no code implementations • 29 Apr 2024 • Akash Awasthi, Safwan Ahmad, Bryant Le, Hien Van Nguyen
The prevalence of errors in CXR diagnoses, particularly among inexperienced radiologists and hospital residents, underscores the importance of understanding radiologists' intentions and the corresponding regions of interest.
no code implementations • 25 May 2023 • Akash Awasthi, Son Ly, Jaer Nizam, Samira Zare, Videet Mehta, Safwan Ahmed, Keshav Shah, Ramakrishna Nemani, Saurabh Prasad, Hien Van Nguyen
The definition of anomaly detection is the identification of an unexpected event.
no code implementations • 12 Oct 2022 • Syed Rizvi, Akash Awasthi, Maria J. Peláez, Zhihui Wang, Vittorio Cristini, Hien Van Nguyen, Prashant Dogra
The COVID-19 pandemic has affected countries across the world, demanding drastic public health policies to mitigate the spread of infection, leading to economic crisis as a collateral damage.
1 code implementation • 17 Jul 2021 • Samira Zare, Hien Van Nguyen
This is in part due to the increasing number of important tasks such as meta-learning, clustering, and anomaly detection that are defined on set inputs.
no code implementations • 6 Apr 2021 • Pengyu Yuan, Wenyi Hu, Xuqing Wu, Jiefu Chen, Hien Van Nguyen
Similar to \cite{wu2019semi}, we use U-net to perform the segmentation as it is proven to be state-of-the-art in many image segmentation tasks.
no code implementations • 1 Jan 2021 • Aryan Mobiny, Pietro Antonio Cicalese, Hien Van Nguyen
Capsule Networks (CapsNets) have shown to be a promising alternative to Convolutional Neural Networks (CNNs) in many computer vision tasks, due to their ability to encode object viewpoint variations.
1 code implementation • 18 Nov 2020 • Pietro A. Cicalese, Aryan Mobiny, Zahed Shahmoradi, Xiongfeng Yi, Chandra Mohan, Hien Van Nguyen
The kidney biopsy based diagnosis of Lupus Nephritis (LN) is characterized by low inter-observer agreement, with misdiagnosis being associated with increased patient morbidity and mortality.
no code implementations • 9 Jul 2020 • Aryan Mobiny, Pengyu Yuan, Pietro Antonio Cicalese, Hien Van Nguyen
We provide extensive experiments on the CheXpert and RSNA Pneumonia datasets to validate the effectiveness of DECAPS.
1 code implementation • 9 Jul 2020 • Pietro Antonio Cicalese, Aryan Mobiny, Pengyu Yuan, Jan Becker, Chandra Mohan, Hien Van Nguyen
We also generated Grad-CAM representations of the results which were assessed by an experienced nephropathologist; we used this qualitative analysis to elucidate on the assumptions being made by each model.
no code implementations • 9 Jul 2020 • Pengyu Yuan, Aryan Mobiny, Jahandar Jahanipour, Xiaoyang Li, Pietro Antonio Cicalese, Badrinath Roysam, Vishal Patel, Maric Dragan, Hien Van Nguyen
Meta-learning aims to deliver an adaptive model that is sensitive to these underlying distribution changes, but requires many tasks during the meta-training process.
1 code implementation • 16 Apr 2020 • Aryan Mobiny, Pietro Antonio Cicalese, Samira Zare, Pengyu Yuan, Mohammadsajad Abavisani, Carol C. Wu, Jitesh Ahuja, Patricia M. de Groot, Hien Van Nguyen
The network then uses the activation maps to focus on regions of interest and combines both coarse and fine-grained representations of the data.
1 code implementation • 19 Jun 2018 • Aryan Mobiny, Hien Van Nguyen
We show that CapsNets significantly outperforms CNNs when the number of training samples is small.
no code implementations • 11 Oct 2017 • Aryan Mobiny, Supratik Moulik, Hien Van Nguyen
In this paper, we investigate the effectiveness of deep learning techniques for lung nodule classification in computed tomography scans.
no code implementations • ICCV 2015 • Raviteja Vemulapalli, Hien Van Nguyen, Shaohua Kevin Zhou
Our experiments on generating T1-MRI brain scans from T2-MRI and vice versa demonstrate that the synthesis capability of the proposed unsupervised approach is comparable to various state-of-the-art supervised approaches in the literature.