Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science
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9783030338497, 9783030338503

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Correction to: Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_11 ◽

2019 ◽

pp. C1-C1

Author(s):

Maxim Pisov ◽

Mikhail Goncharov ◽

Nadezhda Kurochkina ◽

Sergey Morozov ◽

Victor Gombolevskiy ◽

...

Keyword(s):

Structural Knowledge ◽

Midline Shift ◽

Shift Detection

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Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_4 ◽

2019 ◽

pp. 30-38 ◽

Cited By ~ 2

Author(s):

Maxim Pisov ◽

Mikhail Goncharov ◽

Nadezhda Kurochkina ◽

Sergey Morozov ◽

Victor Gombolevskiy ◽

...

Keyword(s):

Structural Knowledge ◽

Midline Shift ◽

Shift Detection

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Automated Enriched Medical Concept Generation for Chest X-ray Images

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_10 ◽

2019 ◽

pp. 83-92

Author(s):

Aydan Gasimova

Keyword(s):

Concept Generation ◽

X Ray ◽

Medical Concept ◽

Chest X Ray

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Towards Automatic Diagnosis from Multi-modal Medical Data

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_8 ◽

2019 ◽

pp. 67-74

Author(s):

Jiang Tian ◽

Cheng Zhong ◽

Zhongchao Shi ◽

Feiyu Xu

Keyword(s):

Medical Data ◽

Automatic Diagnosis

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UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_2 ◽

2019 ◽

pp. 12-20

Author(s):

Hugo Yeche ◽

Justin Harrison ◽

Tess Berthier

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Deep Neural Network or Dermatologist?

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_6 ◽

2019 ◽

pp. 48-55 ◽

Cited By ~ 2

Author(s):

Kyle Young ◽

Gareth Booth ◽

Becks Simpson ◽

Reuben Dutton ◽

Sally Shrapnel

Keyword(s):

Neural Network ◽

Deep Neural Network

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Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_3 ◽

2019 ◽

pp. 21-29

Author(s):

Hyebin Lee ◽

Seong Tae Kim ◽

Yong Man Ro

Keyword(s):

Computer Aided Diagnosis ◽

Visual Word ◽

Computer Aided ◽

Constraint Model ◽

Aided Diagnosis

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Deep Learning Based Multi-modal Registration for Retinal Imaging

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_9 ◽

2019 ◽

pp. 75-82 ◽

Cited By ~ 1

Author(s):

Mustafa Arikan ◽

Amir Sadeghipour ◽

Bianca Gerendas ◽

Reinhard Told ◽

Ursula Schmidt-Erfurt

Keyword(s):

Deep Learning ◽

Retinal Imaging

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Towards Interpretability of Segmentation Networks by Analyzing DeepDreams

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_7 ◽

2019 ◽

pp. 56-63 ◽

Cited By ~ 2

Author(s):

Vincent Couteaux ◽

Olivier Nempont ◽

Guillaume Pizaine ◽

Isabelle Bloch

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Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science ◽

10.1007/978-3-030-33850-3_5 ◽

2019 ◽

pp. 39-47

Author(s):

Peifei Zhu ◽

Masahiro Ogino

Keyword(s):

Computer Aided Diagnosis ◽

Lung Nodules ◽

Computer Aided ◽

Aided Diagnosis

Download Full-text

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Correction to: Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

Automated Enriched Medical Concept Generation for Chest X-ray Images

Towards Automatic Diagnosis from Multi-modal Medical Data

UBS: A Dimension-Agnostic Metric for Concept Vector Interpretability Applied to Radiomics

Deep Neural Network or Dermatologist?

Generation of Multimodal Justification Using Visual Word Constraint Model for Explainable Computer-Aided Diagnosis

Deep Learning Based Multi-modal Registration for Retinal Imaging

Towards Interpretability of Segmentation Networks by Analyzing DeepDreams

Guideline-Based Additive Explanation for Computer-Aided Diagnosis of Lung Nodules

Interpretability of Machine Intelligence in Medical Image Computing and Multimodal Learning for Clinical Decision Support - Lecture Notes in Computer Science
Latest Publications