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20142026
most citedMachine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunities

693 citations

Showing 2020Show all

5 papers · 1 filter

stat.ME2020★ 38 cited

Conflating marginal and conditional treatment effects: Comments on 'Assessing the performance of population adjustment methods for anchored indirect comparisons: A simulation study'

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

In this commentary, we highlight the importance of: (1) carefully considering and clarifying whether a marginal or conditional treatment effect is of interest in a population-adjus…

stat.ME2020★ 4 cited

Effect modification in anchored indirect treatment comparisons: Comments on "Matching-adjusted indirect comparisons: Application to time-to-event data"

Antonio Remiro-Azócar, Anna Heath, Gianluca Baio

This commentary regards a recent simulation study conducted by Aouni, Gaudel-Dedieu and Sebastien, evaluating the performance of different versions of matching-adjusted indirect co…

cs.DC2020★ 6 cited

LifeStream: A High-Performance Stream Processing Engine for Periodic Streams

Anand Jayarajan, Kimberly Hau, Andrew Goodwin +1

Hospitals around the world collect massive amounts of physiological data from their patients every day. Recently, there has been an increase in research interest to subject this da…

cs.RO2020

Anatomical Mesh-Based Virtual Fixtures for Surgical Robots

Zhaoshuo Li, Alex Gordon, Thomas Looi +3

This paper presents a dynamic constraint formulation to provide protective virtual fixtures of 3D anatomical structures from polygon mesh representations. The proposed approach can…

q-bio.QM2020★ 4 cited

A Comprehensive Study of Data Augmentation Strategies for Prostate Cancer Detection in Diffusion-weighted MRI using Convolutional Neural Networks

Ruqian Hao, Khashayar Namdar, Lin Liu +2

Data augmentation refers to a group of techniques whose goal is to battle limited amount of available data to improve model generalization and push sample distribution toward the t…