World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8828
World Ranking
7168
National Ranking
3139

Overview

Ulas Bagci is affiliated with Northwestern University in the United States. Their research activity spans primarily the fields of Medicine and Computer Science, with a strong focus on subfields including Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Oncology, and Biomedical Engineering.

Their scientific contributions emphasize topics such as Radiomics and Machine Learning in Medical Imaging, AI in cancer detection, COVID-19 diagnosis using AI, Advanced Neural Network Applications, Brain Tumor Detection and Classification, Medical Image Segmentation Techniques, and Colorectal Cancer Screening and Detection.

Key recent publications include:

  • Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets, 2020, Nature Communications
  • Federated Learning for Medical Applications: A Taxonomy, Current Trends, Challenges, and Future Research Directions, 2023, IEEE Internet of Things Journal
  • TGANet: Text-Guided Attention for Improved Polyp Segmentation, 2022, Lecture notes in computer science
  • EEG Based Classification of Long-Term Stress Using Psychological Labeling, 2020, Sensors
  • The Impact of COVID-19 on African American Communities in the United States, 2020, Health Equity

The scientist frequently publishes in venues such as arXiv (Cornell University), Lecture notes in computer science, Gastroenterology, Medical Image Analysis, and bioRxiv (Cold Spring Harbor Laboratory).

Frequent co-authors collaborating with Ulas Bagci include:

  • Debesh Jha
  • Görkem Durak
  • Elif Keleş
  • Yury Velichko
  • Nikhil Kumar Tomar

Best Publications

  • Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.

    Stephanie A. Harmon;Thomas H. Sanford;Sheng Xu;Evrim B. Turkbey

  • A review on segmentation of positron emission tomography images

    Brent Foster;Ulas Bagci;Awais Mansoor;Ziyue Xu

  • Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge

    Xiahai Zhuang;Lei Li;Christian Payer;Darko Stern

  • Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends

    Awais Mansoor;Ulas Bagci;Brent Foster;Ziyue Xu

  • Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks.

    Mingchen Gao;Ulas Bagci;Le Lu;Aaron Wu

  • Capsules for Object Segmentation

    Rodney LaLonde;Ulas Bagci

  • Medical Image Segmentation by Combining Graph Cuts and Oriented Active Appearance Models

    Xinjian Chen;J. K. Udupa;U. Bagci;Ying Zhuge

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

    Sarfaraz Hussein;Pujan Kandel;Candice W. Bolan;Michael B. Wallace

  • RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge

    Hrvoje Bogunovic;Freerk Venhuizen;Sophie Klimscha;Stefanos Apostolopoulos

  • How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis

    Maria J. M. Chuquicusma;Sarfaraz Hussein;Jeremy Burt;Ulas Bagci

  • A Generic Approach to Pathological Lung Segmentation

    Awais Mansoor;Ulas Bagci;Ziyue Xu;Brent Foster

  • Real-time Multi-Class Helmet Violation Detection Using Few-Shot Data Sampling Technique and YOLOv8

    Unknown

  • Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images

    Ulas Bagci;Jayaram K. Udupa;Neil Mendhiratta;Neil Mendhiratta;Brent Foster

  • Deep learning beyond cats and dogs: recent advances in diagnosing breast cancer with deep neural networks

    Jeremy R Burt;Jeremy R Burt;Neslisah Torosdagli;Naji Khosravan;Harish RaviPrakash

  • Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning

    Sarfaraz Hussein;Kunlin Cao;Qi Song;Ulas Bagci

  • Deep Geodesic Learning for Segmentation and Anatomical Landmarking

    Neslisah Torosdagli;Denise K. Liberton;Payal Verma;Murat Sincan

  • Quality assurance of computer-aided detection and diagnosis in colonoscopy

    Daniela Guerrero Vinsard;Daniela Guerrero Vinsard;Yuichi Mori;Masashi Misawa;Shin ei Kudo

  • S4ND : Single-Shot Single-Scale Lung Nodule Detection

    Naji Khosravan;Ulas Bagci

  • TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process

    Sarfaraz Hussein;Robert Gillies;Kunlin Cao;Qi Song

  • CardiacNET: Segmentation of left atrium and proximal pulmonary veins from MRI using multi-view CNN

    Aliasghar Mortazi;Rashed Karim;Kawal S. Rhode;Jeremy Burt

  • EEG based Classification of Long-term Stress Using Psychological Labeling.

    Sanay Muhammad Umar Saeed;Syed Muhammad Anwar;Syed Muhammad Anwar;Humaira Khalid;Muhammad Majid

  • Supervised and Unsupervised Tumor Characterization in the Deep Learning Era.

    Sarfaraz Hussein;Maria M. J. Chuquicusma;Pujan Kandel;Candice W. Bolan

Frequent Co-Authors

Ziyue Xu
Ziyue Xu Nvidia (United States)
Li Bai
Li Bai University of Nottingham
Jayaram K. Udupa
Jayaram K. Udupa University of Pennsylvania
Jianhua Yao
Jianhua Yao Tencent (China)
Xinjian Chen
Xinjian Chen Soochow University
Concetto Spampinato
Concetto Spampinato University of Catania
William R. Bishai
William R. Bishai Johns Hopkins University
Colleen B. Jonsson
Colleen B. Jonsson University of Tennessee Health Science Center
Kawal Rhode
Kawal Rhode King's College London
Kostas Marias
Kostas Marias Foundation for Research and Technology Hellas

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