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Chronic Obstructive Pulmonary Disease (COPD) is a chronic lung condition characterized by airflow obstruction. Current diagnostic methods primarily rely on identifying prominent features in spirometry (Volume-Flow time series) to detect…

Thin-cap fibroatheroma (TCFA) and plaque rupture have been recognized as the most frequent risk factor for thrombosis and acute coronary syndrome. Intravascular optical coherence tomography (IVOCT) can identify TCFA and assess cap…

Prostate cancer grading using the ISUP system (International Society of Urological Pathology) for treatment decisions is highly subjective and requires considerable expertise. Despite advances in computer-aided diagnosis systems, few have…

计算机视觉与模式识别 · 计算机科学 2025-01-28 Riddhasree Bhattacharyya , Surochita Pal Das , Sushmita Mitra

Parkinson's disease (PD) is a chronic neurodegenerative disease. It shows multiple motor symptoms such as tremor, bradykinesia, postural instability, freezing of gait (FoG). PD is currently diagnosed clinically through physical exam by…

机器学习 · 计算机科学 2026-04-21 Meheru Zannat

Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness. Many researchers have developed autonomous systems to recognize retinopathy via fundus and optical…

图像与视频处理 · 电气工程与系统科学 2021-11-05 Taimur Hassan , Bilal Hassan , Muhammad Usman Akram , Shahrukh Hashmi , Abdel Hakim Taguri , Naoufel Werghi

The performance of Machine Learning (ML) and Deep Learning (DL)-based Intrusion Detection and Prevention Systems (IDS/IPS) is critically dependent on the relevance and quality of the datasets used for training and evaluation. However,…

密码学与安全 · 计算机科学 2025-11-18 Adrita Rahman Tori , Khondokar Fida Hasan

As deep learning (DL) continues to demonstrate its ability in radiological tasks, it is critical that we optimize clinical DL solutions to include safety. One of the principal concerns in the clinical adoption of DL tools is trust. This…

计算机视觉与模式识别 · 计算机科学 2024-01-17 Cooper Gamble , Shahriar Faghani , Bradley J. Erickson

Neurogenic Bladder Dysfunction has detrimental effects on day-to-day life of millions of people. Some of the most common symptoms faced by these patients include urinary incontinence, urgency and retention. Since elevated bladder pressure…

信号处理 · 电气工程与系统科学 2018-07-10 Prashant Gupta

Artificial intelligence holds strong potential to support clinical decision making in intensive care units where timely and accurate risk assessment is critical. However, many existing models focus on isolated outcomes or limited data…

Current fMRI decoders face a performance-fidelity trade-off where efficient ID encoders outperform geometrically faithful surface-based models. We argue this is partly driven by inefficient surface tokenization and the failure to use…

人工智能 · 计算机科学 2026-05-26 Sijin Yu , Zijiao Chen , Zhenyu Yang , Zihao Tan , Jiakun Xu , Zhongliang Liu , Shengxian Chen , Wenxuan Wu , Xiangmin Xu , Xin Zhang

Accurate multivariate time-series prediction of vital signs and laboratory results is crucial for early intervention and precision medicine in intensive care units (ICUs). However, vital signs are often noisy and exhibit rapid fluctuations,…

机器学习 · 计算机科学 2025-11-26 Wanzhe Xu , Yutong Dai , Yitao Yang , Martin Loza , Weihang Zhang , Yang Cui , Xin Zeng , Sung Joon Park , Kenta Nakai

Continuous diagnosis and prognosis are essential for intensive care patients. It can provide more opportunities for timely treatment and rational resource allocation, especially for sepsis, a main cause of death in ICU, and COVID-19, a new…

机器学习 · 计算机科学 2022-10-07 Chenxi Sun , Hongyan Li , Moxian Song , Derun Cai , Baofeng Zhang , Shenda Hong

Automated analysis of endoscopic imagery is a critical yet underdeveloped component of ENT (ear, nose, and throat) care, hindered by variability in devices and operators, subtle and localized findings, and fine-grained distinctions such as…

In this paper we present an electronic system to perform a non-invasive measurement of the blood pressure based on the oscillometric method, which does not suffer from the limitations of the well-known auscultatory one. Moreover the…

医学物理 · 物理学 2012-12-05 Roberto Marani , Anna Gina Perri

Category-level object pose and shape estimation from a single depth image has recently drawn research attention due to its potential utility for tasks such as robotics manipulation. The task is particularly challenging because the three…

计算机视觉与模式识别 · 计算机科学 2025-10-07 Yihao Zhang , Harpreet S. Sawhney , John J. Leonard

Semantic segmentation of medical images is an essential first step in computer-aided diagnosis systems for many applications. However, given many disparate imaging modalities and inherent variations in the patient data, it is difficult to…

计算机视觉与模式识别 · 计算机科学 2021-08-09 Bhavani Sambaturu , Ashutosh Gupta , C. V. Jawahar , Chetan Arora

Compared with other imaging modalities, intravascular optical coherence tomography (IVOCT) has significant advantages for guiding percutaneous coronary interventions. To aid IVOCT research studies, we developed the Optical Coherence…

Blood Pressure (BP) is one of the four primary vital signs indicating the status of the body's vital (life-sustaining) functions. BP is difficult to continuously monitor using a sphygmomanometer (i.e. a blood pressure cuff), especially in…

机器学习 · 计算机科学 2021-08-03 Ali Tazarv , Marco Levorato

Traditional detection methods of C-reactive protein (CRP) inflammation biomarker, in blood are expensive, time-consuming and labor-intensive. Such existing point-of-care CRP detection devices remain invasive, since they need blood sampling…

医学物理 · 物理学 2024-07-25 Aristea Grammoustianou , Ali Saeidi , Johan Longo , Felix Risch , Adrian M. Ionescu

Intracranial hemorrhages (ICHs) are life-threatening brain injures with a relatively high incidence. In this paper, the automatic algorithm for the detection and classification of ICHs, including localization, is present. The set of binary…

医学物理 · 物理学 2020-09-08 Jakub Nemcek , Roman Jakubicek , Jiri Chmelik