User profiles for D. Tran

Du Tran

- Verified email at google.com - Cited by 19340

Dustin Tran

- Verified email at google.com - Cited by 11493

Nam D. Tran

- Verified email at moffitt.org - Cited by 5678

Effectiveness of neuraminidase inhibitors in reducing mortality in patients admitted to hospital with influenza A H1N1pdm09 virus infection: a meta-analysis of …

…, KKW To, A Torres, SH Törün, D Tran… - The lancet Respiratory …, 2014 - thelancet.com
Background Neuraminidase inhibitors were widely used during the 2009–10 influenza A H1N1
pandemic, but evidence for their effectiveness in reducing mortality is uncertain. We did a …

Populations at risk for severe or complicated influenza illness: systematic review and meta-analysis

…, J Johnstone, PP Lam, SP Kuster, SA Fadel, D Tran… - Bmj, 2013 - bmj.com
Objective To evaluate risk factors for severe outcomes in patients with seasonal and pandemic
influenza. Design Systematic review. Study selection Observational studies reporting on …

Concise review: maturation phases of human pluripotent stem cell-derived cardiomyocytes

C Robertson, DD Tran, SC George - Stem cells, 2013 - academic.oup.com
Human pluripotent stem cell-derived cardiomyocytes (hPS-CM) may offer a number of
advantages over previous cardiac models, however, questions of their immaturity complicate their …

Effect of tumor-treating fields plus maintenance temozolomide vs maintenance temozolomide alone on survival in patients with glioblastoma: a randomized clinical …

…, F Lieberman, JJ Zhu, G Stragliotto, DD Tran… - Jama, 2017 - jamanetwork.com
Importance Tumor-treating fields (TTFields) is an antimitotic treatment modality that
interferes with glioblastoma cell division and organelle assembly by delivering low-intensity …

Maintenance therapy with tumor-treating fields plus temozolomide vs temozolomide alone for glioblastoma: a randomized clinical trial

…, TC Chen, DD Tran, J Sroubek, ND Tran… - Jama, 2015 - jamanetwork.com
Importance Glioblastoma is the most devastating primary malignancy of the central nervous
system in adults. Most patients die within 1 to 2 years of diagnosis. Tumor-treating fields (…

Learning spatiotemporal features with 3d convolutional networks

D Tran, L Bourdev, R Fergus… - Proceedings of the …, 2015 - openaccess.thecvf.com
… We also refer 3D convolution and pooling kernel size by d×k ×k, where d is kernel temporal
… size of d where d is the kernel temporal depth (we will later vary the value d of these layers to …

A closer look at spatiotemporal convolutions for action recognition

D Tran, H Wang, L Torresani, J Ray… - Proceedings of the …, 2018 - openaccess.thecvf.com
… Each filter is 4-dimensional and it has size Ni−1 × t × d × d where t denotes the temporal …
Since a good video model must also support effective transfer learning to other datasets, we …

Scaling vision transformers to 22 billion parameters

…, A Kolesnikov, F Pavetic, D Tran… - International …, 2023 - proceedings.mlr.press
… We presented ViT-22B, the currently largest vision transformer model at 22 billion parameters.
We show that with small, but critical changes to the original architecture, we can achieve …

[HTML][HTML] A two-gene expression ratio predicts clinical outcome in breast cancer patients treated with tamoxifen

…, G Mohapatra, R Salunga, JT Tuggle, Y Tran, D Tran… - Cancer cell, 2004 - cell.com
Tamoxifen significantly reduces tumor recurrence in certain patients with early-stage estrogen
receptor-positive breast cancer, but markers predictive of treatment failure have not been …

Image transformer

…, L Kaiser, N Shazeer, A Ku, D Tran - International …, 2018 - proceedings.mlr.press
… We represent the image classes as learned d-dimensional embeddings per class and simply
add the respective embedding to the input representation of every input position together …