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2020 – today
- 2021
[j36]Samira Masoudi, Sherif Mehralivand, Stephanie A. Harmon, Nathan Lay, Liza Lindenberg, Esther Mena, Peter A. Pinto, Deborah E. Citrin, James L. Gulley
, Bradford J. Wood, William L. Dahut, Ravi A. Madan, Ulas Bagci, Peter L. Choyke, Baris Turkbey:
Deep Learning Based Staging of Bone Lesions From Computed Tomography Scans. IEEE Access 9: 87531-87542 (2021)- [j35]Rodney LaLonde, Ziyue Xu, Ismail Irmakci, Sanjay Jain, Ulas Bagci:
Capsules for biomedical image segmentation. Medical Image Anal. 68: 101889 (2021) - [j34]Amir Emad Marvasti, Ehsan Emad Marvasti, Ulas Bagci, Hassan Foroosh:
Maximum Probability Theorem: A Framework for Probabilistic Machine Learning. IEEE Trans. Artif. Intell. 2(3): 214-227 (2021) - [c65]Carmelo Pino, Simone Palazzo, Francesca Trenta, F. Cordero, Ulas Bagci, Francesco Rundo, Sebastiano Battiato, Daniela Giordano, Marco Aldinucci, Concetto Spampinato:
Interpretable Deep Model For Predicting Gene-Addicted Non-Small-Cell Lung Cancer In Ct Scans. ISBI 2021: 891-894 - [c64]Samira Masoudi, Stephanie A. Harmon, Sherif Mehralivand, Nathan Lay, Ulas Bagci, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Baris Turkbey:
No-Reference Image Quality Assessment Of T2-Weighted Magnetic Resonance Images In Prostate Cancer Patients. ISBI 2021: 1201-1205 - [c63]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning forPancreas Segmentation. MLMI@MICCAI 2021: 238-247 - [c62]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. MLMI@MICCAI 2021: 396-405 - [i56]Ali Nawaz, Syed Muhammad Anwar, Rehan Liaqat, Javid Iqbal, Ulas Bagci, Muhammad Majid:
Deep Convolutional Neural Network based Classification of Alzheimer's Disease using MRI data. CoRR abs/2101.02876 (2021) - [i55]Ugur Demir, Ismail Irmakci, Elif Keles, Ahmet Topcu, Ziyue Xu, Concetto Spampinato, Sachin Jambawalikar, Evrim Turkbey, Baris Turkbey, Ulas Bagci:
Information Bottleneck Attribution for Visual Explanations of Diagnosis and Prognosis. CoRR abs/2104.02869 (2021) - [i54]Rodney LaLonde, Naji Khosravan, Ulas Bagci:
Deformable Capsules for Object Detection. CoRR abs/2104.05031 (2021) - [i53]Federica Proietto Salanitri, Giovanni Bellitto, Ismail Irmakci, Simone Palazzo, Ulas Bagci, Concetto Spampinato:
Hierarchical 3D Feature Learning for Pancreas Segmentation. CoRR abs/2109.01667 (2021) - 2020
- [j33]Sumit Laha, Rodney LaLonde, Austin E. Carmack, Hassan Foroosh, John C. Olson, Saad Shaikh, Ulas Bagci:
Analysis of Video Retinal Angiography With Deep Learning and Eulerian Magnification. Frontiers Comput. Sci. 2: 24 (2020) - [j32]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
EEG Based Classification of Long-Term Stress Using Psychological Labeling. Sensors 20(7): 1886 (2020) - [j31]Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jesse C. Gatlin, Ulas Bagci:
Instance-Level Microtubule Tracking. IEEE Trans. Medical Imaging 39(6): 2061-2075 (2020) - [c61]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. EMBC 2020: 1624-1628 - [c60]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. ICPR 2020: 5820-5827 - [c59]Francesca Murabito, Simone Palazzo, Federica Proietto Salanitri, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato:
Deep Recurrent-Convolutional Model for Automated Segmentation of Craniomaxillofacial CT Scans. ICPR 2020: 9062-9067 - [c58]Simone Palazzo, Giovanni Bellitto, Luca Prezzavento, Francesco Rundo, Ulas Bagci, Daniela Giordano, Rosalia Leonardi, Concetto Spampinato:
