Results 101 to 110 of about 361,179 (336)
SCENet: Small Kernel Convolution with Effective Receptive Field Network for Brain Tumor Segmentation
Applied SciencesBrain tumors are serious conditions, which can cause great trauma to patients, endangering their health and even leading to disability or death. Therefore, accurate preoperative diagnosis is particularly important. Accurate brain tumor segmentation based
Bin Guo +3 more
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Molecular Oncology, EarlyView.TRIM24 and TRIM28 are androgen receptor (AR) coregulators which exhibit increased expression with cancer progression. Both TRIM24 and TRIM28 combine to influence the response of castrate‐resistant prostate cancer (CRPC) cells to AR inhibitors by mediating AR signalling, regulation of MYC and upregulating VEGF to promote angiogenesis. Castrate‐resistant
Damien A. Leach +8 more
wiley +1 more source
Computational role of eccentricity dependent cortical magnification [PDF]
, 2014 We develop a sampling extension of M-theory focused on invariance to scale and translation. Quite surprisingly, the theory predicts an architecture of early vision with increasing receptive field sizes and a high resolution fovea -- in agreement with ...
Isik, Leyla, Mutch, Jim, Poggio, Tomaso
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Molecular Oncology, EarlyView.A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul +11 more
wiley +1 more source
Cell Reports, 2018 Summary: The spike trains of retinal ganglion cells (RGCs) are the only source of visual information to the brain. Here, we genetically identify an RGC type in mice that functions as a pixel encoder and increases firing to light increments (PixON-RGC ...
Keith P. Johnson +2 more
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Visual receptive fields and clustering [PDF]
Behavior Research Methods & Instrumentation, 1983 A pattern recognition technique—clustering—has been used to analyze and evaluate meaningful characteristics of visual receptive fields in the frog tectum. The fields were mapped either by an automatic scanning technique or by a response-feedback method called ALOPEX. The data were then analyzed by the clustering technique, which separates the receptive
openaire +2 more sources
Molecular Oncology, EarlyView.Carcinoma‐associated fibroblasts (CAFs) in tumors influence cancer progression. We identified endoglin (ENG) as a key factor in TGF‐β signaling in myofibroblastic CAFs (myCAFs), linked to poor breast cancer outcomes. Inhibiting ENG on myCAFs suppressed the TGF‐β‐Smad2/3 pathway, reducing primary tumor growth and metastasis.
Shoki Okubo +11 more
wiley +1 more source
FSRFNet: Feature-selective and Spatial Receptive Fields Networks
Applied Sciences, 2019 The attention mechanism plays a crucial role in the human visual experience. In the cognitive neuroscience community, the receptive field size of visual cortical neurons is regulated by the additive effect of feature-selective and spatial attention.
Xianghua Ma, Zhenkun Yang, Zhiqiang Yu
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Chimeric diphtheria toxin–CCL8 cytotoxic peptide for breast cancer management
Molecular Oncology, EarlyView.DTCCL8 is a recombinant fusion toxin that targets cancer cells expressing chemokine receptors. By combining diphtheria toxin with CCL8, DTCCL8 binds to multiple receptors on tumor cells and induces selective cytotoxicity. This strategy enables receptor‐mediated targeting of cancer and may support the development of chemokine‐guided therapeutics ...
Bernardo Chavez +5 more
wiley +1 more source
Channel Identification Machines for Multidimensional Receptive Fields
Frontiers in Computational Neuroscience, 2014 We present algorithms for identifying multidimensional receptive fields directly from spike trains produced by biophysically-grounded neuron models.
Aurel A Lazar, Yevgeniy B. Slutskiy
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