output
20132023
most citedDual Cross-Attention for Medical Image Segmentation

212 citations

7 papers

cs.LG2023★ 8 cited

Contrastive Learning for Predicting Cancer Prognosis Using Gene Expression Values

Anchen Sun, Elizabeth J. Franzmann, Zhibin Chen +1

Recent advancements in image classification have demonstrated that contrastive learning (CL) can aid in further learning tasks by acquiring good feature representation from a limit…

physics.med-ph2023★ 12 cited

Implementation and evaluation of a dynamic contrast enhanced mr perfusion protocol for glioblastoma using a 0.35T mri-Linac system

Danilo Maziero, Gregory Azzam, Macarena de La Fuente +3

MRI-linear accelerator (MRI-Linac) systems allow for daily tracking of MRI changes during radiotherapy (RT). Since one common MRI-Linac operates at 0.35T, there are efforts towards…

cs.CV2023★ 212 cited

Dual Cross-Attention for Medical Image Segmentation

Gorkem Can Ates, Prasoon Mohan, Emrah Celik

We propose Dual Cross-Attention (DCA), a simple yet effective attention module that is able to enhance skip-connections in U-Net-based architectures for medical image segmentation.…

cs.DL2023★ 5 cited

Interdisciplinary Papers Supported by Disciplinary Grants Garner Deep and Broad Scientific Impact

Minsu Park, Suman Kalyan Maity, Stefan Wuchty +1

Interdisciplinary research has emerged as a hotbed for innovation and a key approach to addressing complex societal challenges. The increasing dominance of grant-supported research…

stat.ME2015★ 48 cited

Simulation-based Estimation of Mean and Standard Deviation for Meta-analysis via Approximate Bayesian Computation (ABC)

Deukwoo Kwon, Isildinha M. Reis

Background: When conducting a meta-analysis of a continuous outcome, estimated means and standard deviations from the selected studies are required in order to obtain an overall es…

stat.AP2014★ 41 cited

Bayesian dose-response analysis for epidemiological studies with complex uncertainty in dose estimation

Deukwoo Kwon, F. Owen Hoffman, Brian E. Moroz +1

Most conventional risk analysis methods rely on a single best estimate of exposure per person which does not allow for adjustment for exposure-related uncertainty. Here, we propose…

q-bio.PE2013★ 2 cited

Genome-wide scan of 29,141 African Americans finds no evidence of selection since admixture

Gaurav Bhatia, Arti Tandon, Melinda C. Aldrich +44

We scanned through the genomes of 29,141 African Americans, searching for loci where the average proportion of African ancestry deviates significantly from the genome-wide average.…