Deep Multi-stage Model for Automated Landmarking of Craniomaxillofacial CT Scans. ICPR 2020: 9982-9987 - [c57]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. ISBI 2020: 1086-1090 - [c56]Sobia Yousaf, Harish RaviPrakash, Syed Muhammad Anwar, Nosheen Sohail, Ulas Bagci:
State-of-the-Art in Brain Tumor Segmentation and Current Challenges. MLCN/RNO-AI@MICCAI 2020: 189-198 - [c55]Asma Shaheen, Stefano Burigat, Ulas Bagci, Hassan Mohy-ud-Din:
Overall Survival Prediction in Gliomas Using Region-Specific Radiomic Features. MLCN/RNO-AI@MICCAI 2020: 259-267 - [c54]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction Using Radiomics Features. MLCN/RNO-AI@MICCAI 2020: 284-293 - [c53]Rodney LaLonde, Drew A. Torigian, Ulas Bagci:
Encoding Visual Attributes in Capsules for Explainable Medical Diagnoses. MICCAI (1) 2020: 294-304 - [i52]Rodney LaLonde, Pujan Kandel, Concetto Spampinato, Michael B. Wallace, Ulas Bagci:
Diagnosing Colorectal Polyps in the Wild with Capsule Networks. CoRR abs/2001.03305 (2020) - [i51]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. CoRR abs/2003.00541 (2020) - [i50]Rodney LaLonde, Ziyue Xu, Sanjay Jain, Ulas Bagci:
Capsules for Biomedical Image Segmentation. CoRR abs/2004.04736 (2020) - [i49]Arjun D. Desai, Francesco Calivá, Claudia Iriondo, Naji Khosravan, Aliasghar Mortazi, Sachin Jambawalikar, Drew A. Torigian, Jutta Ellermann, Mehmet Akçakaya, Ulas Bagci, Radhika Tibrewala, Io Flament, Matthew O'Brien, Sharmila Majumdar, Mathias Perslev, Akshay Pai, Christian Igel, Erik B. Dam, Sibaji Gaj, Mingrui Yang, Kunio Nakamura, Xiaojuan Li, Cem M. Deniz, Vladimir Juras, Ravinder Regatte, Garry Gold, Brian A. Hargreaves, Valentina Pedoia, Akshay S. Chaudhari:
The International Workshop on Osteoarthritis Imaging Knee MRI Segmentation Challenge: A Multi-Institute Evaluation and Analysis Framework on a Standardized Dataset. CoRR abs/2004.14003 (2020) - [i48]Samira Masoudi, Syed Muhammad Anwar, Stephanie A. Harmon, Peter L. Choyke, Baris Turkbey, Ulas Bagci:
Adipose Tissue Segmentation in Unlabeled Abdomen MRI using Cross Modality Domain Adaptation. CoRR abs/2005.05761 (2020) - [i47]Sobia Yousaf, Syed Muhammad Anwar, Harish RaviPrakash, Ulas Bagci:
Brain Tumor Survival Prediction using Radiomics Features. CoRR abs/2009.02903 (2020) - [i46]Harish RaviPrakash, Syed Muhammad Anwar, Ulas Bagci:
Variational Capsule Encoder. CoRR abs/2010.09102 (2020)
2010 – 2019
- 2019
- [j30]Joseph N. Stember, Haydar Celik, Elizabeth A. Krupinski, Peter D. Chang, Simukayi Mutasa, Bradford J. Wood, A. Lignelli, Gul Moonis, L. H. Schwartz, Sachin Jambawalikar, Ulas Bagci:
Eye Tracking for Deep Learning Segmentation Using Convolutional Neural Networks. J. Digit. Imaging 32(4): 597-604 (2019) - [j29]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth Jones, Bradford J. Wood, Ulas Bagci:
A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Anal. 51: 101-115 (2019) - [j28]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Guang Yang:
Evaluation of algorithms for Multi-Modality Whole Heart Segmentation: An open-access grand challenge. Medical Image Anal. 58 (2019) - [j27]Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. IEEE Trans. Biomed. Eng. 66(4): 1069-1081 (2019) - [j26]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. IEEE Trans. Medical Imaging 38(4): 919-931 (2019) - [j25]Sarfaraz Hussein, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches. IEEE Trans. Medical Imaging 38(8): 1777-1787 (2019) - [j24]Hrvoje Bogunovic, Freerk G. Venhuizen, Sophie Klimscha, Stefanos Apostolopoulos, Alireza Bab-Hadiashar, Ulas Bagci, Mirza Faisal Beg, Loza Bekalo, Qiang Chen, Carlos Ciller, Karthik Gopinath, Amirali K. Gostar, Kiwan Jeon, Zexuan Ji, Sung Ho Kang, Dara D. Koozekanani, Donghuan Lu, Dustin Morley, Keshab K. Parhi, Hyoung Suk Park, Abdolreza Rashno, Marinko Sarunic, Saad Shaikh, Jayanthi Sivaswamy, Ruwan B. Tennakoon, Shivin Yadav, Sandro De Zanet, Sebastian M. Waldstein, Bianca S. Gerendas, Caroline Klaver, Clara I. Sánchez, Ursula Schmidt-Erfurth:
RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge. IEEE Trans. Medical Imaging 38(8): 1858-1874 (2019) - [c52]Ismail Irmakci, Syed Muhammad Anwar, Drew A. Torigian, Ulas Bagci:
Deep Learning for Musculoskeletal Image Analysis. ACSSC 2019: 1481-1485 - [c51]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. EMBC 2019: 1201-1204 - [c50]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. EMBC 2019: 1247-1250 - [c49]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. RNO-AI@MICCAI 2019: 24-35 - [c48]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-Modality Knowledge Transfer for Prostate Segmentation from CT Scans. DART/MIL3ID@MICCAI 2019: 63-71 - [c47]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. MICCAI (6) 2019: 68-76 - [c46]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. MICCAI (5) 2019: 101-109 - [c45]Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci:
Weakly Supervised Segmentation by a Deep Geodesic Prior. MLMI@MICCAI 2019: 238-246 - [p2]Harish RaviPrakash, Arjun Watane, Sachin Jambawalikar, Ulas Bagci:
Deep Learning for Functional Brain Connectivity: Are We There Yet? Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 347-365 - [p1]Milena Korostenskaja, Harish Raviprakash, Ulas Bagci, Ki H. Lee, P. C. Chen, Christoph Kapeller, C. Salinas, M. Westerveld, Anca L. Ralescu, J. Xiang, James Baumgartner, M. Elsayed, E. M. Castillo:
Gold Standard for Epilepsy/Tumor Surgery Coupled with Deep Learning Offers Independence to a Promising Functional Mapping Modality. Brain-Computer Interface Research (7) 2019: 11-29 - [i45]Samira Masoudi, Afsaneh Razi, Cameron H. G. Wright, Jesse C. Gatlin, Ulas Bagci:
Instance-Level Microtubule Segmentation Using Recurrent Attention. CoRR abs/1901.06006 (2019) - [i44]Xiahai Zhuang, Lei Li, Christian Payer, Darko Stern, Martin Urschler, Mattias P. Heinrich, Julien Oster, Chunliang Wang, Örjan Smedby, Cheng Bian, Xin Yang, Pheng-Ann Heng, Aliasghar Mortazi, Ulas Bagci, Guanyu Yang, Chenchen Sun, Gaetan Galisot, Jean-Yves Ramel, Thierry Brouard, Qianqian Tong, Weixin Si, Xiangyun Liao, Guodong Zeng, Zenglin Shi, Guoyan Zheng, Chengjia Wang, Tom J. MacGillivray, David E. Newby, Kawal S. Rhode, Sébastien Ourselin, Raad Mohiaddin, Jennifer Keegan, David N. Firmin, Guang Yang:
Evaluation of Algorithms for Multi-Modality Whole Heart Segmentation: An Open-Access Grand Challenge. CoRR abs/1902.07880 (2019) - [i43]Neslisah Torosdagli, Mary McIntosh, Denise K. Liberton, Payal Verma, Murat Sincan, Wade W. Han, Janice S. Lee, Ulas Bagci:
Relational Reasoning Network (RRN) for Anatomical Landmarking. CoRR abs/1904.04354 (2019) - [i42]Aamir Arsalan, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Classification of Perceived Human Stress using Physiological Signals. CoRR abs/1905.06384 (2019) - [i41]Aasim Raheel, Muhammad Majid, Syed Muhammad Anwar, Ulas Bagci:
Emotion Classification in Response to Tactile Enhanced Multimedia using Frequency Domain Features of Brain Signals. CoRR abs/1905.10423 (2019) - [i40]Naji Khosravan, Aliasghar Mortazi, Michael B. Wallace, Ulas Bagci:
PAN: Projective Adversarial Network for Medical Image Segmentation. CoRR abs/1906.04378 (2019) - [i39]Rodney LaLonde, Irene Tanner, Katerina Nikiforaki, Georgios Z. Papadakis, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
