Papers
Multiple Instance Learning for ECG Risk Stratification
Divya Shanmugam, Davis Blalock, John Guttag
Dynamically Personalized Detection of Hemorrhage
Chirag Nagpal, Xinyu Li, Michael R. Pinsky et al.
Using Contextual Information to Improve Blood Glucose Prediction
Mohammad Akbari, Rumi Chunara
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics
Iñigo Urteaga, Tristan Bertin, Theresa M. Hardy et al.
FLARe: Forecasting by Learning Anticipated Representations
Surya Teja Devarakonda, Joie Yeahuay Wu, Yi Ren Fung et al.
Relaxed Parameter Sharing: Effectively Modeling Time-Varying Relationships in Clinical Time-Series
Jeeheh Oh, Jiaxuan Wang, Shengpu Tang et al.
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Michael Moor, Max Horn, Bastian Rieck et al.
CARE: Class Attention to Regions of Lesion for Classification on Imbalanced Data
Jiaxin Zhuang, Jiabin Cai, Ruixuan Wang et al.
SPDA: Superpixel-based Data Augmentation for Biomedical Image Segmentation
Yizhe Zhang, Lin Yang, Hao Zheng et al.
Deep Learning Approach to Semantic Segmentation in 3D Point Cloud Intra-oral Scans of Teeth
Farhad Ghazvinian Zanjani, David Anssari Moin, Bas Verheij et al.
Unsupervised Lesion Detection via Image Restoration with a Normative Prior
Suhang You, Kerem C. Tezcan, Xiaoran Chen et al.
VOCA: Cell Nuclei Detection In Histopathology Images By Vector Oriented Confidence Accumulation
Chensu Xie, Chad M. Vanderbilt, Anne Grabenstetter et al.
Adversarial Pseudo Healthy Synthesis Needs Pathology Factorization
Tian Xia, Agisilaos Chartsias, Sotirios A. Tsaftaris
Learning beamforming in ultrasound imaging
Sanketh Vedula, Ortal Senouf, Grigoriy Zurakhov et al.
Prediction of Disease Progression in Multiple Sclerosis Patients using Deep Learning Analysis of MRI Data
Adrian Tousignant, Paul Lemaître, Doina Precup et al.
Training Deep Networks on Domain Randomized Synthetic X-ray Data for Cardiac Interventions
Daniel Toth, Serkan Cimen, Pascal Ceccaldi et al.
XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation
You-Bao Tang, Yu-Xing Tang, Jing Xiao et al.
3D multirater RCNN for multimodal multiclass detection and characterisation of extremely small objects
Carole H. Sudre, Beatriz Gomez Anson, Silvia Ingala et al.
A Hybrid, Dual Domain, Cascade of Convolutional Neural Networks for Magnetic Resonance Image Reconstruction
Roberto Souza, R. Marc Lebel, Richard Frayne
MRI k-Space Motion Artefact Augmentation: Model Robustness and Task-Specific Uncertainty
Richard Shaw, Carole Sudre, Sebastien Ourselin et al.
Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images
Oindrila Saha, Rachana Sathish, Debdoot Sheet
Joint Learning of Brain Lesion and Anatomy Segmentation from Heterogeneous Datasets
Nicolas Roulet, Diego Fernandez Slezak, Enzo Ferrante
Weakly Supervised Deep Nuclei Segmentation using Points Annotation in Histopathology Images
Hui Qu, Pengxiang Wu, Qiaoying Huang et al.
High-quality segmentation of low quality cardiac MR images using k-space artefact correction
Ilkay Oksuz, James Clough, Wenjia Bai et al.
A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps
Huu-Giao Nguyen, Alessia Pica, Jan Hrbacek et al.