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ORCIDUlas Bagci
- > Home > Persons > Ulas Bagci
Publications
- 2024
[i119]Zheyuan Zhang, Elif Keles, Gorkem Durak, Yavuz Taktak, Onkar Susladkar, Vandan Gorade, Debesh Jha, Asli C. Ormeci, Alpay Medetalibeyoglu, Lanhong Yao, Bin Wang, Ilkin Sevgi Isler, Linkai Peng, Hongyi Pan, Camila Lopes Vendrami, Amir Bourhani, Yury Velichko, Boqing Gong, Concetto Spampinato, Ayis Pyrros, Pallavi Tiwari, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Emil Agarunov, Nassier Harfouch, Chenchan Huang, Marco J. Bruno, Ivo Schoots, Rajesh N. Keswani, Frank H. Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Baris Turkbey, Michael B. Wallace, Ulas Bagci:
Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning. CoRR abs/2405.12367 (2024)- 2023
- [c79]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. MLMI@MICCAI (2) 2023: 134-143 - [i109]Tara M. Pattilachan, Ugur Demir, Elif Keles, Debesh Jha, Derk C. F. Klatte, Megan Engels, Sanne Hoogenboom, Candice W. Bolan, Michael B. Wallace, Ulas Bagci:
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications. CoRR abs/2301.02181 (2023) - [i87]Lanhong Yao, Zheyuan Zhang, Ugur Demir, Elif Keles, Camila Vendrami, Emil Agarunov, Candice W. Bolan, Ivo Schoots, Marc J. Bruno, Rajesh Keswani, Frank Miller, Tamas Gonda, Cemal Yazici, Temel Tirkes, Michael B. Wallace, Concetto Spampinato, Ulas Bagci:
Radiomics Boosts Deep Learning Model for IPMN Classification. CoRR abs/2309.05857 (2023) - 2022
- [c75]Federica Proietto Salanitri
, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. EMBC 2022: 475-479 - [i65]Federica Proietto Salanitri, Giovanni Bellitto, Simone Palazzo, Ismail Irmakci, Michael B. Wallace, Candice W. Bolan, Megan Engels, Sanne Hoogenboom, Marco Aldinucci, Ulas Bagci, Daniela Giordano, Concetto Spampinato:
Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images. CoRR abs/2206.10531 (2022) - 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) - [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 - [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) - 2018
- [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 - [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) - 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)
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