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Neural Networks

11,300 papers

Papers per year

Papers

Boundary loss for highly unbalanced segmentation MIDL 2019
Dense Segmentation in Selected Dimensions: Application to Retinal Optical Coherence Tomography MIDL 2019
Dynamic Pacemaker Artifact Removal (DyPAR) from CT Data using CNNs MIDL 2019
Group-Attention Single-Shot Detector (GA-SSD): Finding Pulmonary Nodules in Large-Scale CT Images MIDL 2019
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps MIDL 2019
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images MIDL 2019
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data MIDL 2019
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation MIDL 2019
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series MLHC 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics MLHC 2019
Clinical Judgement Study using Question Answering from Electronic Health Records MLHC 2019
A Neural Model for Predicting Dementia from Language MLHC 2019
Predicting Sick Patient Volume in a Pediatric Outpatient Setting using Time Series Analysis MLHC 2019
Predicting Phase 3 Clinical Trial Results by Modeling Phase 2 Clinical Trial Subject Level Data Using Deep Learning MLHC 2019
EEGtoText: Learning to Write Medical Reports from EEG Recordings MLHC 2019
Measuring the Sympathetic Response to Intense Exercise in a Practical Setting MLHC 2019
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules MLHC 2019
Parallelizable Stack Long Short-Term Memory NAACL 2019
Tracking Discrete and Continuous Entity State for Process Understanding NAACL 2019
Referring to Objects in Videos Using Spatio-Temporal Identifying Descriptions NAACL 2019
An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model NAACL 2019
Dataset Mention Extraction and Classification NAACL 2019
An Analysis of Deep Contextual Word Embeddings and Neural Architectures for Toponym Mention Detection in Scientific Publications NAACL 2019
Multilingual segmentation based on neural networks and pre-trained word embeddings NAACL 2019
Neural Self-Training through Spaced Repetition NAACL 2019