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Elliot K. Fishman
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2020 – today
- 2024
- [j22]Alicia M. Braxton
, Ashley L. Kiemen
3D genomic mapping reveals multifocality of human pancreatic precancers. Nat. 629(8012): 679-687 (2024) - 2023
- [j21]Malhar Patel
Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. Health Informatics J. 29(4) (2023) - [c22]Mintong Kang, Bowen Li, Zengle Zhu, Yongyi Lu, Elliot K. Fishman, Alan L. Yuille, Zongwei Zhou:
Label-Assemble: Leveraging Multiple Datasets with Partial Labels. ISBI 2023: 1-5 - 2022
- [j20]Edmund M. Weisberg
Is AI the Ultimate QA? J. Digit. Imaging 35(3): 534-537 (2022) - 2021
- [j19]Yan Wang
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c21]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. ICCVW 2021: 3395-3401 - [i22]Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations. CoRR abs/2103.05525 (2021) - [i21]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - 2020
- [j18]Lilly Kauffman, Edmund M. Weisberg, John Eng, Elliot K. Fishman:
Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education. J. Digit. Imaging 33(4): 1053-1057 (2020) - [j17]Lilly Kauffman, Sara Raminpour, Edmund M. Weisberg, Elliot K. Fishman:
So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful. J. Digit. Imaging 33(4): 1058-1064 (2020) - [j16]Lingxi Xie
Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Trans. Medical Imaging 39(2): 514-525 (2020) - [c20]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR 2020: 3832-3841 - [c19]Yingda Xia, Qihang Yu, Wei Shen, Yuyin Zhou
Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. MICCAI (3) 2020: 285-295 - [c18]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou
Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. MICCAI (1) 2020: 656-666 - [i20]Zhuotun Zhu, Yongyi Lu, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. CoRR abs/2004.02021 (2020) - [i19]Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. CoRR abs/2005.09120 (2020) - [i18]Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR abs/2010.16074 (2020)
2010 – 2019
- 2019
- [j15]Lilly Kauffman, Edmund M. Weisberg
What Can Pinterest Do for Radiology? J. Digit. Imaging 32(6): 1062-1070 (2019) - [j14]Yan Wang, Yuyin Zhou
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. Medical Image Anal. 55: 88-102 (2019) - [c17]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
Elastic Boundary Projection for 3D Medical Image Segmentation. CVPR 2019: 2109-2118 - [c16]Yuyin Zhou
Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. ICCV 2019: 10671-10680 - [c15]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille
Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. MICCAI (6) 2019: 3-12 - [c14]Yuyin Zhou
Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI (2) 2019: 155-163 - [c13]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille
Joint Shape Representation and Classification for Detecting PDAC. MLMI@MICCAI 2019: 212-220 - [c12]Fengze Liu, Yuyin Zhou
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. MLMI@MICCAI 2019: 221-229 - [c11]Zhishuai Zhang, Yuyin Zhou
Lesion Detection by Efficiently Bridging 3D Context. MLMI@MICCAI 2019: 470-478 - [c10]Yuyin Zhou
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [p2]Yuyin Zhou
2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 43-67 - [p1]Yingwei Li, Zhuotun Zhu, Yuyin Zhou
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics 2019: 69-91 - [i17]Qihang Yu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Thickened 2D Networks for 3D Medical Image Segmentation. CoRR abs/1904.01150 (2019) - [i16]Yuyin Zhou, Zhe Li, Song Bai, Chong Wang, Xinlei Chen, Mei Han, Elliot K. Fishman, Alan L. Yuille:
Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation. CoRR abs/1904.06346 (2019) - [i15]Fengze Liu, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. CoRR abs/1908.07654 (2019) - [i14]Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park:
Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. CoRR abs/1909.00906 (2019) - [i13]Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CoRR abs/1912.03383 (2019) - 2018
- [c9]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille
A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. 3DV 2018: 682-690 - [c8]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. CVPR 2018: 8280-8289 - [c7]Yan Wang, Yuyin Zhou
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI (4) 2018: 434-442 - [c6]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille
Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. MICCAI (4) 2018: 445-453 - [i12]Yingda Xia, Lingxi Xie, Fengze Liu, Zhuotun Zhu, Elliot K. Fishman, Alan L. Yuille:
Bridging the Gap Between 2D and 3D Organ Segmentation. CoRR abs/1804.00392 (2018) - [i11]Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-supervised multi-organ segmentation via multi-planar co-training. CoRR abs/1804.02586 (2018) - [i10]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. CoRR abs/1804.02595 (2018) - [i9]Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot K. Fishman, Alan L. Yuille:
