Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper
Query: A two-stage 3D Unet framework for multi-class segmentation on full resolution image
Hierarchical 3D fully convolutional networks for multi-organ segmentation
Fully Convolutional Networks for Semantic Segmentation
Multi-Scale Convolutional Architecture for Semantic Segmentation
Feature Pyramid Network for Multi-class Land Segmentation
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks
Attention-Guided Unified Network for Panoptic Segmentation
Improving Fully Convolution Network for Semantic Segmentation
RefineNet: Multi-path Refinement Networks for High-Resolution Semantic Segmentation
Guided Upsampling Network for Real-Time Semantic Segmentation
FusionNet: 3D Object Classification Using Multiple Data Representations
Instance-Aware Semantic Segmentation via Multi-task Network Cascades
Deep convolutional encoder-decoder network with model uncertainty for semantic segmentation
3D deeply supervised network for automated segmentation of volumetric medical images
Dense Multi-path U-Net for Ischemic Stroke Lesion Segmentation in Multiple Image Modalities
UPSNet: A Unified Panoptic Segmentation Network
Deep Dual Learning for Semantic Image Segmentation
Unsupervised Multiresolution Segmentation for Images with Low Depth of Field
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation
BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation
An AADL-Based Modeling Method for ARINC653-Based Avionics Software
Exploring protein fitness landscapes by directed evolution
Transcranial DC stimulation (tDCS): A tool for double-blind sham-controlled clinical studies in brain stimulation
Aircraft Ground Routing and Scheduling Optimization
Image and video upscaling from local self-examples