Local Spatiotemporal Representation Learning for Longitudinally-consistent Neuroimage Analysis.

Recent self-supervised advances in medical computer vision exploit the global and local anatomical self-similarity for pretraining prior to downstream tasks such as segmentation. However, current methods assume i.i.

TRIM37 interacts with PTEN to promote the growth of human T-cell acute lymphocytic leukemia cells through regulating PI3K/AKT pathway.

Background: TRIM37 has been reported to be associated with the tumorigenesis of cancers. However, the role of TRIM37 in T-cell acute lymphoblastic leukemia (T-ALL) remains unclear. This study aimed to characterize the effect of TRIM37 on T-ALL.

Primary diffuse large B-cell lymphoma of the prostate: a case report and review of the literature.

Background: Primary lymphoma of the prostate is an exceedingly rare disease, with diffuse large B-cell lymphoma being the most common known subtype in a small number of reported cases. Due to its low prevalence, there has been a chronic lack of targeted diagnostic guidelines and treatment procedures.

Case Presentation: In this article, we report a case of primary diffuse large B-cell lymphoma of the prostate in a 70-year-old Asian man who presented with symptoms of urinary tract obstruction.

-space Conditioned Translation Networks for Directional Synthesis of Diffusion Weighted Images from Multi-modal Structural MRI.

Current deep learning approaches for diffusion MRI modeling circumvent the need for densely-sampled diffusion-weighted images (DWIs) by directly predicting microstructural indices from sparsely-sampled DWIs. However, they implicitly make unrealistic assumptions of static -space sampling during training and reconstruction. Further, such approaches can restrict downstream usage of variably sampled DWIs for usages including the estimation of microstructural indices or tractography.

Segmentation-Renormalized Deep Feature Modulation for Unpaired Image Harmonization.

Deep networks are now ubiquitous in large-scale multi-center imaging studies. However, the direct aggregation of images across sites is contraindicated for downstream statistical and deep learning-based image analysis due to inconsistent contrast, resolution, and noise. To this end, in the absence of paired data, variations of Cycle-consistent Generative Adversarial Networks have been used to harmonize image sets between a source and target domain.

[Fast Determination of Auramine Ⅱ, Basic Orange Ⅱ and Metanil Yellow in Bean Products on Surface Enhanced Raman Spectroscopy and Use High Pergormance Liquid Chromatography-Tandem Mass Spectrometry to Verify].

This experiment adopts Surface Enhanced Raman Spectroscopy (SERS) to quickly detect auramine Ⅱ, basic orange Ⅱ and metanil yellow in bean products. It uses High Performance Liquid Chromatography (HPLC)-tandem mass spectrometry to verify. The best extraction solvent is methanol-water (Seven plus three) solution.