INN: Inflated Neural Networks for IPMN Diagnosis. CoRR abs/1907.00437 (2019) - [i38]Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, Ulas Bagci:
Electroencephalography based Classification of Long-term Stress using Psychological Labeling. CoRR abs/1907.07671 (2019) - [i37]Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci:
Weakly Supervised Segmentation by A Deep Geodesic Prior. CoRR abs/1908.06498 (2019) - [i36]Yucheng Liu, Naji Khosravan, Yulin Liu, Joseph N. Stember, Jonathan Shoag, Ulas Bagci, Sachin Jambawalikar:
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans. CoRR abs/1908.10208 (2019) - [i35]Rodney LaLonde, Drew A. Torigian, Ulas Bagci:
Encoding High-Level Visual Attributes in Capsules for Explainable Medical Diagnoses. CoRR abs/1909.05926 (2019) - [i34]Syed Muhammad Anwar, Tooba Altaf, Khola Rafique, Harish RaviPrakash, Hassan Mohy-ud-Din, Ulas Bagci:
A Survey on Recent Advancements for AI Enabled Radiomics in Neuro-Oncology. CoRR abs/1910.07470 (2019) - 2018
- [j23]Mingchen Gao, Ulas Bagci, Le Lu, Aaron Wu, Mario Buty, Hoo-Chang Shin, Holger Roth, Georgios Z. Papadakis, Adrien Depeursinge, Ronald M. Summers, Ziyue Xu, Daniel J. Mollura:
Holistic classification of CT attenuation patterns for interstitial lung diseases via deep convolutional neural networks. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 6(1): 1-6 (2018) - [j22]Ziyue Xu, Mingchen Gao, Georgios Z. Papadakis, Brian Luna, Sanjay Jain, Daniel J. Mollura, Ulas Bagci:
Joint solution for PET image segmentation, denoising, and partial volume correction. Medical Image Anal. 46: 229-243 (2018) - [c44]Naji Khosravan, Ulas Bagci:
Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis. EMBC 2018: 710-713 - [c43]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis. ISBI 2018: 240-244 - [c42]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis. ISBI 2018: 800-804 - [c41]Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. MLMI@MICCAI 2018: 98-106 - [c40]Naji Khosravan, Ulas Bagci:
S4ND: Single-Shot Single-Scale Lung Nodule Detection. MICCAI (2) 2018: 794-802 - [i33]Sarfaraz Hussein, Maria M. J. Chuquicusma, Pujan Kandel, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. CoRR abs/1801.03230 (2018) - [i32]Naji Khosravan, Ulas Bagci:
Semi-supervised multi-task learning for lung cancer diagnosis. CoRR abs/1802.06181 (2018) - [i31]Naji Khosravan, Haydar Celik, Baris Turkbey, Elizabeth Jones, Bradford J. Wood, Ulas Bagci:
A Collaborative Computer Aided Diagnosis (C-CAD) System with Eye-Tracking, Sparse Attentional Model, and Deep Learning. CoRR abs/1802.06260 (2018) - [i30]Rodney LaLonde, Ulas Bagci:
Capsules for Object Segmentation. CoRR abs/1804.04241 (2018) - [i29]Naji Khosravan, Ulas Bagci:
S4ND: Single-Shot Single-Scale Lung Nodule Detection. CoRR abs/1805.02279 (2018) - [i28]Nandakishore Puttashamachar, Ulas Bagci:
End to End Brain Fiber Orientation Estimation using Deep Learning. CoRR abs/1806.03969 (2018) - [i27]Aliasghar Mortazi, Ulas Bagci:
Automatically Designing CNN Architectures for Medical Image Segmentation. CoRR abs/1807.07663 (2018) - [i26]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice S. Lee, Ulas Bagci:
Deep Geodesic Learning for Segmentation and Anatomical Landmarking. CoRR abs/1810.04021 (2018) - [i25]Ismail Irmakci, Sarfaraz Hussein, Aydogan Savran, Rita R. Kalyani, David Reiter, Chee W. Chia, Kenneth W. Fishbein, Richard G. S. Spencer, Luigi Ferrucci, Ulas Bagci:
A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. CoRR abs/1810.06071 (2018) - [i24]Enes Karaaslan, Ulas Bagci, F. Necati Catbas:
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems. CoRR abs/1812.05659 (2018) - 2017
