Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science
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9783030611651, 9783030611668

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Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_28 ◽

2020 ◽

pp. 266-276

Author(s):

Jihun Yoon ◽

Jiwon Lee ◽

SungHyun Park ◽

Woo Jin Hyung ◽

Min-Kook Choi

Keyword(s):

Supervised Learning ◽

Imbalanced Dataset

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Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_1 ◽

2020 ◽

pp. 3-12

Author(s):

Eren Bora Yilmaz ◽

Alexander Oliver Mader ◽

Tobias Fricke ◽

Jaime Peña ◽

Claus-Christian Glüer ◽

...

Keyword(s):

Vertebral Fracture

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Projective Latent Interventions for Understanding and Fine-Tuning Classifiers

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_2 ◽

2020 ◽

pp. 13-22

Author(s):

Andreas Hinterreiter ◽

Marc Streit ◽

Bernhard Kainz

Keyword(s):

Fine Tuning

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Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_8 ◽

2020 ◽

pp. 73-82

Author(s):

Jing Zhang ◽

Caroline Petitjean ◽

Florian Yger ◽

Samia Ainouz

Keyword(s):

Head Circumference ◽

Ultrasound Images ◽

Fetal Head

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Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_26 ◽

2020 ◽

pp. 242-253

Author(s):

Tom van Sonsbeek ◽

Veronika Cheplygina

Keyword(s):

Medical Imaging ◽

Segmentation Methods ◽

Meta Learning

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Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_4 ◽

2020 ◽

pp. 33-42

Author(s):

Lior Ness ◽

Ella Barkan ◽

Michal Ozery-Flato

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Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_21 ◽

2020 ◽

pp. 193-203

Author(s):

Sebastian Otálora ◽

Niccolò Marini ◽

Henning Müller ◽

Manfredo Atzori

Keyword(s):

Prostate Cancer ◽

Image Classification ◽

Supervised Learning ◽

Weakly Supervised Learning ◽

Convolutional Networks ◽

Teacher Student ◽

Weakly Supervised

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Semi-supervised Classification of Chest Radiographs

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_19 ◽

2020 ◽

pp. 172-179

Author(s):

Eduardo H. P. Pooch ◽

Pedro Ballester ◽

Rodrigo C. Barros

Keyword(s):

Supervised Classification ◽

Chest Radiographs

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Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_16 ◽

2020 ◽

pp. 146-154

Author(s):

Xintong Li ◽

Huijuan Yang ◽

Zhiping Lin ◽

Pavitra Krishnaswamy

Keyword(s):

Anomaly Detection ◽

Transfer Learning ◽

Medical Image ◽

Joint Optimization

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Semi-supervised Instance Segmentation with a Learned Shape Prior

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science ◽

10.1007/978-3-030-61166-8_10 ◽

2020 ◽

pp. 94-102

Author(s):

Long Chen ◽

Weiwen Zhang ◽

Yuli Wu ◽

Martin Strauch ◽

Dorit Merhof

Keyword(s):

Shape Prior ◽

Instance Segmentation

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Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer ScienceLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Springer International Publishing

Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset

Assessing Attribution Maps for Explaining CNN-Based Vertebral Fracture Classifiers

Projective Latent Interventions for Understanding and Fine-Tuning Classifiers

Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images

Predicting Scores of Medical Imaging Segmentation Methods with Meta-learning

Improving the Performance and Explainability of Mammogram Classifiers with Local Annotations

Semi-weakly Supervised Learning for Prostate Cancer Image Classification with Teacher-Student Deep Convolutional Networks

Semi-supervised Classification of Chest Radiographs

Transfer Learning with Joint Optimization for Label-Efficient Medical Image Anomaly Detection

Semi-supervised Instance Segmentation with a Learned Shape Prior

Interpretable and Annotation-Efficient Learning for Medical Image Computing - Lecture Notes in Computer Science
Latest Publications