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M. Goyal

14 papers hereh-index 222.8k citations161 works total

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

author position
  • first author8
  • middle author4

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV8
  • eess.IV6
same name
  • M. Goyal — 13 papers, h 14
  • M. Goyal — 4 papers, h 20
  • M. Goyal — 4 papers, h 4
  • M. Goyal — 1 paper, h 3
  • M. Goyal — 1 paper, h 1
  • M. Goyal — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172022
most citedRecognition of Ischaemia and Infection in Diabetic Foot Ulcers: Dataset and Techniques

233 citations · 299 across the 12 of their papers we have counts for

collaborators
Showing 2020Show all

3 papers · 1 filter

eess.IV2020

Sensitivity and Specificity Evaluation of Deep Learning Models for Detection of Pneumoperitoneum on Chest Radiographs

Manu Goyal, Judith Austin-Strohbehn, Sean J. Sun +4

Background: Deep learning has great potential to assist with detecting and triaging critical findings such as pneumoperitoneum on medical images. To be clinically useful, the perfo…

cs.CV2020★ 9 cited

Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation

Moi Hoon Yap, Ryo Hachiuma, Azadeh Alavi +18

There has been a substantial amount of research involving computer methods and technology for the detection and recognition of diabetic foot ulcers (DFUs), but there is a lack of s…

cs.CV2020★ 13 cited

A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection

Manu Goyal, Saeed Hassanpour

Diabetic Foot Ulcers (DFU) that affect the lower extremities are a major complication of diabetes. Each year, more than 1 million diabetic patients undergo amputation due to failur…

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