output
19932025
most citedThe importance of transparency and reproducibility in artificial intelligence research

533 citations

Showing 2020Show all

8 papers · 1 filter

q-bio.TO2020★ 11 cited

Influence of shear rate and surface chemistry on thrombus formation in micro-crevice

Mansur Zhussupbekov, Wei-Tao Wu, Megan A. Jamiolkowski +2

Thromboembolic complications remain a central issue in management of patients on mechanical circulatory support. Despite the best practices employed in design and manufacturing of…

stat.ME2020★ 1 cited

Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data

Yunshan Duan, Sue-Jane Wang, Yuan Ji

Background -- In phase I clinical trials, historical data may be available through multi-regional programs, reformulation of the same drug, or previous trials for a drug under the…

q-bio.QM2020★ 4 cited

A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study

Sarah N Dudgeon, Si Wen, Matthew G Hanna +19

Purpose: In this work, we present a collaboration to create a validation dataset of pathologist annotations for algorithms that process whole slide images (WSIs). We focus on data…

cond-mat.dis-nn2020★ 14 cited

Scaling up the lattice dynamics of amorphous materials by orders of magnitude

Ivan Kriuchevskyi, Vladimir V. Palyulin, Rico Milkus +3

We generalise the non-affine theory of viscoelasticity for use with large, well-sampled systems of arbitrary chemical complexity. Having in mind predictions of mechanical and vibra…

physics.chem-ph2020★ 32 cited

Hadamard magnetization transfers achieve dramatic sensitivity enhancements in homonuclear multidimensional NMR correlations of labile sites in proteins, polysaccharides and nucleic acids

Mihajlo Novakovic, Eriks Kupce, Andreas Oxenfarth +4

EXSY, TOCSY and NOESY lie at the foundation of homonuclear NMR experiments in organic and pharmaceutical chemistry, as well as in structural biology. Limited magnetization transfer…

stat.AP2020★ 533 cited

The importance of transparency and reproducibility in artificial intelligence research

Benjamin Haibe-Kains, George Alexandru Adam, Ahmed Hosny +17

In their study, McKinney et al. showed the high potential of artificial intelligence for breast cancer screening. However, the lack of detailed methods and computer code undermines…

math.NA2020★ 32 cited

A sharp interface Lagrangian-Eulerian method for rigid-body fluid-structure interaction

Ebrahim M. Kolahdouz, Amneet P. S. Bhalla, Lawrence N. Scotten +2

This paper introduces a sharp interface method to simulate fluid-structure interaction (FSI) involving rigid bodies immersed in viscous incompressible fluids. The capabilities of t…

stat.CO2020★ 60 cited

Considering discrepancy when calibrating a mechanistic electrophysiology model

Chon Lok Lei, Sanmitra Ghosh, Dominic G. Whittaker +14

Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun to explore and adopt UQ me…