Results 111 to 120 of about 2,737 (252)

Synchrotron‐Based Deep Learning Network of the Inner Ear: Development and Expert Validation

The Laryngoscope, EarlyView.
A deep learning network to automatically segment the inner ear from preoperative clinical scans was developed using synchrotron‐radiation phase contrast imaging (SR‐PCI). On an unseen test set, the network significantly outperformed seven expert otologists/radiologists, the mean expert segmentation, and a simultaneous truth and performance level ...
Ashley Micuda, Kyle Rioux, Luke Helpard, Munir Demir Bajin, Zahra Kassam, Sachin Pandey, Jaehyun Hwang, Griselda T. Romero‐Sanchez, Manas Sharma, Lorne S. Parnes, Hanif M. Ladak, Sumit K. Agrawal   +11 more
wiley   +1 more source

A multimodal imaging dataset for quality grading of Canadian wild rice kernels using RGB and VNIR hyperspectral data. [PDF]

Data Brief
Sikiru Y, Erkinbaev C.
europepmc   +1 more source

Land Use and Land Cover Analysis for Solid Waste Management in NCT Delhi Using Fusion Aware Segformer

Land Degradation &Development, EarlyView.
ABSTRACT The use of Land Use Land Cover (LULC) analysis is a fundamental requirement for urban solid waste management (SWM); however, conventional LULC analysis methods are not well suited to the spatio‐temporal variability, multi‐sensor heterogeneity, and seasonal variations of highly dynamic urban environments.
Rubeena Vohra, Ashish Kumar
wiley   +1 more source

Pocket-Surface Discrete Differential Geometry as a Leakage-Robust Feature Class for Protein-Ligand Binding Affinity Prediction. [PDF]

Molecules
Balcı MA, Çetin E, Calibasi-Kocal G, Akgüller Ö.   +3 more
europepmc   +1 more source

Real‐Time Targeted Slice Reacquisition for Motion‐Corrupted Fetal Diffusion MRI

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose To develop and evaluate a real‐time framework for targeted slice‐level reacquisition in fetal diffusion MRI. Methods A DW‐SE‐EPI sequence was modified to support independent diffusion preparation per slice. A pathology‐robust nnU‐Net segmentation network, updated from a previously published baseline (V1) using pathological fetal cases ...
Jordina Aviles Verdera, Sara Neves Silva, Susanne Schulz‐Heise, Sarah McElroy, Mary Rutherford, Joseph V. Hajnal, Raphael Tomi‐Tricot, Jana Hutter   +7 more
wiley   +1 more source

Practical AI-based cell extraction and spatial statistics for large 3D bone marrow tissue images. [PDF]

Cell Rep Methods
Adams G, Tissot FS, Liu C, Mai C, Brunsdon C, Duffy KR, Lo Celso C.   +6 more
europepmc   +1 more source

Advancing the Volumetric Analysis of Ultra‐Low‐Field Brain MRI Using Image‐to‐Image Translation

Magnetic Resonance in Medicine, EarlyView.
ABSTRACT Purpose Ultra‐low‐field (ULF) MRI offers a promising path to accessible neuroimaging, with potential to address global healthcare disparities and advance population‐level brain health research. However, the inherently low signal‐to‐noise ratio (SNR), reduced spatial resolution, and altered tissue contrasts relative to conventional high‐field ...
Peter Hsu, Elisa Marchetto, Patricia M. Johnson, Jelle Veraart   +3 more
wiley   +1 more source

Assembly of Face Decorated Cuboidal Cages into Ultraporous Structures with Hierarchical Porosity: Accessing MOFs with the Awaited <b>red-a</b> Topology. [PDF]

J Am Chem Soc
Froudas KG, Tsangarakis C, Montagnon T, Livas C, Klontzas E, Froudakis GE, Tampaxis C, Charalambopoulou G, Steriotis TA, Trikalitis PN.   +9 more
europepmc   +1 more source

R3Net: Recursive Residual Refinement Network Architecture for Decoder‐Free Medical Image Segmentation

Precision Radiation Oncology, EarlyView.
We propose R3Net, a decoder‐free medical image segmentation framework that recursively refines multiscale representations within the encoder using residual pathways. R3Net achieves competitive accuracy with reduced model complexity and improved computational efficiency across multiple medical imaging modalities.
Jing Huang, Yongkang Zhao, Yuhan Li, Zhitao Dai, Cheng Chen, Qiying Lai   +5 more
wiley   +1 more source

SETJiP: Spatial and Extra Temporal Jigsaw Puzzles for Video Anomaly Detection. [PDF]

Sensors (Basel)
Shen L, Matsukawa T, Suzuki E.
europepmc   +1 more source