- [j21]Dehui Xiang, Ulas Bagci, Chao Jin, Fei Shi, Weifang Zhu, Jianhua Yao, Milan Sonka, Xinjian Chen:
CorteXpert: A model-based method for automatic renal cortex segmentation. Medical Image Anal. 42: 257-273 (2017) - [j20]Ivica Kopriva, Wei Ju, Bin Zhang, Fei Shi, Dehui Xiang, Kai Yu, Ximing Wang, Ulas Bagci, Xinjian Chen:
Single-Channel Sparse Non-Negative Blind Source Separation Method for Automatic 3-D Delineation of Lung Tumor in PET Images. IEEE J. Biomed. Health Informatics 21(6): 1656-1666 (2017) - [j19]Sarfaraz Hussein, Aileen Green, Arjun Watane, David Reiter, Xinjian Chen, Georgios Z. Papadakis, Bradford J. Wood, Aaron Cypess, Medhat M. Osman, Ulas Bagci:
Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Trans. Medical Imaging 36(3): 734-744 (2017) - [c39]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci:
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. IPMI 2017: 249-260 - [c38]Sarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process. ISBI 2017: 1007-1010 - [c37]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumanta N. Pattanaik, Ulas Bagci:
Robust and fully automated segmentation of mandible from CT scans. ISBI 2017: 1209-1212 - [c36]Aliasghar Mortazi, Jeremy Burt, Ulas Bagci:
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. STACOM@MICCAI 2017: 199-206 - [c35]Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci:
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-view CNN. MICCAI (2) 2017: 377-385 - [c34]Harish RaviPrakash, Milena Korostenskaja, Ki Lee, James Baumgartner, Eduardo Castillo, Ulas Bagci:
Automatic response assessment in regions of language cortex in epilepsy patients using ECoG-based functional mapping and machine learning. SMC 2017: 519-524 - [i23]Neslisah Torosdagli, Denise K. Liberton, Payal Verma, Murat Sincan, Janice Lee, Sumanta N. Pattanaik, Ulas Bagci:
Robust and fully automated segmentation of mandible from CT scans. CoRR abs/1702.07059 (2017) - [i22]Sarfaraz Hussein, Robert Gillies, Kunlin Cao, Qi Song, Ulas Bagci:
TumorNet: Lung Nodule Characterization Using Multi-View Convolutional Neural Network with Gaussian Process. CoRR abs/1703.00645 (2017) - [i21]Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci:
Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning. CoRR abs/1704.08797 (2017) - [i20]Aliasghar Mortazi, Rashed Karim, Kawal S. Rhode, Jeremy Burt, Ulas Bagci:
CardiacNET: Segmentation of Left Atrium and Proximal Pulmonary Veins from MRI Using Multi-View CNN. CoRR abs/1705.06333 (2017) - [i19]Harish RaviPrakash, Milena Korostenskaja, Eduardo Castillo, Ki Lee, James Baumgartner, Ulas Bagci:
Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning. CoRR abs/1706.01380 (2017) - [i18]Aliasghar Mortazi, Jeremy Burt, Ulas Bagci:
Multi-Planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. CoRR abs/1708.00983 (2017) - [i17]Dustin Morley, Hassan Foroosh, Saad Shaikh, Ulas Bagci:
Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning. CoRR abs/1708.05464 (2017) - [i16]Maria J. M. Chuquicusma, Sarfaraz Hussein, Jeremy Burt, Ulas Bagci:
How to Fool Radiologists with Generative Adversarial Networks? A Visual Turing Test for Lung Cancer Diagnosis. CoRR abs/1710.09762 (2017) - [i15]Sarfaraz Hussein, Pujan Kandel, Juan E. Corral, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis. CoRR abs/1710.09779 (2017) - 2016
- [j18]Yuwei Zhou, Uygar Teomete, Ozgür Dandin, Onur Osman, Taner Dandinoglu, Ulas Bagci, Weizhao Zhao:
Computer-Aided Detection (CADx) for Plastic Deformation Fractures in Pediatric Forearm. Comput. Biol. Medicine 78: 120-125 (2016) - [j17]Sema Candemir, Stefan Jaeger, Sameer K. Antani, Ulas Bagci, Les R. Folio, Ziyue Xu, George R. Thoma:
