Author of the publication

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

S. Hussein, P. Kandel, C. Bolan, M. Wallace, and U. Bagci. IEEE Trans. Medical Imaging, 38 (8): 1777-1787 (2019)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wilhelm Boland

David Boland

Gerda Boland

Wilhelm Boland

Max Bolanz

Other publications of authors with the same name

A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications.T. Pattilachan, U. Demir, E. Keles, D. Jha, D. Klatte, M. Engels, S. Hoogenboom, C. Bolan, M. Wallace, and U. Bagci. CoRR, (2023)Deep multi-modal classification of intraductal papillary mucinous neoplasms (IPMN) with canonical correlation analysis.S. Hussein, P. Kandel, J. Corral, C. Bolan, M. Wallace, and U. Bagci. ISBI, page 800-804. IEEE, (2018)INN: Inflated Neural Networks for IPMN Diagnosis.R. LaLonde, I. Tanner, K. Nikiforaki, G. Papadakis, P. Kandel, C. Bolan, M. Wallace, and U. Bagci. MICCAI (5), volume 11768 of Lecture Notes in Computer Science, page 101-109. Springer, (2019)Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.S. Hussein, P. Kandel, C. Bolan, M. Wallace, and U. Bagci. IEEE Trans. Medical Imaging, 38 (8): 1777-1787 (2019)Deep Multi-Modal Classification of Intraductal Papillary Mucinous Neoplasms (IPMN) with Canonical Correlation Analysis.S. Hussein, P. Kandel, J. Corral, C. Bolan, M. Wallace, and U. Bagci. CoRR, (2017)Neural Transformers for Intraductal Papillary Mucosal Neoplasms (IPMN) Classification in MRI images.F. Salanitri, G. Bellitto, S. Palazzo, I. Irmakci, M. Wallace, C. Bolan, M. Engels, S. Hoogenboom, M. Aldinucci, U. Bagci and 2 other author(s). EMBC, page 475-479. IEEE, (2022)Supervised and Unsupervised Tumor Characterization in the Deep Learning Era.S. Hussein, M. Chuquicusma, P. Kandel, C. Bolan, M. Wallace, and U. Bagci. CoRR, (2018)Radiomics Boosts Deep Learning Model for IPMN Classification.L. Yao, Z. Zhang, U. Demir, E. Keles, C. Vendrami, E. Agarunov, C. Bolan, I. Schoots, M. Bruno, R. Keswani and 7 other author(s). MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 134-143. Springer, (2023)

BibSonomy

Disambiguation of "Bolan, Candice W."

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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

Please choose a person to relate this publication to

Wilhelm Boland

David Boland

Gerda Boland

Wilhelm Boland

Max Bolanz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bolan, Candice W."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Lung and Pancreatic Tumor Characterization in the Deep Learning Era: Novel Supervised and Unsupervised Learning Approaches.

Please choose a person to relate this publication to

Wilhelm Boland

David Boland

Gerda Boland

Wilhelm Boland

Max Bolanz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

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