Training

PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection
PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Background: Deep learning models for patch classification in whole-slide images (WSIs) have shown promise in assisting follicular lymphoma grading. However, these models often require pathologists to identify centroblasts and manually… read more

Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation
Unrolled Optimization via Physics-Assisted Convolutional Neural Network for MR-Based Electrical Properties Tomography: A Numerical Investigation 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Magnetic Resonance imaging based Electrical Properties Tomography (MR-EPT) is a non-invasive technique that measures the electrical properties (EPs) of biological tissues. In this work, we present and numerically investigate the… read more

Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study
Objective and Automated Quantification of Instrument Handling for Open Surgical Suturing Skill Assessment: A Simulation-Based Study 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Vascular surgical procedures are challenging and require proficient suturing skills. To develop these skills, medical training simulators with objective feedback for formative assessment are gaining popularity. As hardware advancements… read more

NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning
NeoSSNet: Real-Time Neonatal Chest Sound Separation Using Deep Learning 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: Auscultation for neonates is a simple and non-invasive method of diagnosing cardiovascular and respiratory disease. However, obtaining high-quality chest sounds containing only heart or lung sounds is non-trivial. Hence,… read more

A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept
A Deep Learning Approach for Beamforming and Contrast Enhancement of Ultrasound Images in Monostatic Synthetic Aperture Imaging: A Proof-of-Concept 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In this study, we demonstrate that a deep neural network (DNN) can be trained to reconstruct high-contrast images, resembling those produced by the multistatic Synthetic Aperture (SA) method using… read more

BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation
BucketAugment: Reinforced Domain Generalisation in Abdominal CT Segmentation 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: In recent years, deep neural networks have consistently outperformed previously proposed methods in the domain of medical segmentation. However, due to their nature, these networks often struggle to delineate… read more

Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features
Lymphocyte-Infiltrated Periportal Region Detection With Structurally-Refined Deep Portal Segmentation and Heterogeneous Infiltration Features 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: The early diagnosis and treatment of hepatitis is essential to reduce hepatitis-related liver function deterioration and mortality. One component of the widely-used Ishak grading system for the grading of… read more

Grand Challenges at the Interface of Engineering and Medicine
Grand Challenges at the Interface of Engineering and Medicine 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Over the past two decades Biomedical Engineering has emerged as a major discipline that bridges societal needs of human health care with the development of novel technologies. Every medical institution… read more

Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods
Predicting Clinician Fixations on Glaucoma OCT Reports via CNN-Based Saliency Prediction Methods 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)
Goal: To predict physician fixations specifically on ophthalmology optical coherence tomography (OCT) reports from eye tracking data using CNN based saliency prediction methods in order to aid in the education… read more

Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model
Author(s)3: Metin Akay, Yong Du, Cheryl L Sershen, Minghua Wu, Ting Y Chen, Shervin Assassi, Chandra Mohan, Yasemin M. Akay
Deep Learning Classification of Systemic Sclerosis Skin using the MobileNetV2 Model 150 150 IEEE Open Journal of Engineering in Medicine and Biology (OJEMB)

Systemic sclerosis (SSc) is a rare autoimmune, systemic disease with prominent fibrosis of skin and internal organs. Early diagnosis of the disease is crucial for designing effective therapy and management…

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