Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science

Synthesising Images and Labels Between MR Sequence Types with CycleGAN

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_6 ◽

2019 ◽

pp. 45-53

Author(s):

Eric Kerfoot ◽

Esther Puyol-Antón ◽

Bram Ruijsink ◽

Rina Ariga ◽

Ernesto Zacur ◽

...

Keyword(s):

Sequence Types

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A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_22 ◽

2019 ◽

pp. 190-198 ◽

Cited By ~ 1

Author(s):

Erica M. Rutter ◽

John H. Lagergren ◽

Kevin B. Flores

Keyword(s):

Neural Network ◽

Image Segmentation ◽

Convolutional Neural Network ◽

Neural Network Method ◽

Biomedical Image ◽

Network Method ◽

Boundary Optimization

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Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_17 ◽

2019 ◽

pp. 148-156 ◽

Cited By ~ 2

Author(s):

Dhruv Sharma ◽

Zahil Shanis ◽

Chandan K. Reddy ◽

Samuel Gerber ◽

Andinet Enquobahrie

Keyword(s):

Brain Tumor ◽

Active Learning ◽

Tumor Segmentation ◽

Brain Tumor Segmentation ◽

Learning Technique

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Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_12 ◽

2019 ◽

pp. 99-107 ◽

Cited By ~ 1

Author(s):

Akihiro Fukuda ◽

Tadashi Miyamoto ◽

Shunsuke Kamba ◽

Kazuki Sumiyama

Keyword(s):

Classification Performance

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More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_20 ◽

2019 ◽

pp. 173-180 ◽

Cited By ~ 3

Author(s):

Yunguan Fu ◽

Maria R. Robu ◽

Bongjin Koo ◽

Crispin Schneider ◽

Stijn van Laarhoven ◽

...

Keyword(s):

Image Segmentation ◽

Unlabelled Data

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Transfer Learning from Partial Annotations for Whole Brain Segmentation

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_23 ◽

2019 ◽

pp. 199-206

Author(s):

Chengliang Dai ◽

Yuanhan Mo ◽

Elsa Angelini ◽

Yike Guo ◽

Wenjia Bai

Keyword(s):

Transfer Learning ◽

Brain Segmentation ◽

Whole Brain

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Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_4 ◽

2019 ◽

pp. 28-36

Author(s):

Zahil Shanis ◽

Samuel Gerber ◽

Mingchen Gao ◽

Andinet Enquobahrie

Keyword(s):

Domain Adaptation ◽

Adversarial Training

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A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_15 ◽

2019 ◽

pp. 129-138

Author(s):

Xiao Chen ◽

Lanfen Lin ◽

Hongjie Hu ◽

Qiaowei Zhang ◽

Yutaro Iwamoto ◽

...

Keyword(s):

Liver Lesion ◽

Ct Images ◽

Attention Network ◽

Multi Phase ◽

Lesion Classification

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Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_8 ◽

2019 ◽

pp. 63-71 ◽

Cited By ~ 5

Author(s):

Yucheng Liu ◽

Naji Khosravan ◽

Yulin Liu ◽

Joseph Stember ◽

Jonathan Shoag ◽

...

Keyword(s):

Knowledge Transfer ◽

Ct Scans ◽

Prostate Segmentation

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Learning to Segment Skin Lesions from Noisy Annotations

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33391-1_24 ◽

2019 ◽

pp. 207-215 ◽

Cited By ~ 7

Author(s):

Zahra Mirikharaji ◽

Yiqi Yan ◽

Ghassan Hamarneh

Keyword(s):

Skin Lesions

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science
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TOTAL DOCUMENTS

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Published By Springer International Publishing

Synthesising Images and Labels Between MR Sequence Types with CycleGAN

A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation

Transfer Learning from Partial Annotations for Whole Brain Segmentation

Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans

Learning to Segment Skin Lesions from Noisy Annotations

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Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Synthesising Images and Labels Between MR Sequence Types with CycleGAN

A Convolutional Neural Network Method for Boundary Optimization Enables Few-Shot Learning for Biomedical Image Segmentation

Active Learning Technique for Multimodal Brain Tumor Segmentation Using Limited Labeled Images

Generating Virtual Chromoendoscopic Images and Improving Detectability and Classification Performance of Endoscopic Lesions

More Unlabelled Data or Label More Data? A Study on Semi-supervised Laparoscopic Image Segmentation

Transfer Learning from Partial Annotations for Whole Brain Segmentation

Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training

A Cascade Attention Network for Liver Lesion Classification in Weakly-Labeled Multi-phase CT Images

Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans

Learning to Segment Skin Lesions from Noisy Annotations

Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data - Lecture Notes in Computer Science
Latest Publications