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Bilinear MobileNets for Multi-class Brain Disease Classification Based on Magnetic Resonance Images

IEEE Region 10 Symposium (TENSYMP), 2021

Dewinda Julianensi Rumala, Eko Mulyanto Yuniarno, Reza Fuad Rachmadi, Supeno Mardi Susiki Nugroho, Yudhi Adrianto, Anggraini Dwi Sensusiati, I Ketut Eddy Purnama
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The Effect of Noisy and Blurry Data on Deep Learning: Application in Brain Image Classification

IEEE Region 10 Conference (TENCON), 2022, 2022

Dewinda Julianensi Rumala
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Deep-Stacked Convolutional Neural Networks for Brain Abnormality Classification Based on MRI Images

Journal of Digital Imaging, Springer, 2023

Dewinda Julianensi Rumala, Peter van Ooijen, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, and I Ketut Eddy Purnama
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How You Split Matters: Data Leakage and Subject Characteristics Studies in Longitudinal Brain MRI Analysis

MICCAI FAIMI, 2023

Dewinda Julianensi Rumala
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Lite FBCN: Lightweight Fast Bilinear Convolutional Network for Brain Disease Classification from MRI Image

EMITTER International Journal of Engineering Technology, 2024

Dewinda Julianensi Rumala, Reza Fuad Rachmadi, Anggraini Dwi Sensusiati, and I Ketut Eddy Purnama
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Lightweight Deep Learning Models for Robust Brain MRI Classification in Limited Data Scenarios

Submitted, 2024

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Lite-FBCN

Submitted, 2024

Dewinda Julianensi Rumala, Anggraini Dwi Sensusiati, Reza Fuad Rachmadi, and I Ketut Eddy Purnama
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Talk 1 on Relevant Topic in Your Field

Published: March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Published: March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Published: February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Published: March 01, 2014

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