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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, F. Miller, T. Gonda, C. Yazici, T. Tirkes, M. Wallace, C. Spampinato, and U. Bagci. MLMI@MICCAI (2), volume 14349 of Lecture Notes in Computer Science, page 134-143. Springer, (2023)

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Melek Bagci

Die Studienfachwahl der türkischen Studierenden im Zusammenhang zur Entstehung von Identitätskonstruktionen sowie Motivations- und Interessenfaktoren: eine qualitative BiographieforschungM. Bagci. FU Berlin, (2009)

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

Other publications of authors with the same name

Deep Learning for Musculoskeletal Image Analysis.I. Irmakci, S. Anwar, D. Torigian, and U. Bagci. CoRR, (2020)Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning.D. Morley, H. Foroosh, S. Shaikh, and U. Bagci. CoRR, (2017)Enhancing organ at risk segmentation with improved deep neural networks.I. Isler, C. Lisle, J. Rineer, P. Kelly, D. Turgut, J. Ricci, and U. Bagci. Medical Imaging: Image Processing, volume 12032 of SPIE Proceedings, SPIE, (2022)How to fool radiologists with generative adversarial networks? A visual turing test for lung cancer diagnosis.M. Chuquicusma, S. Hussein, J. Burt, and U. Bagci. ISBI, page 240-244. IEEE, (2018)TumorNet: Lung nodule characterization using multi-view Convolutional Neural Network with Gaussian Process.S. Hussein, R. Gillies, K. Cao, Q. Song, and U. Bagci. ISBI, page 1007-1010. IEEE, (2017)An Efficient Multi-Scale Fusion Network for 3D Organs at Risk (OARs) Segmentation.A. Srivastava, D. Jha, E. Keles, B. Aydogan, M. Abazeed, and U. Bagci. EMBC, page 1-4. IEEE, (2023)Predicting RF Heating of Conductive Leads During Magnetic Resonance Imaging at 1.5 T: A Machine Learning Approach*.C. Zheng, X. Chen, B. Nguyen, P. Sanpitak, J. Vu, U. Bagci, and L. Golestanirad. EMBC, page 4204-4208. IEEE, (2021)Joint solution for PET image segmentation, denoising, and partial volume correction.Z. Xu, M. Gao, G. Papadakis, B. Luna, S. Jain, D. Mollura, and U. Bagci. Medical Image Anal., (2018)Joint segmentation of anatomical and functional images: Applications in quantification of lesions from PET, PET-CT, MRI-PET, and MRI-PET-CT images.U. Bagci, J. Udupa, N. Mendhiratta, B. Foster, Z. Xu, J. Yao, X. Chen, and D. Mollura. Medical Image Anal., 17 (8): 929-945 (2013)Atlas-based rib-bone detection in chest X-rays.S. Candemir, S. Jaeger, S. Antani, U. Bagci, L. Folio, Z. Xu, and G. Thoma. Comput. Medical Imaging Graph., (2016)

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Disambiguation of "Bagci, Ulas"

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Radiomics Boosts Deep Learning Model for IPMN Classification.

Please choose a person to relate this publication to

Melek Bagci

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Bagci, Ulas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Radiomics Boosts Deep Learning Model for IPMN Classification.

Please choose a person to relate this publication to

Melek Bagci

Ulas Aktas

Faruk Bagci

Ahmet Bagci

Faruk Bagci

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
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APA
Chicago
DIN 1505
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Radiomics Boosts Deep Learning Model for IPMN Classification.