◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Milad Sikaroudi

12 papers hereh-index 9444 citations14 works total

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

author position
  • first author7
  • middle author4

Across the 11 of 12 papers where every author was matched, so the position is known.

fields
  • eess.IV5
  • cs.CV3
  • stat.ML2
  • cs.CR1
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedFisher Discriminant Triplet and Contrastive Losses for Training Siamese Networks

35 citations · 93 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2023

ALFA -- Leveraging All Levels of Feature Abstraction for Enhancing the Generalization of Histopathology Image Classification Across Unseen Hospitals

Milad Sikaroudi, Maryam Hosseini, Shahryar Rahnamayan +1

We propose an exhaustive methodology that leverages all levels of feature abstraction, targeting an enhancement in the generalizability of image classification to unobserved hospit…

cs.CV2020★ 21 cited

Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches

Milad Sikaroudi, Benyamin Ghojogh, Amir Safarpoor +3

We analyze the effect of offline and online triplet mining for colorectal cancer (CRC) histopathology dataset containing 100,000 patches. We consider the extreme, i.e., farthest an…

cs.CV2020★ 9 cited

Supervision and Source Domain Impact on Representation Learning: A Histopathology Case Study

Milad Sikaroudi, Amir Safarpoor, Benyamin Ghojogh +3

As many algorithms depend on a suitable representation of data, learning unique features is considered a crucial task. Although supervised techniques using deep neural networks hav…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.