Learning with Biased Complementary Labels

In this paper, we study the classification problem in which we have access to easily obtainable surrogate for true labels, namely complementary labels, which specify classes that observations do \textbf{not} belong to. Let $Y$ and $\bar{Y}$ be the true and complementary labels, respectively. We first model the annotation of complementary labels via transition probabilities $P(\bar{Y}=i|Y=j), i\neq j\in\{1,\cdots,c\}$, where $c$ is the number of classes. Previous methods implicitly assume that $P(\bar{Y}=i|Y=j), \forall i\neq j$, are identical, which is not true in practice because humans are biased toward their own experience. For example, as shown in Figure 1, if an annotator is more familiar with monkeys than prairie dogs when providing complementary labels for meerkats, she is more likely to employ "monkey" as a complementary label. We therefore reason that the transition probabilities will be different. In this paper, we propose a framework that contributes three main innovations to learning with \textbf{biased} complementary labels: (1) It estimates transition probabilities with no bias. (2) It provides a general method to modify traditional loss functions and extends standard deep neural network classifiers to learn with biased complementary labels. (3) It theoretically ensures that the classifier learned with complementary labels converges to the optimal one learned with true labels. Comprehensive experiments on several benchmark datasets validate the superiority of our method to current state-of-the-art methods.Comment: ECCV 2018 Ora

Mild hypoxic-ischemic injury in the neonatal rat brain: longitudinal evaluation of the white matter using diffusion tensor MR imaging

Session 75: Perfusion & Diffusion: Animal Models - Oral presentationWe evaluated longitudinally mild hypoxic-ischemic (HI) induced white matter (WM) damage in a neonatal rat model using DTI and correlated the DTI indices with histological evaluations. Results showed significantly decreased FA and increased ¦Ë¡Í in the injured WM reflected dysmyelination. The longitudinal changes of increasing FA, decreasing ¦Ë¡Í, and no change in ¦Ë// in both injured and control WM suggests continued myelination. Furthermore, differences in FA and ¦Ë¡Í between injured and control WM decreased longitudinally. Our results demonstrated that mild HI induced WM damage continues to mature with partial recovery post-HI, and this could be reflected by DTI in vivo.published_or_final_versionThe 17th Scientific Meeting & Exhibition of the International Society of Magnetic Resonance in Medicine (ISMRM), Honolulu, HI., 18-24 April 2009. In Proceedings of ISMRM 17th Scientific Meeting & Exhibition, 2009, p. 74

Bone marrow uptake of indolent non-Hodgkin lymphoma on PET/CT with histopathological correlation

postprin

Mild hypoxic-ischemic injury in the neonatal rat brain: longitudinal evaluation of the white matter using diffusion tensor MR imaging

Session 75: Perfusion & Diffusion: Animal Models - Oral presentationWe evaluated longitudinally mild hypoxic-ischemic (HI) induced white matter (WM) damage in a neonatal rat model using DTI and correlated the DTI indices with histological evaluations. Results showed significantly decreased FA and increased ¦Ë¡Í in the injured WM reflected dysmyelination. The longitudinal changes of increasing FA, decreasing ¦Ë¡Í, and no change in ¦Ë// in both injured and control WM suggests continued myelination. Furthermore, differences in FA and ¦Ë¡Í between injured and control WM decreased longitudinally. Our results demonstrated that mild HI induced WM damage continues to mature with partial recovery post-HI, and this could be reflected by DTI in vivo.published_or_final_versionThe 17th Scientific Meeting & Exhibition of the International Society of Magnetic Resonance in Medicine (ISMRM), Honolulu, HI., 18-24 April 2009. In Proceedings of ISMRM 17th Scientific Meeting & Exhibition, 2009, p. 74

Construction of a Multiplex Promoter Reporter Platform to Monitor Staphylococcus aureus Virulence Gene Expression and the Identification of Usnic Acid as a Potent Suppressor of psm Gene Expression

As antibiotic resistance becomes phenomenal, alternative therapeutic strategies for bacterial infections such as anti-virulence treatments have been advocated. We have constructed a total of 20 gfp-luxABCDE dual-reporter plasmids with selected promoters from S. aureus virulence-associated genes. The plasmids were introduced into various S. aureus strains to establish a gfp-lux based multiplex promoter reporter platform for monitoring S. aureus virulence gene expressions in real time to identify factors or compounds that may perturb virulence of S. aureus. The gene expression profiles monitored by luminescence correlated well with qRT-PCR results and extrinsic factors including carbon dioxide and some antibiotics were shown to suppress or induce the expression of virulence factors in this platform. Using this platform, sub-inhibitory ampicillin was shown to be a potent inducer for the expression of many virulence factors in S. aureus. Bacterial adherence and invasion assays using mammalian cells were employed to measure S. aureus virulence induced by ampicillin. The platform was used for screening of natural extracts that perturb the virulence of S. aureus and usnic acid was identified to be a potent repressor for the expression of psm.published_or_final_versio

Quantitative analysis of indexes from DWI and PET/CT in primary rectal cancer

postprintThe Joint Annual Scientific Meeting of ISMRM-ESMRMB, Stockholm, Sweden, 1-7 May 2010

Dynamic contrast-enhanced MRI of primary rectal cancer at 3T: correlation with positron emission tomography

postprintThe 2010 Joint Annual Meeting of ISMRM-ESMRMB, Stockholm, Sweden, 1-7 May 2010

Axial and radial diffusivities as potential markers for characterization of white matter lesions and predicting lesion outcome in a neonatal rat hypoxia-ischemia model

published_or_final_versio