From post

Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images.

, , , , , , , и . Medical Image Anal., 17 (8): 929-945 (2013)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed.

 

Другие публикации лиц с тем же именем

Pancreatic Tumor Growth Prediction With Elastic-Growth Decomposition, Image-Derived Motion, and FDM-FEM Coupling., , , и . IEEE Trans. Medical Imaging, 36 (1): 111-123 (2017)Tumor sensitive matching flow: A variational method to detecting and segmenting perihepatic and perisplenic ovarian cancer metastases on contrast-enhanced abdominal CT., , , , и . Medical Image Anal., 18 (5): 725-739 (2014)Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning., , , , , , , , и . CoRR, (2016)Convolutional Invasion and Expansion Networks for Tumor Growth Prediction., , , , и . CoRR, (2018)Three Aspects on Using Convolutional Neural Networks for Computer-Aided Detection in Medical Imaging., , , , , , , , и . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)Computer Aided Monitoring of Fibrous Dysplasia Disease in Craniofacial Bones., , , и . ISBI, стр. 245-248. IEEE, (2004)Tumor growth modeling based on dual phase CT and FDG-PET., , , , , и . ISBI, стр. 394-397. IEEE, (2013)Augmenting tumor sensitive matching flow to improve detection and segmentation of ovarian cancer metastases within a PDE framework., , , , и . ISBI, стр. 652-655. IEEE, (2013)Computer Aided Detection of Lytic Bone Metastases in the Spine Using Routine CT Images., , и . ISBI, стр. 512-515. IEEE, (2007)Reducing the False Positive Rate of Computer Aided Detection for CT Colonography Using Content Based Image Retrieval., , и . ISBI, стр. 915-918. IEEE, (2009)