Elliot K. Fishman
Orcid: 0000-0002-2567-1658
According to our database1,
Elliot K. Fishman
authored at least 55 papers
between 1990 and 2023.
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Bibliography
2023
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.
Health Informatics J., October, 2023
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
2021
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.
IEEE Trans. Medical Imaging, 2021
CoRR, 2021
Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021
2020
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans.
IEEE Trans. Medical Imaging, 2020
Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education.
J. Digit. Imaging, 2020
So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful.
J. Digit. Imaging, 2020
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples.
CoRR, 2020
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion.
Medical Image Anal., 2019
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples.
Proceedings of the Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019
2018
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Proceedings of the 2018 International Conference on 3D Vision, 2018
2017
Evaluation of Coronary Artery Disease and Coronary Anomalies with a Handheld Smartphone.
J. Digit. Imaging, 2017
A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts.
J. Am. Medical Informatics Assoc., 2017
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation.
CoRR, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017
2016
2008
Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 2 - Body CT Angiographic and Orthopedic Applications.
J. Digit. Imaging, 2008
Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 1. Understanding the IWT Technique.
J. Digit. Imaging, 2008
2003
Computer-Assisted Detection of Pulmonary Nodules: Preliminary Observations Using a Prototype System with Multidetector-Row CT Data Sets.
J. Digit. Imaging, 2003
2002
Proceedings of the 29th International Conference on Computer Graphics and Interactive Techniques, 2002
2000
The internet as a potential source of information about radiological procedures for patients.
J. Digit. Imaging, 2000
1998
Evaluating the potential and problems of three-dimensional computed tomography measurements of arterial stenosis.
J. Digit. Imaging, 1998
1996
1994
Two-dimensional and three-dimensional imaging of the in vivo lung: Combining spiral computed tomogrpahy with multiplanar and volumetric rendering techniques.
J. Digit. Imaging, 1994
Digital video applications in radiologic education: Theory, technique, and applications.
J. Digit. Imaging, 1994
Proceedings of the 5th IEEE Visualization Conference, 1994
1992
Three-dimensional display of hepatic venous anatomy generated from spiral computed tomography data: Preliminary results.
J. Digit. Imaging, 1992
1991
1990
IEEE Computer Graphics and Applications, 1990