Results 241 to 250 of about 242,529 (275)

Privacy-Aware Continual Self-Supervised Learning on Multi-Window Chest Computed Tomography for Domain-Shift Robustness. [PDF]

Bioengineering (Basel)
Tasai R, Li G, Togo R, Ogawa T, Hirata K, Tang M, Yoshimura T, Sugimori H, Nishioka N, Shimizu Y, Kudo K, Haseyama M.   +11 more
europepmc   +1 more source

Artificial Tactile Perception System for Exploring Internal and External Features of Objects via Time‐Frequency Features

Advanced Science, EarlyView.
By engaging in different active exploration behaviors, the tactile perception system can generate distinct signal modes, enabling the application of targeted decoding strategies for efficient and accurate perception of both external and internal object features.
Yuanzhi Zhou, Jingqi Zhang, Linyi Li, Muxing Huang, Ziyi Zhang, Xingmin Lu, Zilan Li, Xuchun Gui, Xinming Li   +8 more
wiley   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source

Age-informed, attention-based weakly supervised learning for neuropathological image assessment. [PDF]

Brain Inform
Li S, Malamut M, McKee A, Cherry JD, Tian L.   +4 more
europepmc   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

Interpretable weakly-supervised learning through kernel density matrices: A digital pathology use case. [PDF]

PLoS One
Medina S, Romero E, Cruz-Roa A, González FA.   +3 more
europepmc   +1 more source

Leveraging unlabeled SEM datasets with self-supervised learning for enhanced particle segmentation. [PDF]

NPJ Comput Mater
Rettenberger L, Szymanski NJ, Giunto A, Dartsi O, Jain A, Ceder G, Hagenmeyer V, Reischl M.   +7 more
europepmc   +1 more source

Advancing SAR Target Recognition Through Hierarchical Self-Supervised Learning with Multi-Task Pretext Training. [PDF]

Sensors (Basel)
Siam MA, Noor DF, Ndoye M, Khan JF.
europepmc   +1 more source

Multi scale self supervised learning for deep knowledge transfer in diabetic retinopathy grading. [PDF]

Sci Rep
Almattar W, Anwar S, Al-Azani S, Khan FA.   +3 more
europepmc   +1 more source