Deep learning pipeline for prognostic outcome prediction. by Saul Fuster (22339894)

“…<p>1) A tissue segmentation is employed for delineating a ROI of choice <i>D</i>. …”

Data Sheet 1_MRI-based intra-tumoral ecological diversity features and temporal characteristics for predicting microvascular invasion in hepatocellular carcinoma.docx by Yuli Zeng (20812739)

“…</p>Material and Methods<p>We retrospectively analyzed the data of 398 HCC patients who underwent dynamic contrast-enhanced MRI with Gd-EOB-DTPA (training set: 318; testing set: 80). …”

Validation AUC scores for BCG-RP. by Saul Fuster (22339894)

“…To address this challenge, we propose a novel three-part framework comprising of a convolutional network based tissue segmentation algorithm for region of interest delineation, a contrastive learning module for feature extraction, and a nested multiple instance learning classification module. …”

Prediction probabilities for discerning . by Saul Fuster (22339894)

“…To address this challenge, we propose a novel three-part framework comprising of a convolutional network based tissue segmentation algorithm for region of interest delineation, a contrastive learning module for feature extraction, and a nested multiple instance learning classification module. …”

Data Sheet 1_DeepD&Cchl: an AI tool for automated 3D single-cell chloroplast detection, counting, and cell type clustering.pdf by Qun Su (771328)

Data Sheet 2_DeepD&Cchl: an AI tool for automated 3D single-cell chloroplast detection, counting, and cell type clustering.pdf by Qun Su (771328)

Data Sheet 1_Case Report: Stepwise noninvasive diagnosis of Takotsubo cardiomyopathy in an elderly patient–From ECG clues to echocardiographic and CTA confirmation.pdf by Yanling Teng (150096)

Data Sheet 1_Habitat-based CT radiomics enhances the ability to predict spread through air spaces in stage T1 invasive lung adenocarcinoma.csv by Xiuhua Peng (719778)

Data Sheet 1_Magnetic resonance imaging -based radiomics of the pituitary gland is highly predictive of precocious puberty in girls: a pilot study.docx by Michele Maddalo (14686549)

“…Pearson correlation between RFs and auxological, biochemical, and ultrasound data was also computed.</p>Results<p>Two different radiomic parameters, Shape Surface Volume Ratio and Glrlm Gray Level Non-Uniformity, predicted CPP with a high diagnostic accuracy (ROC-AUC 0.81 ± 0.08) through the application of our ML algorithm. …”

Chronocell overview. by Meichen Fang (13775419)

“…Each state <i>s</i> is associated with a transcription rate <i>α</i>_<i>s</i> for each gene, as well as an exit time <i>τ</i>_<i>k</i> denoting the switching time to the next state, where k is the index for the time segment. The EM algorithm is used for inference, with each iteration alternating between E-steps and M-steps. …”

Data Sheet 1_Zooming into Berlin: tracking street-scale CO2 emissions based on high-resolution traffic modeling using machine learning.pdf by Max Anjos (20517458)

“…Here, we introduce a ML-based bottom-up framework to predict hourly CO₂ emissions from vehicular traffic at fine spatial resolution (30 × 30 m). Using data-driven algorithms, traffic counts, spatio-temporal features, and meteorological data, our model predicted hourly traffic flow, average speed, and CO₂ emissions for passenger cars (PC) and heavy-duty trucks (HDT) at the street scale in Berlin. …”

Data Sheet 1_CU Cilia – an application for image analysis by machine learning – reveals significance of cysteine cathepsin K activity for primary cilia of human thyroid epithelial... by Maren Rehders (2879318)

Data Sheet 2_Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer.xlsx by Jing Xu (15337)

Data Sheet 1_Bi-modal ultrasound radiomics and habitat analysis enhanced the pre-operative prediction of axillary lymph node burden in patients with early-stage breast cancer.xlsx by Jing Xu (15337)

Data Sheet 1_Interpretable multiparametric MRI radiomics-based machine learning model for preoperative differentiation between benign and malignant prostate masses: a diagnostic, m... by Wenjun Zhou (310993)

Data Sheet 1_MRI quantified enlarged perivascular space volumes as imaging biomarkers correlating with severity of anxiety depression in young adults with long-time mobile phone us... by Li Li (14993)

Data Sheet 1_MRI-based machine learning analysis of perivascular spaces and their link to sleep disturbances, dementia, and mental distress in young adults with long-time mobile ph... by Li Li (14993)

Data Sheet 1_Association of body mass index changes with short-term mortality risks in ICU patients with sepsis across different admission BMI states: analysis of the MIMIC-IV data... by Wei Liu (20030)

Data Sheet 1_A three-classification model for identifying migraine with right-to-left shunt using lateralization of functional connectivity and brain network topology: a resting-st... by Weifang Nie (20173242)

Estimating individual live image motion to describe heart tube shaping as a continuous process. by Morena Raiola (22439390)