research
∙
08/04/2023
Breast Ultrasound Tumor Classification Using a Hybrid Multitask CNN-Transformer Network
Capturing global contextual information plays a critical role in breast ...
share
research
∙
07/21/2023
Transactional Indexes on (RDMA or CXL-based) Disaggregated Memory with Repairable Transaction
The failure atomic and isolated execution of clients operations is a def...
research
∙
05/30/2023
Competing for Shareable Arms in Multi-Player Multi-Armed Bandits
Competitions for shareable and limited resources have long been studied ...
research
∙
05/29/2023
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Most named entity recognition (NER) systems focus on improving model per...
research
∙
04/22/2023
An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation
Code comment generation aims at generating natural language descriptions...
research
∙
01/24/2023
Enhanced Sharp-GAN For Histopathology Image Synthesis
Histopathology image synthesis aims to address the data shortage issue i...
research
∙
09/02/2022
SIAN: Style-Guided Instance-Adaptive Normalization for Multi-Organ Histopathology Image Synthesis
Existing deep networks for histopathology image synthesis cannot generat...
research
∙
03/14/2022
On Cyclic Solutions to the Min-Max Latency Multi-Robot Patrolling Problem
We consider the following surveillance problem: Given a set P of n sites...
research
∙
10/27/2021
Sharp-GAN: Sharpness Loss Regularized GAN for Histopathology Image Synthesis
Existing deep learning-based approaches for histopathology image analysi...
research
∙
10/27/2021
TA-Net: Topology-Aware Network for Gland Segmentation
Gland segmentation is a critical step to quantitatively assess the morph...
research
∙
09/30/2021
Bend-Net: Bending Loss Regularized Multitask Learning Network for Nuclei Segmentation in Histopathology Images
Separating overlapped nuclei is a major challenge in histopathology imag...
research
∙
06/14/2021
Potato Crop Stress Identification in Aerial Images using Deep Learning-based Object Detection
Recent research on the application of remote sensing and deep learning-b...
research
∙
02/24/2021
Multi-Slice Low-Rank Tensor Decomposition Based Multi-Atlas Segmentation: Application to Automatic Pathological Liver CT Segmentation
Liver segmentation from abdominal CT images is an essential step for liv...
research
∙
05/05/2020
Approximation Algorithms for Multi-Robot Patrol-Scheduling with Min-Max Latency
We consider the problem of finding patrol schedules for k robots to visi...
research
∙
02/03/2020