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20002025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing 2019Show all

12 papers · 1 filter

stat.ME2019★ 59 cited

Non-parametric efficient causal mediation with intermediate confounders

Iván Díaz, Nima S. Hejazi, Kara E. Rudolph +1

Interventional effects for mediation analysis were proposed as a solution to the lack of identifiability of natural (in)direct effects in the presence of a mediator-outcome confoun…

cs.LG2019★ 67 cited

Federated Learning for Healthcare Informatics

Jie Xu, Benjamin S. Glicksberg, Chang Su +3

With the rapid development of computer software and hardware technologies, more and more healthcare data are becoming readily available from clinical institutions, patients, insura…

physics.comp-ph2019★ 1 cited

Rational Design Protocols for Size-Based Particle Sorting Microdevices Using Symmetry-Induced Cyclical Dynamics

Arnaldo Rodriguez-Gonzalez, Jason P. Gleghorn, Brian J. Kirby

In this paper, we describe the unification and extension of multiple kinematic theories on the advection of colloidal particles through periodic obstacle lattices of arbitrary geom…

eess.IV2019★ 116 cited

Deep Multi-Magnification Networks for Multi-Class Breast Cancer Image Segmentation

David Joon Ho, Dig V. K. Yarlagadda, Timothy M. D'Alfonso +6

Pathologic analysis of surgical excision specimens for breast carcinoma is important to evaluate the completeness of surgical excision and has implications for future treatment. Th…

q-bio.NC2019★ 1 cited

Monolingual and bilingual language networks in healthy subjects using functional MRI and graph theory

Qiongge Li, Luca Pasquini, Gino Del Ferraro +4

Pre-surgical language mapping with functional magnetic resonance imaging (fMRI) is routinely conducted to assist the neurosurgeon in preventing damage to brain regions responsible…

cs.SI2019★ 7 cited

Neural Dynamics on Complex Networks

Chengxi Zang, Fei Wang

Learning continuous-time dynamics on complex networks is crucial for understanding, predicting and controlling complex systems in science and engineering. However, this task is ver…