output
20122026
most citedFederated Learning Enables Big Data for Rare Cancer Boundary Detection

390 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018Show all

5 papers · 1 filter

q-bio.NC2018

State-Dependent Modulation of Locomotion by GABAergic Spinal Sensory Neurons

Kevin Fidelin, Lydia Djenoune, Caleb Stokes +5

The cerebrospinal fluid (CSF) constitutes an interface through which chemical cues can reach and modulate the activity of neurons located at the epithelial boundary within the enti…

cond-mat.mtrl-sci2018★ 22 cited

Prediction of optimal catalysts for a given chemical reaction

Herve Toulhoat, Pascal Raybaud

We reveal a correlation between the M-X bond energy descriptor EMX for the optimal catalyst in a family of stoichiometry MiXj, and an intensive quantity defined as the standard ent…

cs.NE2018★ 1 cited

When Conventional machine learning meets neuromorphic engineering: Deep Temporal Networks (DTNets) a machine learning frawmework allowing to operate on Events and Frames and implantable on Tensor Flow Like Hardware

Marco Macanovic, Fabian Chersi, Felix Rutard +2

We introduce in this paper the principle of Deep Temporal Networks that allow to add time to convolutional networks by allowing deep integration principles not only using spatial i…

q-bio.TO2018★ 2 cited

Sequential Wnt Agonist then Antagonist Treatment Accelerates Tissue Repair and Minimizes Fibrosis

Xiao-Jun Tian, Dong Zhou, Haiyan Fu +5

Tissue fibrosis compromises organ function and occurs as a potential long-term outcome in response to acute tissue injuries. Currently, lack of mechanistic understanding prevents e…

q-bio.QM2018★ 6 cited

Learn to segment single cells with deep distance estimator and deep cell detector

Weikang Wang, David A. Taft, Yi-Jiun Chen +5

Single cell segmentation is critical and challenging in live cell imaging data analysis. Traditional image processing methods and tools require time-consuming and labor-intensive e…