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2002.12392
Cited By
Joint 2D-3D Breast Cancer Classification
IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019
27 February 2020
G. Liang
Xiaoqin Wang
Yu Zhang
Xin Xing
Hunter Blanton
Tawfiq Salem
Nathan Jacobs
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Papers citing
"Joint 2D-3D Breast Cancer Classification"
8 / 8 papers shown
A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
Jungkyu Park
Jan Witowski
Yanqi Xu
Hari M. Trivedi
J. Gichoya
...
Malte Westerhoff
Linda Moy
Laura Heacock
Alana A. Lewin
Krzysztof J. Geras
327
3
0
08 Apr 2025
Using Large Language Models in Public Transit Systems, San Antonio as a case study
Ramya Jonnala
Gongbo Liang
Jeong Yang
I. Alsmadi
295
4
0
25 Jun 2024
An efficient deep neural network to find small objects in large 3D images
Jungkyu Park
Jakub Chlkedowski
Stanislaw Jastrzebski
Jan Witowski
Yan Xu
...
Melanie Wegener
Linda Moy
Laura Heacock
B. Reig
Krzysztof J. Geras
MedIm
313
1
0
16 Oct 2022
A survey on deep learning approaches for breast cancer diagnosis
Timothy C. H. Kwong
S. Mazaheri
MedIm
187
4
0
18 Sep 2021
Dynamic Image for 3D MRI Image Alzheimer's Disease Classification
Xin Xing
G. Liang
Hunter Blanton
M. U. Rafique
Chris Wang
Ai-Ling Lin
Nathan Jacobs
MedIm
206
49
0
30 Nov 2020
Contrastive Cross-Modal Pre-Training: A General Strategy for Small Sample Medical Imaging
G. Liang
Connor Greenwell
Yu Zhang
Xiaoqin Wang
Ramakanth Kavuluru
Nathan Jacobs
538
27
0
06 Oct 2020
Improved Trainable Calibration Method for Neural Networks on Medical Imaging Classification
British Machine Vision Conference (BMVC), 2020
G. Liang
Yu Zhang
Xiaoqin Wang
Nathan Jacobs
UQCV
195
75
0
09 Sep 2020
Unsupervised Domain Adaptation for Mammogram Image Classification: A Promising Tool for Model Generalization
Yu Zhang
G. Liang
Nathan Jacobs
Xiaoqin Wang
MedIm
OOD
128
3
0
02 Mar 2020
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