Comparison of periodicity of selected clock mutants. حسب Julian Bigge (22331861)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. حسب Huamei Li (8815955)

MVST improves the spatial domain recognition of mouse anterior brain tissue slices. حسب Hao Duan (8386146)

MVST enhances spatial domain recognition of human dorsolateral prefrontal cortex tissue slice 151510. حسب Hao Duan (8386146)

MVST enhances spatial domain recognition of human dorsolateral prefrontal cortex tissue slice 151509. حسب Hao Duan (8386146)

<b>Multi-object detection method based on YOLOv9 for labor protection equipment</b><b> </b><b>wear</b><b>ing</b><b> </b><b>condition </b><b>of offshore platform operators</b> حسب Guo Xiaosai (21358637)

"…Aiming at the missed detection problem of small targets of labor protection equipment, SAHI algorithm is introduced to slice the input image into multiple pieces, and the very small labor protection targets has been detected by the slicing detection method. …"

Performance assessment of Cell2Spatial in real ST data from various tissue types. حسب Huamei Li (8815955)

The G-clusteron requires the weight and location update rules to solve the XOR problem from arbitrary initial conditions. حسب Toviah Moldwin (10866708)

MVST improves spatial domain recognition of human breast cancer tissues. حسب Hao Duan (8386146)

Multivariate brain models of pain response can be interpreted as nested models that draw on increasing amounts of unique information. حسب Bogdan Petre (12488354)

Image_1_Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.JPEG حسب Daniel Tward (8435190)

"…The two concepts are combined within an Expectation-Maximization algorithm, where atlas selection posteriors and deformation parameters are updated iteratively and polynomial coefficients are computed in closed form. …"

Data_Sheet_1_Diffeomorphic Registration With Intensity Transformation and Missing Data: Application to 3D Digital Pathology of Alzheimer's Disease.pdf حسب Daniel Tward (8435190)

"…The two concepts are combined within an Expectation-Maximization algorithm, where atlas selection posteriors and deformation parameters are updated iteratively and polynomial coefficients are computed in closed form. …"

Table_1_Application of Deep Convolution Network to Automated Image Segmentation of Chest CT for Patients With Tumor.xls حسب Hui Xie (195238)

"…We selected 5 published FCN models and 1 published Unet model, and then combined FCN with AC algorithms to generate 3 improved deep convolutional networks, namely, dilation fully convolutional networks (D-FCN). …"

CMU SC and BOLD fMRI حسب Arian Ashourvan (6563300)

"…DSI data was acquired following fMRI sequences using a 50 min, 257-direction, twice-refocused spin-echo EPI sequence with multiple q values (TR =11,400 ms, TE =128 ms, voxel size 2.4 mm³, field of view 231x 231 mm, <i>b</i>-max 5000 s/mm², 51 slices). …"

Multimodal optical imaging findings on a small surgical resection specimen (~14 mm x 8mm). حسب Mark T. Scimone (8655114)

"…</b> Projection of the cancer areas from the multiple OCT slices over a depth of approximately 1 mm. …"

Example of positive margins identification on a small lumpectomy specimen. حسب Mark T. Scimone (8655114)

"…The z-depth shown in <b>F</b> corresponds to the imaging depth for all RCM panels <b>G)</b> Projection of the cancer areas from the multiple OCT slices over a depth of approximately 1 mm shows larger predicted tumor areas at depth than in panel D. …"