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Realistic Ultrasound Image Synthesis for Improved Classification of Liver Disease


Jul 27, 2021
Hui Che, Sumana Ramanathan, David Foran, John L Nosher, Vishal M Patel, Ilker Hacihaliloglu

* Accepted for presentation at the 2021 MICCAI-International Workshop of Advances in Simplifying Medical UltraSound (ASMUS2021) 

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Multi-Feature Semi-Supervised Learning for COVID-19 Diagnosis from Chest X-ray Images


Apr 14, 2021
Xiao Qi, John L. Nosher, David J. Foran, Ilker Hacihaliloglu


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Multi-Feature Multi-Scale CNN-Derived COVID-19 Classification from Lung Ultrasound Data


Feb 23, 2021
Hui Che, Jared Radbel, Jag Sunderram, John L. Nosher, Vishal M. Patel, Ilker Hacihaliloglu


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Medical Transformer: Gated Axial-Attention for Medical Image Segmentation


Feb 21, 2021
Jeya Maria Jose Valanarasu, Poojan Oza, Ilker Hacihaliloglu, Vishal M. Patel


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Chest X-ray Image Phase Features for Improved Diagnosis of COVID-19 Using Convolutional Neural Network


Nov 06, 2020
Xiao Qi, Lloyd Brown, David J. Foran, Ilker Hacihaliloglu

* 16 pages, 9 figures 

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KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation


Oct 04, 2020
Jeya Maria Jose Valanarasu, Vishwanath A. Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

* Journal Extension of KiU-Net (MICCAI-2020) 

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KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete Representations


Jun 08, 2020
Jeya Maria Jose, Vishwanath Sindagi, Ilker Hacihaliloglu, Vishal M. Patel

* Provisionally Accepted at MICCAI 2020 

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Learning to Segment Brain Anatomy from 2D Ultrasound with Less Data


Dec 18, 2019
Jeya Maria Jose V., Rajeev Yasarla, Puyang Wang, Ilker Hacihaliloglu, Vishal M. Patel


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Simultaneous Segmentation and Classification of Bone Surfaces from Ultrasound Using a Multi-feature Guided CNN


Jun 26, 2018
Puyang Wang, Vishal M. Patel, Ilker Hacihaliloglu


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Adversarial Domain Adaptation for Classification of Prostate Histopathology Whole-Slide Images


Jun 06, 2018
Jian Ren, Ilker Hacihaliloglu, Eric A. Singer, David J. Foran, Xin Qi

* Accepted to MICCAI 2018 

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