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researcher

M. Reddiboina

7 papers hereh-index 8393 citations22 works total

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

author position
  • middle author4
  • last author2

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV2
  • cs.SD2
  • cs.AI1
  • cs.CL1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202026
most cited2018 Robotic Scene Segmentation Challenge

118 citations · 130 across the 7 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.LG2020★ 8 cited

All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III)

Anubhav Reddy Nallabasannagari, Madhu Reddiboina, Ryan Seltzer +3

Intensive care clinicians need reliable clinical practice tools to preempt unexpected critical events that might harm their patients in intensive care units (ICU), to pre-plan time…

cs.CV2020★ 118 cited

2018 Robotic Scene Segmentation Challenge

Max Allan, Satoshi Kondo, Sebastian Bodenstedt +38

In 2015 we began a sub-challenge at the EndoVis workshop at MICCAI in Munich using endoscope images of ex-vivo tissue with automatically generated annotations from robot forward ki…

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