Effect of ibrutinib with R-CHOP chemotherapy in genetic subtypes of DLBCL.
- W. Wilson, George W. Wright, L. Staudt
- Medicine, BiologyCancer Cell
- 1 November 2021
Parameter-Free Spatial Attention Network for Person Re-Identification
- Haoran Wang, Yue Fan, Zexin Wang, L. Jiao, B. Schiele
- Computer ScienceArXiv
- 29 November 2018
This work proposes a novel architecture for Person Re-Identification, based on a novel parameter-free spatial attention layer introducing spatial relations among the feature map activations back to the model, which consistently improves the performance over the state-of-the-art model without it.
Upregulation of tissue long noncoding RNA X inactive specific transcript predicts poor postoperative survival in patients with non-small cell lung cancer
- Hengxiao Fang, L. Yang, Yi Jiang
- BiologyMedicine
- 11 December 2020
It is found that XIST expression level was significantly associated with advanced pathological stage and high TNM stage in NSCLC, and upregulation of tissue lncRNA XIST predicts poor postoperative survival in patients withNSCLC.
Genome-Wide Differentially Methylated Region Analysis to Reveal Epigenetic Differences of Articular Cartilage in Kashin–Beck Disease and Osteoarthritis
- Yue Fan, Dalong Gao, Shiquan Sun
- Biology, MedicineFrontiers in Cell and Developmental Biology
- 1 March 2021
The identified molecular features provide novel clues for understanding the pathogenetic and therapeutic studies of both KBD and OA, and KBD-associated DMGs were enriched in wounding and coagulation-related functional pathways that may be stimulated by trace elements.
Analyzing the Dependency of ConvNets on Spatial Information
- Yue Fan, Yongqin Xian, M. Losch, B. Schiele
- Computer ScienceGerman Conference on Pattern Recognition
- 5 February 2020
Interestingly, it is observed that spatial information can be deleted from later layers with small accuracy drops, which indicates spatial information at later layers is not necessary for good test accuracy.
The Structural Understanding of Transthyretin Misfolding and the Inspired Drug Approaches for the Treatment of Heart Failure Associated With Transthyretin Amyloidosis
- Shan He, Xinyue He, Shuyang Zhang
- Biology, MedicineFrontiers in Pharmacology
- 18 February 2021
The aim of this review is to briefly introduce the recent advances in the study of T TR native and misfolding structures, discuss the correlation between the genotype and phenotype of cardiac TTR amyloidosis, and summarize the therapeutic applications of TTR structural stabilizers in the treatment of T transthyretin-associated HF.
Gut microbiota on admission as predictive biomarker for acute necrotizing pancreatitis
- M. Zou, Zihan Yang, Dong Wu
- Medicine, BiologyFrontiers in Immunology
- 29 August 2022
This study suggests that NP patients have distinct intestinal microbiota on admission compared to non-NP patients, and Enterococcus faecium and Finegoldia magna are potential predictors for NP and infected NP.
Identification of groundwater contamination sources and hydraulic parameters based on bayesian regularization deep neural network
- Zidong Pan, Wenxi Lu, Yue Fan, Jiuhui Li
- Computer ScienceEnvironmental science and pollution research…
- 4 January 2021
The results indicated that BRDNN was capable of establishing input-output interplay of high nonlinear inverse problem, which substantially reduced computational cost while ensuring a desirable level of accuracy.
Let-7i-5p promotes a malignant phenotype in nasopharyngeal carcinoma via inhibiting tumor-suppressive autophagy.
- B. You, Panpan Zhang, Jisheng Liu
- Biology, MedicineCancer Letters
- 1 January 2022
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning
- Yue Fan, Dengxin Dai, B. Schiele
- Computer ScienceComputer Vision and Pattern Recognition
- 8 December 2021
A novel co-learning framework (CoSSL), which decouples representation and classifier learning while coupling them closely and achieves state-of-the-art performance on benchmark datasets ranging from CIFAR-10, CIFar-100, ImageNet, to Food-101.
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