Geras, Krzysztof J.
- fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
2018/11/21 by Jure Žbontar, Florian Knöll, Zbontar, Jure +47 · 61 citations
Medicine · #Advanced MRI Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Physical sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Imaging Techniques and Applications #Medical Physics (physics.med-ph) #Radiomics and Machine Learning in Medical Imaging #Signal Processing (eess.SP) #electronic engineering #information engineering
- Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
2019/03/20 by Nan Wu, Wu, Nan, Jason Phang +61 · 1 voice · 5 citations
Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CV #cs.LG #stat.ML
- Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
2016/03/17 by Gregor Urban, Krzysztof J. Geras, Urban, Gregor +15 · 17 citations
Computer Science · #Advanced Neural Network Applications #Machine Learning and Data Classification #Adversarial Robustness in Machine Learning
- MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images
2022/07/14 by Nasir Hayat, Hayat, Nasir, Krzysztof J. Geras +3 · 12 citations
Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Phonocardiography and Auscultation Techniques #electronic engineering #information engineering
- Characterizing and overcoming the greedy nature of learning in multi-modal deep neural networks
2022/02/10 by Nan Wu, Stanisław Jastrzȩbski, Wu, Nan +5 · 11 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
- High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
2017/03/21 by Geras, Krzysztof J., Wolfson, Stacey, Shen, Yiqiu +7 · 2 citations
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Multiple Instance Learning via Iterative Self-Paced Supervised Contrastive Learning
2022/10/17 by Liu, Kangning, Zhu, Weicheng, Shen, Yiqiu +4 · 3 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Towards dynamic multi-modal phenotyping using chest radiographs and\n physiological data
2021/11/04 by Nasir Hayat, Hayat, Nasir, Krzysztof J. Geras +3 · 2 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning in Healthcare #Phonocardiography and Auscultation Techniques #electronic engineering #information engineering
- An interpretable classifier for high-resolution breast cancer screening images utilizing weakly supervised localization
2020/02/13 by Shen, Yiqiu, Wu, Nan, Phang, Jason +8 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #electronic engineering #information engineering
- COVID-19 Prognosis via Self-Supervised Representation Learning and Multi-Image Prediction
2021/01/13 by Anuroop Sriram, Sriram, Anuroop, Matthew J. Muckley +17 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Radiomics and Machine Learning in Medical Imaging
- Differences between human and machine perception in medical diagnosis
2020/11/28 by Taro Makino, Stanisław Jastrzȩbski, Makino, Taro +39 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Computers and Society (cs.CY) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering
- Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis
2021/06/13 by Liu, Kangning, Shen, Yiqiu, Wu, Nan +3 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Leveraging Transformers to Improve Breast Cancer Classification and Risk Assessment with Multi-modal and Longitudinal Data
2023/11/06 by Shen, Yiqiu, Park, Jungkyu, Yeung, Frank +4 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Understanding differences in applying DETR to natural and medical images
2024/05/27 by Xu, Yanqi, Shen, Yiqiu, Fernandez-Granda, Carlos +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- A Multi-Modal AI System for Screening Mammography: Integrating 2D and 3D Imaging to Improve Breast Cancer Detection in a Prospective Clinical Study
2025/04/08 by Jungkyu Park, Jan Witowski, Park, Jungkyu +19 · 1 citation
Computer Science · Medicine · #AI in cancer detection #Computer Vision and Pattern Recognition (cs.CV) #Digital Radiography and Breast Imaging #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Radiomics and Machine Learning in Medical Imaging #electronic engineering #information engineering