Dr. Ulas Bagci,
Center for Research in Computer Vision (CRCV), UCF.

Professor @ CRCV  •  Faculty @ CS / UCF  •  Home  •  Courses  •  CRCV  •  Publications  •  Blog  •  Group Members
2018/November New Paper in Journal of the Transportation Research Board, AI assisted infrastructure assessment using mixed reality systems authors: (Karaaslan, Bagci, and Catbas)
2018/October I gave a talk as a "Featured Speaker" in MICR-2018 RCAI: Radiologist-Centered AI for Lung Cancer Diagnosis
2018/October New Paper in Medical Image Analysis C-CAD: Collaborative CAD with Eye-Tracking, Sparse Attentional Model, and Deep Learning
2018/October New Paper in IEEE Trans. Medical Imaging (Deep Geodesic Learning for Anatomy Segmentation and Landmarking)!
2018/October I joined Plos One as an Academic Editor in Artificial Intelligence/Deep Learning, Radiology and Imaging Sciences, and Biomedical imaging/image analysis fields
2018/September Media Release (FoxTV Interview) - Highly Accurate Lung Cancer Detection from CT Scans !
2018/August Recent Media Releases - Highly Accurate Lung Cancer Detection from CT Scans !
2018/August New Paper in IEEE Trans. Biomedical Eng (Muscle/Fat Separation and Whole Body Segmentation from MRI)!
2018/July New Paper in MLMI/MICCAI 2018 (Automatically Design CNNs for Segmentation)!
2018/June Patent issued (Fat Quantification-Brown/White, Regional, Organ, and Whole Body)!
2018/June Cardiac Image Analysis with Deep Learning (RSNA 2018-Accepted)
2018/June Virtual Radiologists: Current Status of Deep Learning in Radiology and Its Future Trends (RSNA 2018-Accepted)
2018/June Congratulations to Sarfaraz Hussein who successfully defended his PhD thesis!
2018/May One paper to appear in MICCAI 2018 S4ND: Lung Cancer Detection in one shot! Best ever results!
2018/April Our new method SegCaps is out "Capsules for Object Segmentation"
2018/April New Paper in British Journal of Radiology "Deep Learning Beyond Cats and Dogs: Recent Advances in Diagnosing Breast Cancer with Deep Neural Networks"
2018/April New Paper in IEEE EMBC 2018 "Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis"
2018/March New Paper in Medical Image Analysis journal "Joint Solution for PET Image Segmentation, Denoising, and Partial Volume Correcttion" 2018
2017/December Our "Deep Learning for Radiology Applications" study received RSNA Merit Award, 2017
2017/December Our Visual Turing experiment paper "How to Fool Radiologists with GAN" was accepted for IEEE ISBI 2018
2017/December Our Deep Learning based IPMN (Pancreatic Cyst) Diagnosis paper was accepted for IEEE ISBI 2018
2017/September Our kidney and cortex segmentation work appears in Medical Image Analysis Journal
2017/August Harish's work is nominated for BCI 2017 award: Gold Standard for epilepsy/tumor surgery coupled with deep learning offers independence to a promising functional mapping modality
2017/August Our deep learning based retinal fluid detection and quantification paper is accepted to MICCAI-RETOUCH Challenge
2017/July MICCAI-Multimodality Whole Heart Segmentation paper is accepted for publication.
2017/July Aliasghar was enlisted as one of the AHA CVRI Young investigator award finalists for his deep learning based Cardiovascular MRI analysis work.
2017/July RSNA 2017 abstract is accepted as podium presnetation: Title: Deep Learning for Cardiac MRI: Automatically Segmenting Left Atrium Expert Human Level Performance
2017/: Our new paper on benefits of low dose CT imaging is published and highlighted in the cover of journal "Tomography"
2017/: IEEE SMC 2017 Paper Accepted: Machine Learning for Identification of Language Cortex in Epilepsy Patients
2017/: CardiacNET paper is accepted to MICCAI 2017! (the best accuracy and efficiency for the left atrium segmentation)
2017/: Lung Cancer Diagnosis paper using Deep Multi-Task Learning is accepted for publication in IPMI 2017!
2017/: Brown Fat is associated with less visceral fat! New paper in Nuclear Medicine Communications!
2017/: ISMRM 2017 abstract (eye-tracking for Multiparametric MRI)!
2017/: Two Papers are accepted to IEEE ISBI 2017!
2016/: A New Paper (Fat Quantification) on IEEE Transactions on Medical Imaging!
2016/: A New Paper (PET Image Segmentation) on IEEE Journal of Biomedical and Health Informatics!

Click Here for news at CRCV!


[Ulas Bagci in 2015]
Ulas Bagci in 2009
Name: Ulas Bagci
URL: http://www.cs.ucf.edu/~bagci
Work number: (+1) 407-823-1047
Fax number: (+1) 407-823-0594
CRCV Assistant: Tonya LaPrarie
Mailing address: Dr. Ulas Bagci
Center for Research in Computer Vision (CRCV)
4328 Scorpius Street, HEC 221, UCF

Orlando, Florida 32816, USA.

Last updated September, 2015 by Ulas Bagci.