Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper.
Query: Deep learning methods for multimodal hepatic lesion segmentation : Fusing functional and structural medical images Thesis Plan
3D Deeply Supervised Network for Automatic Liver Segmentation from CT Volumes
Automatic abdominal multi-organ segmentation using deep convolutional neural network and time-implicit level sets
A Cross-Modality Learning Approach for Vessel Segmentation in Retinal Images
Multimodal Brain MRI Tumor Segmentation via Convolutional Neural Networks
Synthetic data augmentation using GAN for improved liver lesion classification
Deep Sequential Segmentation of Organs in Volumetric Medical Scans
A multi-view deep convolutional neural networks for lung nodule segmentation
Medical image semantic segmentation based on deep learning
Coarse-to-Fine Stacked Fully Convolutional Nets for lymph node segmentation in ultrasound images
active shape models for a fully automated 3d segmentation of the liver - an evaluation on clinical data .
Automated Breast Lesion Segmentation in Ultrasound Images
Deeply Self-Supervising Edge-to-Contour Neural Network Applied to Liver Segmentation.
Automatic liver segmentation in MRI images using an iterative watershed algorithm and artificial neural network
DeepLesion: Automated Deep Mining, Categorization and Detection of Significant Radiology Image Findings using Large-Scale Clinical Lesion Annotations
Learning Attention from Multi-Modal Imaging and Text: Application for Lesion Localisation in DWI
Deep learning and structured prediction for the segmentation of mass in mammograms
Adult brain tissue segmentation in multi-modal images with a HyperDenseNet
Deep learning for skin lesion segmentation
Medical Image Retrieval: A Multimodal Approach
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion
Semi-supervised learning using label mean
Social capital and individual motivations on knowledge sharing: Participant involvement as a moderator
Marketing of Gender Stereotypes through Animated Films: A Thematic Analysis of the Disney Princess Franchise
Fully Convolutional Networks for Semantic Segmentation
interferometric radar measurement of ocean surface currents .