◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Ulas Bagci

7 papers hereh-index 13850 citations24 works total

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

author position
  • middle author1
  • last author3

Across the 4 of 7 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1
  • cs.SD1
  • eess.IV1
same name
  • Ulas Bagci — 78 papers, h 19
  • Ulas Bagci — 24 papers, h 7
  • Ulas Bagci — 22 papers, h 2
  • Ulas Bagci — 21 papers, h 21
  • Ulas Bagci — 10 papers, h 7
  • Ulas Bagci — 9 papers, h 9

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
20182025
most citedLung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

291 citations · 317 across the 7 of their papers we have counts for

collaborators
Showing 2018Show all

3 papers · 1 filter

cs.CV2018★ 1 cited

A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation

Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran +7

Magnetic resonance imaging (MRI) is the non-invasive modality of choice for body tissue composition analysis due to its excellent soft tissue contrast and lack of ionizing radiatio…

cs.CV2018★ 3 cited

Deep Geodesic Learning for Segmentation and Anatomical Landmarking

Neslisah Torosdagli, Denise K. Liberton, Payal Verma +3

In this paper, we propose a novel deep learning framework for anatomy segmentation and automatic landmark- ing. Specifically, we focus on the challenging problem of mandible segmen…

cs.CV2018★ 291 cited

Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches

Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan +2

Risk stratification (characterization) of tumors from radiology images can be more accurate and faster with computer-aided diagnosis (CAD) tools. Tumor characterization through suc…

◍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.