From post

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

Convolutional Invasion and Expansion Networks for Tumor Growth Prediction., , , , и . CoRR, (2018)Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification., , , , и . CVPR, стр. 20675-20685. IEEE, (2022)Detection of Degenerative Osteophytes of the Spine on PET/CT Using Region-Based Convolutional Neural Networks., , , , и . CSI@MICCAI, том 10182 из Lecture Notes in Computer Science, стр. 116-124. Springer, (2016)Computer-Aided Infarction Identification from Cardiac CT Images: A Biomechanical Approach with SVM., , , , , и . MICCAI (2), том 9350 из Lecture Notes in Computer Science, стр. 144-151. Springer, (2015)Ideal Midsagittal Plane Detection Using Deep Hough Plane Network for Brain Surgical Planning., , , , , , , , , и . MICCAI (8), том 13437 из Lecture Notes in Computer Science, стр. 585-593. Springer, (2022)Multi-atlas Segmentation with Joint Label Fusion of Osteoporotic Vertebral Compression Fractures on CT., , , , и . CSI@MICCAI, том 9402 из Lecture Notes in Computer Science, стр. 74-84. Springer, (2015)DT-MIL: Deformable Transformer for Multi-instance Learning on Histopathological Image., , , , , , , , и . MICCAI (8), том 12908 из Lecture Notes in Computer Science, стр. 206-216. Springer, (2021)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)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)