Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Computer Aided Diagnosis Based on Medical Image Processing and Artificial Intelligence Methods
Hybrid Retrieval-Generation Reinforced Agent for Medical Image Report Generation
Overview of the ImageCLEF 2016 Medical Task
Automated Medical Diagnosis based on Decision Theory and Learning from Cases
Linking DICOM pixel data with radiology reports using automatic semantic annotation
Interactive Medical Image Segmentation Using Deep Learning With Image-Specific Fine Tuning
Hierarchical annotation of medical images
Generating Captions for Medical Images with a Deep Learning Multi-hypothesis Approach: ImageCLEF 2017 Caption Task
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification
$\mathtt {Deepr}$: A Convolutional Net for Medical Records
Information Extraction of Multiple Categories from Pathology Reports
DeepTag: inferring all-cause diagnoses from clinical notes in under-resourced medical domain
Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Deep Learning for Multi-Task Medical Image Segmentation in Multiple Modalities
Distributed medical image retrieval techniques: A review
Ensembling Neural Networks for Digital Pathology Images Classification and Segmentation
Diagnostics in Semantic Segmentation
Generative Adversarial Network in Medical Imaging: A Review
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-Rays
Toward mutual information based automatic registration of 3D point clouds
Effect of diet and exercise on body composition, energy intake and leptin levels in overweight women and men.
Chest X-ray Image View Classification
HypeBIOS : Enforcing VM Isolation with Minimized and Decomposed Cloud TCB
Irony and Sarcasm: Corpus Generation and Analysis Using Crowdsourcing