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researcher

I. Lagunju

5 papers hereh-index 18986 citations58 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • eess.IV4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedLow-field magnetic resonance image enhancement via stochastic image quality transfer

42 citations · 56 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

3 papers · 1 filter

eess.IV2019★ 2 cited

Deep Learning for Low-Field to High-Field MR: Image Quality Transfer with Probabilistic Decimation Simulator

Hongxiang Lin, Matteo Figini, Ryutaro Tanno +10

MR images scanned at low magnetic field (<1T) have lower resolution in the slice direction and lower contrast, due to a relatively small signal-to-noise ratio (SNR) than those fr…

cs.LG2019★ 3 cited

Data-Driven Malaria Prevalence Prediction in Large Densely-Populated Urban Holoendemic sub-Saharan West Africa: Harnessing Machine Learning Approaches and 22-years of Prospectively Collected Data

Biobele J. Brown, Alexander A. Przybylski, Petru Manescu +20

Plasmodium falciparum malaria still poses one of the greatest threats to human life with over 200 million cases globally leading to half-million deaths annually. Of these, 90% of c…

eess.IV2019★ 5 cited

Deep Learning Enhanced Extended Depth-of-Field for Thick Blood-Film Malaria High-Throughput Microscopy

Petru Manescu, Lydia Neary- Zajiczek, Michael J. Shaw +10

Fast accurate diagnosis of malaria is still a global health challenge for which automated digital-pathology approaches could provide scalable solutions amenable to be deployed in l…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.