標題: Titlebook: Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss; 12th International W Stefan Wesarg,Es [打印本頁] 作者: hector 時間: 2025-3-21 16:37
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss影響因子(影響力)
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss影響因子(影響力)學科排名
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss網絡公開度
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss網絡公開度學科排名
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss被引頻次
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss被引頻次學科排名
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss年度引用
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss年度引用學科排名
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss讀者反饋
書目名稱Clinical Image-Based Procedures,Fairness of AI in Medical Imaging, and Ethical and Philosophical Iss讀者反饋學科排名
作者: 愉快么 時間: 2025-3-21 22:27 作者: Prostaglandins 時間: 2025-3-22 00:55
Automatic Neurocranial Landmarks Detection from?Visible Facial Landmarks Leveraging 3D Head Priorsstatistical head model priors. We validate the proposed approach on ground truth data from 1,150 subjects, for which facial 3D and head information is available; our technique achieves a localization RMSE of 2.56?mm on average, which is of the same order as reported by high-end techniques in TMS. Ou作者: 使入迷 時間: 2025-3-22 08:29 作者: 財產 時間: 2025-3-22 09:46 作者: 向下 時間: 2025-3-22 15:49
Automated Orientation and?Registration of?Cone-Beam Computed Tomography Scanslow by automating these operations. These methods combine conventional image processing approaches and Artificial Intelligence (AI) based models trained and tested on de-identified CBCT volumetric images. Our results showed robust performance for standardized and reproducible image orientation and r作者: 向下 時間: 2025-3-22 17:40 作者: NIB 時間: 2025-3-22 21:43 作者: Abbreviate 時間: 2025-3-23 03:19 作者: 潰爛 時間: 2025-3-23 09:19
Bias in?Unsupervised Anomaly Detection in?Brain MRInal shifts between the training and testing distributions, we shed light on the extent of these biases and their influence on anomaly detection results. Moreover, this study examines the algorithmic limitations that arise due to biases, providing valuable insights into the challenges encountered by 作者: nostrum 時間: 2025-3-23 12:02
Towards Unraveling Calibration Biases in?Medical Image Analysisignant dermatological conditions from skin lesions images. Importantly, we show how several typically employed calibration metrics are systematically biased with respect to sample sizes, and how this can lead to erroneous conclusions if not taken into consideration. This is of particular relevance t作者: 含糊 時間: 2025-3-23 16:26
Are Sex-Based Physiological Differences the?Cause of?Gender Bias for?Chest X-Ray Diagnosis?r differences across diseases, datasets, and gender representations in the training set shows that dataset imbalance is not the sole cause of performance differences. Moreover, relative group performance differs strongly between datasets, indicating important dataset-specific factors influencing mal作者: CHOP 時間: 2025-3-23 18:05 作者: ablate 時間: 2025-3-23 23:25 作者: Ibd810 時間: 2025-3-24 04:43
Michael R. Carter,Eduardo Zegarraation maps..Even though these results leave room for further improvement, they also indicate, that the model architecture can capture the latent features of the data. We are confident, that more available data will lead to a robust classification model and can support medical doctors in using NIR-FO作者: flammable 時間: 2025-3-24 10:15
https://doi.org/10.1057/9780333977798statistical head model priors. We validate the proposed approach on ground truth data from 1,150 subjects, for which facial 3D and head information is available; our technique achieves a localization RMSE of 2.56?mm on average, which is of the same order as reported by high-end techniques in TMS. Ou作者: 沒有希望 時間: 2025-3-24 14:20
Determinants of Rural Poverty in Colombiael contact surface model that generates joint motion by encoding the interactions between the surfaces of two contacting bones through several motion paths. Test results show that the proposed model is sufficiently accurate compared to the existing models, which shows promise in its application for 作者: dominant 時間: 2025-3-24 18:07
Conclusions and Policy Recommendations,eight decoder. The performance of this method has been assessed on a novel dataset, comprising 1126 high-definition images representing the three main histological classes. Results show a clear improvement in both segmentation and classification performance, also achieving competitive results when t作者: 取回 時間: 2025-3-24 21:03 作者: Conduit 時間: 2025-3-25 00:27
https://doi.org/10.1007/978-0-333-52448-0DNN architecture and training approach. Our architecture incorporates the undersampling mask into the model and utilizes a specialized training method that leverages data generated with various undersampling masks to encourage the model to generalize the undersampled MRI reconstruction problem. Thro作者: Encoding 時間: 2025-3-25 06:43 作者: Innocence 時間: 2025-3-25 10:43
Ruralness as a Psychological Construct,t pathways revealed both similarities to and deviations from earlier findings, bringing forth new pathways in the process. RNALerner represents an advancement toward the practical integration of machine learning in WSI analysis, which holds the potential to substantially improve disease diagnosis an作者: Ingrained 時間: 2025-3-25 13:23
Main Influences on Farm Income,nal shifts between the training and testing distributions, we shed light on the extent of these biases and their influence on anomaly detection results. Moreover, this study examines the algorithmic limitations that arise due to biases, providing valuable insights into the challenges encountered by 作者: BOOM 時間: 2025-3-25 17:12 作者: faculty 時間: 2025-3-25 21:45 作者: atopic-rhinitis 時間: 2025-3-26 01:20 作者: 凝結劑 時間: 2025-3-26 06:35 作者: 放逐 時間: 2025-3-26 11:22
https://doi.org/10.1057/9780230373181ted with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equitable insights into neuroimaging research.作者: 改正 時間: 2025-3-26 14:09
