Siemens Healthcare Gmbh

Palo Alto Research Center Inc.

Siemens Healthineers Ag

Hui Ding

Bogdan Georgescu

Puneet Sharma

Shaohua Kevin Zhou

Shanhui Sun

Yefeng Zheng

Atilla Peter Kiraly

Mehmet Akif Gulsun

Zhoubing Xu

Xiaoguang Lu

Daguang Xu

Jin-hyeong Park

Mingqing Chen

Tae Soo Kim

Raja Bala

Matthew Adam Shreve

Sricharan Kallur Palli Kumar

Jin Sun

One embodiment facilitates generating synthetic data objects using a semi-supervised GAN. During operation, a generator module synthesizes a data object derived from a noise vector and an attribute label. The system passes, to an unsupervised discriminator module, the data object and a set of training objects which are obtained from a training data set. The unsupervised discriminator module calculates: a value indicating a probability that the data object is real; and a latent feature representation of the data object. The system passes the latent feature representation and the attribute label to a supervised discriminator module. The supervised discriminator module calculates a value indicating a probability that the attribute label given the data object is real. The system performs the aforementioned steps iteratively until the generator module produces data objects with a given attribute label which the unsupervised and supervised discriminator modules can no longer identify as fake.

System and method for semi-supervised conditional generative modeling using adversarial networks

Methods and systems for artificial intelligence based medical image segmentation are disclosed. In a method for autonomous artificial intelligence based medical image segmentation, a medical image of a patient is received. A current segmentation context is automatically determined based on the medical image and at least one segmentation algorithm is automatically selected from a plurality of segmentation algorithms based on the current segmentation context. A target anatomical structure is segmented in the medical image using the selected at least one segmentation algorithm.

Method and system for artificial intelligence based medical image segmentation

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College Park, MD, United States of America

Hui Ding