research
∙
05/25/2023
Characterizing Out-of-Distribution Error via Optimal Transport
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
share
research
∙
02/10/2023
Predicting Out-of-Distribution Error with Confidence Optimal Transport
Out-of-distribution (OOD) data poses serious challenges in deployed mach...
research
∙
09/30/2022
An Interactive Interpretability System for Breast Cancer Screening with Deep Learning
Deep learning methods, in particular convolutional neural networks, have...
research
∙
05/31/2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
The quantitative detection, segmentation, and characterization of glomer...
research
∙
02/08/2022
Teaching Networks to Solve Optimization Problems
Leveraging machine learning to optimize the optimization process is an e...
research
∙
01/31/2022
Holistic Fine-grained GGS Characterization: From Detection to Unbalanced Classification
Recent studies have demonstrated the diagnostic and prognostic values of...
research
∙
12/11/2021
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Learning from set-structured data is an essential problem with many appl...
research
∙
10/22/2021
Circle Representation for Medical Object Detection
Box representation has been extensively used for object detection in com...
research
∙
04/11/2021
Compressive Neural Representations of Volumetric Scalar Fields
We present an approach for compressing volumetric scalar fields using im...
research
∙
03/09/2021
SimTriplet: Simple Triplet Representation Learning with a Single GPU
Contrastive learning is a key technique of modern self-supervised learni...
research
∙
03/04/2021
Contrastive Learning Meets Transfer Learning: A Case Study In Medical Image Analysis
Annotated medical images are typically rarer than labeled natural images...
research
∙
01/16/2021
Improve Global Glomerulosclerosis Classification with Imbalanced Data using CircleMix Augmentation
The classification of glomerular lesions is a routine and essential task...
research
∙
07/28/2020
EasierPath: An Open-source Tool for Human-in-the-loop Deep Learning of Renal Pathology
Considerable morphological phenotyping studies in nephrology have emerge...
research
∙
06/10/2020
Map3D: Registration Based Multi-Object Tracking on 3D Serial Whole Slide Images
There has been a long pursuit for precise and reproducible glomerular qu...
research
∙
06/03/2020
