Minzhen Li
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View article: An unyielding challenge for refractory hyponatremia in neuroendocrine cervix carcinoma: a case report
An unyielding challenge for refractory hyponatremia in neuroendocrine cervix carcinoma: a case report Open
Neuroendocrine neoplasms (NENs) originate from peptidergic neurons and neuroendocrine cells, possessing endocrine functions, and are commonly found in the gastrointestinal tract, pancreas, and lungs. Neuroendocrine cervix carcinoma (NECC) …
View article: Unveiling DNA methylation: early diagnosis, risk assessment, and therapy for endometrial cancer
Unveiling DNA methylation: early diagnosis, risk assessment, and therapy for endometrial cancer Open
Endometrial cancer (EC), one of the most common gynecologic malignancies worldwide, poses a significant burden particularly among young women, with poor treatment outcomes and prognosis for advanced and recurrent patients. Epigenetic chang…
View article: NMR based fractal analysis in shale under different confining pressure, and its correlation to Archie's cementation exponents
NMR based fractal analysis in shale under different confining pressure, and its correlation to Archie's cementation exponents Open
This study delves into the complexity of shale pore structures through fractal dimension analysis of nuclear magnetic resonance (NMR) data under varying confining pressures. Focusing on nine illite-rich shale samples, we investigate how co…
View article: Crowd-Sourced NeRF: Collecting Data From Production Vehicles for 3D Street View Reconstruction
Crowd-Sourced NeRF: Collecting Data From Production Vehicles for 3D Street View Reconstruction Open
Recently, Neural Radiance Fields (NeRF) achieved impressive results in novel\nview synthesis. Block-NeRF showed the capability of leveraging NeRF to build\nlarge city-scale models. For large-scale modeling, a mass of image data is\nnecessa…
View article: Deep learning-assisted development and validation of an algorithm for predicting the growth of persistent pure ground-glass nodules
Deep learning-assisted development and validation of an algorithm for predicting the growth of persistent pure ground-glass nodules Open
DLCM algorithms that use chest CT images can help predict the growth of pGGNs.
View article: SULF1 promotes malignancy potential of cervical cancer by activating VEGFR2/PI3K/AKT signaling pathway
SULF1 promotes malignancy potential of cervical cancer by activating VEGFR2/PI3K/AKT signaling pathway Open
Purpose Identifying novel molecular targets remains essential in molecular targeted therapy for cervical cancer patients with advanced stage or reccurrence. Our study aims to investigate the precise roles and regulatory mechanism underlyin…
View article: Phosphoproteomics reveals that cinobufotalin promotes intrahepatic cholangiocarcinoma cell apoptosis by activating the ATM/CHK2/p53 signaling pathway
Phosphoproteomics reveals that cinobufotalin promotes intrahepatic cholangiocarcinoma cell apoptosis by activating the ATM/CHK2/p53 signaling pathway Open
Intrahepatic cholangiocarcinoma (ICC) is a malignant tumor that originates from bile duct’s epithelial cells and is usually characterized by insidious symptoms and poor prognosis. Cinobufotalin (CB), an active ingredient obtained from the …
View article: LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision Open
It is very challenging for various visual tasks such as image fusion, pedestrian detection and image-to-image translation in low light conditions due to the loss of effective target areas. In this case, infrared and visible images can be u…
View article: Hybrid model enabling highly efficient follicular segmentation in thyroid cytopathological whole slide image
Hybrid model enabling highly efficient follicular segmentation in thyroid cytopathological whole slide image Open
View article: Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention
Real-Time Lane ID Estimation Using Recurrent Neural Networks With Dual Convention Open
Acquiring information about the road lane structure is a crucial step for autonomous navigation. To this end, several approaches tackle this task from different perspectives such as lane marking detection or semantic lane segmentation. How…