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Jack Langerman

6 papers hereh-index 5136 citations9 works total

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

author position
  • first author2
  • middle author3

Across the 5 of 6 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CV2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20182025
most citedDeep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice

3 citations · 7 across the 4 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

eess.IV2019★ 1 cited

Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes

Tongda Xu, Ziming Qiu, William Das +8

High-frequency ultrasound (HFU) is well suited for imaging embryonic mice due to its noninvasive and real-time characteristics. However, manual segmentation of the brain ventricles…

eess.IV2019★ 1 cited

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning

Ziming Qiu, Nitin Nair, Jack Langerman +5

High-frequency ultrasound (HFU) is well suited for imaging embryonic mice in vivo because it is non-invasive and real-time. Manual segmentation of the brain ventricles (BVs) and wh…

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