output
20182024
most citedIterative annotation to ease neural network training: Specialized machine learning in medical image analysis

154 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 eess.IVShow all

2 papers · 1 filter

eess.IV2024★ 4 cited

Deep Harmonic Finesse: Signal Separation in Wearable Systems with Limited Data

Mahya Saffarpour, Kourosh Vali, Weitai Qian +3

We present a method, referred to as Deep Harmonic Finesse (DHF), for separation of non-stationary quasi-periodic signals when limited data is available. The problem frequently aris…

eess.IV2018★ 154 cited

Iterative annotation to ease neural network training: Specialized machine learning in medical image analysis

Brendon Lutnick, Brandon Ginley, Darshana Govind +7

Neural networks promise to bring robust, quantitative analysis to medical fields, but adoption is limited by the technicalities of training these networks. To address this translat…