Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Weakly-Supervised Feature Learning via Text and Image Matching

Oct 06, 2020
Gongbo Liang, Connor Greenwell, Yu Zhang, Xiaoqin Wang, Ramakanth Kavuluru, Nathan Jacobs


  Access Paper or Ask Questions

Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification

Sep 09, 2020
Gongbo Liang, Yu Zhang, Xiaoqin Wang, Nathan Jacobs

* Accepted to the 31th British Machine Vision Conference (BMVC 2020) 

  Access Paper or Ask Questions

Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization

Mar 02, 2020
Yu Zhang, Gongbo Liang, Nathan Jacobs, Xiaoqin Wang

* Accepted by C-MIMI 2019 as a scientific abstract 

  Access Paper or Ask Questions

Joint 2D-3D Breast Cancer Classification

Feb 27, 2020
Gongbo Liang, Xiaoqin Wang, Yu Zhang, Xin Xing, Hunter Blanton, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

  Access Paper or Ask Questions

2D Convolutional Neural Networks for 3D Digital Breast Tomosynthesis Classification

Feb 27, 2020
Yu Zhang, Xiaoqin Wang, Hunter Blanton, Gongbo Liang, Xin Xing, Nathan Jacobs

* Accepted by IEEE International Conference of Bioinformatics and Biomedicine (BIBM), 2019 

  Access Paper or Ask Questions

Defense-PointNet: Protecting PointNet Against Adversarial Attacks

Feb 27, 2020
Yu Zhang, Gongbo Liang, Tawfiq Salem, Nathan Jacobs

* Accepted by IEEE International Conference on Big Data (BigData) Workshop: The Next Frontier of Big Data From LiDAR, 2019 

  Access Paper or Ask Questions