Michael R. Carter,Eduardo Zegarrao spatial dimensions and one temporal dimension, which visualizes the time dependent distribution of an administered color agent. In accordance with previous work, we hypothesize that the distribution process allows a joint-wise classification into . and ...In this work, we present the first approac作者: 極大痛苦 時間: 2025-3-26 18:00
https://doi.org/10.1057/9780333977798ver, state-of-the-art treatments still rely on the manual identification of head targets and require setting retroreflective markers for tracking. This limits the applicability and scalability of TMS approaches, making them time-consuming, dependent on expensive hardware, and prone to errors when re作者: 細胞膜 時間: 2025-3-26 22:55
Determinants of Rural Poverty in Colombiact possible surgical outcomes for a specific subject. Existing models are not suitable for routine clinical practice as they either expose a subject to excessive radiation through multiple computed tomography (CT) scans or require complex auxiliary data obtained using motion capture, electromyograph作者: 焦慮 時間: 2025-3-27 01:08 作者: objection 時間: 2025-3-27 05:20
Conclusions and Policy Recommendations,nosis, treatment planning, intervention, and assessment of growth and treatment effects. However, analyzing longitudinal 3D images requires standardized orientation and registration, which can be laborious and error-prone tasks dependent on structures of reference for registration. This paper propos作者: mastopexy 時間: 2025-3-27 13:13 作者: 裙帶關系 時間: 2025-3-27 16:24 作者: exigent 時間: 2025-3-27 19:49
Ruralness as a Psychological Construct,es influencing tumor morphology are not entirely comprehended. Here, we present RNALerner, an innovative tool designed to expedite the identification of correlations between gene expression and tumor morphology as presented in H&E WSI. RNALerner achieves its efficiency by transforming the problem fr作者: mitral-valve 時間: 2025-3-28 01:52
Features of Peasant Households,le techniques for de-identifying retina images while maintaining their clinical ability for detecting diabetic retinopathy (DR), using gender as a proxy for identifiability. We apply two differential privacy algorithms, Snow and VS-Snow, on the entire image (globally) and on blood vessels only (loca作者: 老人病學 時間: 2025-3-28 02:45 作者: 有花 時間: 2025-3-28 10:04
https://doi.org/10.1057/9780230373181ted with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equita作者: 致敬 時間: 2025-3-28 12:50
Main Influences on Farm Income,ical scan analysis and enhance diagnostic performance..In the current landscape, it is commonly assumed that differences between a test case and the training distribution are attributed solely to pathological conditions, implying that any disparity indicates an anomaly. However, the presence of othe作者: DEMN 時間: 2025-3-28 17:37 作者: patriarch 時間: 2025-3-28 19:40 作者: voluble 時間: 2025-3-29 02:01
Description of the Research Regions,sets. Variability due to appearance of polyps from one center to another, difference in endoscopic instrument grades, and acquisition quality result in methods with good performance on in-distribution test data, and poor performance on out-of-distribution or underrepresented samples. Unfair models h作者: arboretum 時間: 2025-3-29 04:45 作者: PHON 時間: 2025-3-29 09:00 作者: 諷刺滑稽戲劇 時間: 2025-3-29 11:39
Brain Matters: Exploring Bias in?AI for?Neuroimaging Researchted with artificial intelligence (AI) in neuroimaging research, and highlights the structural issues that underpin them. We propose a range of mitigation strategies, encompassing both behavioural and technical considerations. By recognising these challenges, we can encourage more accurate and equitable insights into neuroimaging research.作者: Microaneurysm 時間: 2025-3-29 15:51 作者: 無可爭辯 時間: 2025-3-29 22:08 作者: AND 時間: 2025-3-30 03:17
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/228006.jpg作者: CUB 時間: 2025-3-30 06:11
Automated Hand Joint Classification of?Psoriatic Arthritis Patients Using Routinely Acquired Near Ino spatial dimensions and one temporal dimension, which visualizes the time dependent distribution of an administered color agent. In accordance with previous work, we hypothesize that the distribution process allows a joint-wise classification into . and ...In this work, we present the first approac作者: 加入 時間: 2025-3-30 08:16 作者: MAIZE 時間: 2025-3-30 15:39 作者: Myocyte 時間: 2025-3-30 19:39
Towards Fine-Grained Polyp Segmentation and?Classificationnd removal during the same procedure. During the last decades, several efforts have been made to develop CAD systems to assist clinicians in lesion detection and classification. Regarding the latter, and in order to be used in the exploration room as part of resect and discard or leave-in-situ strat作者: APEX 時間: 2025-3-30 21:06 作者: Range-Of-Motion 時間: 2025-3-31 04:05
Deep Learning-Based Fast MRI Reconstruction: Improving Generalization for?Clinical Translationruction from undersampled ‘k-space’ (Fourier domain) data. However, these methods have shown instability when faced with variations in the acquisition process and anatomical distribution. This instability indicates that DNN architectures have poorer generalization compared to their classical counter作者: judicial 時間: 2025-3-31 05:08
Uncertainty Based Border-Aware Segmentation Network for?Deep Cariesas inflammation and apical periodontitis. According to clinical evidence, carious dentin can be categorized into soft, firm, and hard dentin based on its hardness. Precise assessment of carious lesions is critical for effective treatment; however, current methods rely on subjective judgments based o作者: nostrum 時間: 2025-3-31 10:29
An Efficient and?Accurate Neural Network Tool for?Finding Correlation Between Gene Expression and?Hies influencing tumor morphology are not entirely comprehended. Here, we present RNALerner, an innovative tool designed to expedite the identification of correlations between gene expression and tumor morphology as presented in H&E WSI. RNALerner achieves its efficiency by transforming the problem fr作者: 材料等 時間: 2025-3-31 14:24