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. CoRR abs/1804.08414 (2018) - [i8]Fengze Liu, Lingxi Xie, Yingda Xia, Elliot K. Fishman, Alan L. Yuille:
Joint Shape Representation and Classification for Detecting PDAC. CoRR abs/1804.10684 (2018) - [i7]Zhuotun Zhu, Yingda Xia, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. CoRR abs/1807.02941 (2018) - [i6]Huangjie Zheng, Lingxi Xie, Tianwei Ni, Ya Zhang, Yan-Feng Wang, Qi Tian, Elliot K. Fishman, Alan L. Yuille:
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. CoRR abs/1811.11814 (2018) - [i5]Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille:
Elastic Boundary Projection for 3D Medical Imaging Segmentation. CoRR abs/1812.00518 (2018) - 2017
- [j13]David L. Masica, Marco Dal Molin, Christopher L. Wolfgang, Tyler M. Tomita, Mohammad R. Ostovaneh, Amanda Blackford, Robert A. Moran, Joanna K. Law, Thomas Barkley, Michael Goggins, Marcia Irene Canto, Meredith E. Pittman, James R. Eshleman, Syed Z. Ali, Elliot K. Fishman
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. 24(1): 145-152 (2017) - [j12]Cheng Ting Lin
Evaluation of Coronary Artery Disease and Coronary Anomalies with a Handheld Smartphone. J. Digit. Imaging 30(6): 732-737 (2017) - [c5]Konstantin Dmitriev, Arie E. Kaufman, Ammar A. Javed
Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble. MICCAI (3) 2017: 150-158 - [c4]Yuyin Zhou
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. MICCAI (3) 2017: 222-230 - [c3]Yuyin Zhou
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. MICCAI (1) 2017: 693-701 - [i4]Yuyin Zhou, Lingxi Xie, Elliot K. Fishman, Alan L. Yuille:
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. CoRR abs/1706.07346 (2017) - [i3]Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot K. Fishman, Alan L. Yuille:
Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. CoRR abs/1709.04518 (2017) - [i2]Zhuotun Zhu, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. CoRR abs/1712.00201 (2017) - 2016
- [i1]Yuyin Zhou, Lingxi Xie, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. CoRR abs/1612.08230 (2016)
2000 – 2009
- 2008
- [j11]David G. Heath, Horst K. Hahn, Pamela T. Johnson, Elliot K. Fishman:
Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 1. Understanding the IWT Technique. J. Digit. Imaging 21(4): 408-412 (2008) - [j10]Pamela T. Johnson, Horst K. Hahn, David G. Heath, Elliot K. Fishman:
Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 2 - Body CT Angiographic and Orthopedic Applications. J. Digit. Imaging 21(4): 413-421 (2008) - 2003
- [j9]Leo P. Lawler, Susan A. Wood, Harpreet S. Pannu, Elliot K. Fishman:
Computer-Assisted Detection of Pulmonary Nodules: Preliminary Observations Using a Prototype System with Multidetector-Row CT Data Sets. J. Digit. Imaging 16(3): 251-261 (2003) - 2002
- [c2]David S. Ebert
The future of computer graphics: an enabling technology? SIGGRAPH Abstracts and Applications 2002: 93-94 - 2000
- [j8]Karen M. Horton, Melissa R. Garland, Elliot K. Fishman:
The internet as a potential source of information about radiological procedures for patients. J. Digit. Imaging 13(1): 46-47 (2000)
1990 – 1999
- 1998
- [j7]David S. Ebert, David G. Heath, Brian S. Kuszyk, Linglan Edwards, Christopher D. Shaw
Evaluating the potential and problems of three-dimensional computed tomography measurements of arterial stenosis. J. Digit. Imaging 11(3): 151-157 (1998) - 1996
- [j6]Elliot K. Fishman, Brian S. Kuszyk, David G. Heath, Luomin Gao, Brian Cabral:
Surgical Planning for Liver Resection. Computer 29(1): 64-72 (1996) - 1994
- [j5]Janet E. Kuhlman, Derek R. Ney, Elliot K. Fishman:
Two-dimensional and three-dimensional imaging of the in vivo lung: Combining spiral computed tomogrpahy with multiplanar and volumetric rendering techniques. J. Digit. Imaging 7(1): 42-47 (1994) - [j4]Joseph G. Hennessey, Elliot K. Fishman, Derek R. Ney:
Digital video applications in radiologic education: Theory, technique, and applications. J. Digit. Imaging 7(2): 85-90 (1994) - [c1]Christian Roux, Jean-Louis Coatrieux, Jean-Louis Dillenseger
Visualization in Medicine: VIRTUAL Reality or ACTUAL Reality? (Panel). IEEE Visualization 1994: 396-399 - 1992
- [j3]Derek R. Ney, Elliot K. Fishman, John E. Niederhuber:
Three-dimensional display of hepatic venous anatomy generated from spiral computed tomography data: Preliminary results. J. Digit. Imaging 5(4): 242-245 (1992) - 1991
- [j2]Derek R. Ney, Elliot K. Fishman:
Editing tools for 3D medical imaging. IEEE Computer Graphics and Applications 11(6): 63-71 (1991) - 1990
- [j1]Derek R. Ney, Elliot K. Fishman, Donna Magid, Robert A. Drebin:
Volumetric rendering of computed tomography data: principles and techniques. IEEE Computer Graphics and Applications 10(2): 24-32 (1990)
Coauthor Index
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last updated on 2024-09-05 01:14 CEST by the dblp team
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