3-319-66185-8_19 ◽

2017 ◽

pp. 165-173 ◽

Cited By ~ 4

Author(s):

Agata Mosinska ◽

Jakub Tarnawski ◽

Pascal Fua

Keyword(s):

Active Learning ◽

Curvilinear Structures

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Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy

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

10.1007/978-3-319-66185-8_16 ◽

2017 ◽

pp. 135-143 ◽

Cited By ~ 14

Author(s):

Larissa Heinrich ◽

John A. Bogovic ◽

Stephan Saalfeld

Keyword(s):

Electron Microscopy ◽

Deep Learning ◽

Super Resolution ◽

3D Electron Microscopy ◽

3D Electron

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Cell Lineage Tracing in Lens-Free Microscopy Videos

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

10.1007/978-3-319-66185-8_1 ◽

2017 ◽

pp. 3-11 ◽

Cited By ~ 6

Author(s):

Markus Rempfler ◽

Sanjeev Kumar ◽

Valentin Stierle ◽

Philipp Paulitschke ◽

Bjoern Andres ◽

...

Keyword(s):

Cell Lineage ◽

Lineage Tracing

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Data-Driven Rank Aggregation with Application to Grand Challenges

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

10.1007/978-3-319-66185-8_85 ◽

2017 ◽

pp. 754-762 ◽

Cited By ~ 1

Author(s):

James Fishbaugh ◽

Marcel Prastawa ◽

Bo Wang ◽

Patrick Reynolds ◽

Stephen Aylward ◽

...

Keyword(s):

Rank Aggregation ◽

Data Driven ◽

Grand Challenges

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Online Statistical Inference for Large-Scale Binary Images

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

10.1007/978-3-319-66185-8_82 ◽

2017 ◽

pp. 729-736

Author(s):

Moo K. Chung ◽

Ying Ji Chuang ◽

Houri K. Vorperian

Keyword(s):

Statistical Inference ◽

Large Scale ◽

Binary Images

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Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis

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

10.1007/978-3-319-66185-8_83 ◽

2017 ◽

pp. 737-744 ◽

Cited By ~ 1

Author(s):

Catherine J. Scott ◽

Jieqing Jiao ◽

M. Jorge Cardoso ◽

Andrew Melbourne ◽

Enrico De Vita ◽

...

Keyword(s):

Pharmacokinetic Parameter ◽

Acquisition Time ◽

Short Acquisition Time ◽

Pet Quantification ◽

Parameter Synthesis

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Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images

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

10.1007/978-3-319-66185-8_7 ◽

2017 ◽

pp. 56-64 ◽

Cited By ~ 5

Author(s):

Yunxiang Mao ◽

Zhaozheng Yin

Keyword(s):

Event Detection ◽

Phase Contrast ◽

Short Term Memory ◽

Phase Contrast Microscopy ◽

Short Term ◽

Term Memory ◽

Contrast Microscopy ◽

Long Short Term Memory ◽

Microscopy Images

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

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets

Fast Background Removal Method for 3D Multi-channel Deep Tissue Fluorescence Imaging

Deep Learning for Sensorless 3D Freehand Ultrasound Imaging

Active Learning and Proofreading for Delineation of Curvilinear Structures

Deep Learning for Isotropic Super-Resolution from Non-isotropic 3D Electron Microscopy

Cell Lineage Tracing in Lens-Free Microscopy Videos

Data-Driven Rank Aggregation with Application to Grand Challenges

Online Statistical Inference for Large-Scale Binary Images

Short Acquisition Time PET Quantification Using MRI-Based Pharmacokinetic Parameter Synthesis

Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization in Phase-Contrast Microscopy Images

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