Michal Amitai

According to our database1, Michal Amitai authored at least 17 papers between 2014 and 2023.

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Bibliography

2023
The Liver Tumor Segmentation Benchmark (LiTS).
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Medical Image Anal., 2023

2019
Cross-modality synthesis from CT to PET using FCN and GAN networks for improved automated lesion detection.
Eng. Appl. Artif. Intell., 2019

The Liver Tumor Segmentation Benchmark (LiTS).
CoRR, 2019

2018
GAN-based synthetic medical image augmentation for increased CNN performance in liver lesion classification.
Neurocomputing, 2018

Fully convolutional network and sparsity-based dictionary learning for liver lesion detection in CT examinations.
Neurocomputing, 2018

Fully automatic detection of renal cysts in abdominal CT scans.
Int. J. Comput. Assist. Radiol. Surg., 2018

Automatic liver volume segmentation and fibrosis classification.
Proceedings of the Medical Imaging 2018: Computer-Aided Diagnosis, 2018

Synthetic data augmentation using GAN for improved liver lesion classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Anatomical data augmentation for CNN based pixel-wise classification.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Task-Driven Dictionary Learning Based on Mutual Information for Medical Image Classification.
IEEE Trans. Biomed. Eng., 2017

Modeling the Intra-class Variability for Liver Lesion Detection Using a Multi-class Patch-Based CNN.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017

Virtual PET Images from CT Data Using Deep Convolutional Networks: Initial Results.
Proceedings of the Simulation and Synthesis in Medical Imaging, 2017

2016
Improved Patch-Based Automated Liver Lesion Classification by Separate Analysis of the Interior and Boundary Regions.
IEEE J. Biomed. Health Informatics, 2016

Fully Convolutional Network for Liver Segmentation and Lesions Detection.
Proceedings of the Deep Learning and Data Labeling for Medical Applications, 2016

Sparsity-based liver metastases detection using learned dictionaries.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Multi-phase liver lesions classification using relevant visual words based on mutual information.
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014
Automatic detection and segmentation of liver metastatic lesions on serial CT examinations.
Proceedings of the Medical Imaging 2014: Computer-Aided Diagnosis, 2014


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