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09/20/2023
Uncovering the effects of model initialization on deep model generalization: A study with adult and pediatric Chest X-ray images
Model initialization techniques are vital for improving the performance ...
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09/18/2023
Semantically Redundant Training Data Removal and Deep Model Classification Performance: A Study with Chest X-rays
Deep learning (DL) has demonstrated its innate capacity to independently...
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01/10/2023
Does image resolution impact chest X-ray based fine-grained Tuberculosis-consistent lesion segmentation?
Deep learning (DL) models are becoming state-of-the-art in segmenting an...
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11/04/2022
Generalizability of Deep Adult Lung Segmentation Models to the Pediatric Population: A Retrospective Study
Lung segmentation in chest X-rays (CXRs) is an important prerequisite fo...
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06/13/2022
Deep ensemble learning for segmenting tuberculosis-consistent manifestations in chest radiographs
Automated segmentation of tuberculosis (TB)-consistent lesions in chest ...
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06/01/2022
Higher-Order Attention Networks
This paper introduces higher-order attention networks (HOANs), a novel c...
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04/01/2022
Robust Neonatal Face Detection in Real-world Clinical Settings
Current face detection algorithms are extremely generalized and can obta...
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03/11/2022
WiCV 2021: The Eighth Women In Computer Vision Workshop
In this paper, we present the details of Women in Computer Vision Worksh...
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10/06/2021
Data-Centric AI Requires Rethinking Data Notion
The transition towards data-centric AI requires revisiting data notions ...
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09/29/2021
Multi-loss ensemble deep learning for chest X-ray classification
Class imbalance is common in medical image classification tasks, where t...
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08/05/2021
Pattern Recognition in Vital Signs Using Spectrograms
Spectrograms visualize the frequency components of a given signal which ...
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06/17/2021
Trilateral Attention Network for Real-time Medical Image Segmentation
Accurate segmentation of medical images into anatomically meaningful reg...
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04/09/2021
Improved TB classification using bone-suppressed chest radiographs
Chest X-rays (CXRs) are the most commonly performed diagnostic examinati...
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03/06/2021
Simplicial Complex Representation Learning
Simplicial complexes form an important class of topological spaces that ...
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02/25/2021
Persistent Homology and Graphs Representation Learning
This article aims to study the topological invariant properties encoded ...
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01/21/2021
TDA-Net: Fusion of Persistent Homology and Deep Learning Features for COVID-19 Detection in Chest X-Ray Images
Topological Data Analysis (TDA) has emerged recently as a robust tool to...
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12/03/2020
Multimodal Spatio-Temporal Deep Learning Approach for Neonatal Postoperative Pain Assessment
The current practice for assessing neonatal postoperative pain relies on...
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12/02/2020
Algebraically-Informed Deep Networks (AIDN): A Deep Learning Approach to Represent Algebraic Structures
One of the central problems in the interface of deep learning and mathem...
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11/15/2020
Accounting for Affect in Pain Level Recognition
In this work, we address the importance of affect in automated pain asse...
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10/02/2020
Cell Complex Neural Networks
Cell complexes are topological spaces constructed from simple blocks cal...
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06/19/2020
Unified Representation Learning for Efficient Medical Image Analysis
Medical image analysis typically includes several tasks such as image en...
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03/24/2020
First Investigation Into the Use of Deep Learning for Continuous Assessment of Neonatal Postoperative Pain
This paper presents the first investigation into the use of fully automa...
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09/05/2019
Harnessing the Power of Deep Learning Methods in Healthcare: Neonatal Pain Assessment from Crying Sound
Neonatal pain assessment in clinical environments is challenging as it i...
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08/25/2019
Multi-Channel Neural Network for Assessing Neonatal Pain from Videos
Neonates do not have the ability to either articulate pain or communicat...
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10/04/2018
A method to Suppress Facial Expression in Posed and Spontaneous Videos
We address the problem of suppressing facial expressions in videos becau...
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07/04/2018
Neonatal Pain Expression Recognition Using Transfer Learning
Transfer learning using pre-trained Convolutional Neural Networks (CNNs)...
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07/01/2016