Atlas-based rib-bone detection in chest X-rays. Comput. Medical Imaging Graph. 51: 32-39 (2016) - [c33]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. MCV/BAMBI@MICCAI 2016: 94-104 - [c32]Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura:
Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI (1) 2016: 662-670 - [i14]Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan S. McCreedy, Matthew J. McAuliffe, Sandra Bednarova, Elizabeth Jones, Xinjian Chen, Peter L. Choyke, Bradford J. Wood, Ulas Bagci:
Gaze2Segment: A Pilot Study for Integrating Eye-Tracking Technology into Medical Image Segmentation. CoRR abs/1608.03235 (2016) - [i13]Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura:
Characterization of Lung Nodule Malignancy using Hybrid Shape and Appearance Features. CoRR abs/1609.06668 (2016) - 2015
- [j16]Ziyue Xu, Ulas Bagci, Brent Foster, Awais Mansoor, Jayaram K. Udupa, Daniel J. Mollura:
A hybrid method for airway segmentation and automated measurement of bronchial wall thickness on CT. Medical Image Anal. 24(1): 1-17 (2015) - [j15]Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura:
Correction to "A Generic Approach to Pathological Lung Segmentation". IEEE Trans. Medical Imaging 34(1): 354 (2015) - [c31]Ziyue Xu, Ulas Bagci, Mingchen Gao, Daniel J. Mollura:
Highly precise partial volume correction for PET images: An iterative approach via shape consistency. ISBI 2015: 1196-1199 - [i12]Sarfaraz Hussein, Aileen Green, Arjun Watane, Georgios Z. Papadakis, Medhat M. Osman, Ulas Bagci:
Context Driven Label Fusion for segmentation of Subcutaneous and Visceral Fat in CT Volumes. CoRR abs/1512.04958 (2015) - 2014
- [j14]Brent Foster, Ulas Bagci, Awais Mansoor, Ziyue Xu, Daniel J. Mollura:
A review on segmentation of positron emission tomography images. Comput. Biol. Medicine 50: 76-96 (2014) - [j13]Brent Foster, Ulas Bagci, Ziyue Xu, Bappaditya Dey, Brian Luna, William Bishai, Sanjay Jain, Daniel J. Mollura:
Segmentation of PET Images for Computer-Aided Functional Quantification of Tuberculosis in Small Animal Models. IEEE Trans. Biomed. Eng. 61(3): 711-724 (2014) - [j12]Awais Mansoor, Ulas Bagci, Ziyue Xu, Brent Foster, Kenneth N. Olivier, Jason M. Elinoff, Anthony F. Suffredini, Jayaram K. Udupa, Daniel J. Mollura:
A Generic Approach to Pathological Lung Segmentation. IEEE Trans. Medical Imaging 33(12): 2293-2310 (2014) - [c30]Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura:
CIDI-lung-seg: A single-click annotation tool for automatic delineation of lungs from CT scans. EMBC 2014: 1087-1090 - [c29]Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura:
Efficient ribcage segmentation from CT scans using shape features. EMBC 2014: 2899-2902 - [c28]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Near-optimal keypoint sampling for fast pathological lung segmentation. EMBC 2014: 6032-6035 - [c27]Ziyue Xu, Ulas Bagci, Colleen Jonsson, Sanjay Jain, Daniel J. Mollura:
Accurate and efficient separation of left and right lungs from 3D CT scans: A generic hysteresis approach. EMBC 2014: 6036-6039 - [c26]Awais Mansoor, Ulas Bagci, Daniel J. Mollura:
Optimally Stabilized PET Image Denoising Using Trilateral Filtering. MICCAI (1) 2014: 130-137 - [c25]Ziyue Xu, Ulas Bagci, Jurgen Seidel, David Thomasson, Jeffrey M. Solomon, Daniel J. Mollura:
Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI (1) 2014: 698-705 - [i11]Awais Mansoor, Ulas Bagci, Brent Foster, Ziyue Xu, Deborah Douglas, Jeffrey M. Solomon, Jayaram K. Udupa, Daniel J. Mollura:
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans. CoRR abs/1407.3176 (2014) - [i10]