Volumetric rendering of computed tomography data: principles and techniques. - Derek R. Ney; Elliot K. Fishman; Donna Magid; Robert A. Drebin (IEEE Computer Graphics and Applications, 1990)

Editing tools for 3D medical imaging. - Derek R. Ney; Elliot K. Fishman (IEEE Computer Graphics and Applications, 1991)

Three-dimensional display of hepatic venous anatomy generated from spiral computed tomography data: Preliminary results. - Derek R. Ney; Elliot K. Fishman; John E. Niederhuber (J. Digit. Imaging, 1992)

Visualization in Medicine: VIRTUAL Reality or ACTUAL Reality? (Panel). - Christian Roux; Jean-Louis Coatrieux; Jean-Louis Dillenseger; Elliot K. Fishman; Murray H. Loew; Hans-Peter Meinzer; Justin D. Pearlman (IEEE Visualization, 1994)

Digital video applications in radiologic education: Theory, technique, and applications. - Joseph G. Hennessey; Elliot K. Fishman; Derek R. Ney (J. Digit. Imaging, 1994)

Two-dimensional and three-dimensional imaging of the in vivo lung: Combining spiral computed tomogrpahy with multiplanar and volumetric rendering techniques. - Janet E. Kuhlman; Derek R. Ney; Elliot K. Fishman (J. Digit. Imaging, 1994)

Surgical Planning for Liver Resection. - Elliot K. Fishman; Brian S. Kuszyk; David G. Heath; Luomin Gao; Brian Cabral (Computer, 1996)

Evaluating the potential and problems of three-dimensional computed tomography measurements of arterial stenosis. - David S. Ebert; David G. Heath; Brian S. Kuszyk; Linglan Edwards; Christopher D. Shaw; James M. Kukla; Ted Bedwell; Elliot K. Fishman (J. Digit. Imaging, 1998)

The internet as a potential source of information about radiological procedures for patients. - Karen M. Horton; Melissa R. Garland; Elliot K. Fishman (J. Digit. Imaging, 2000)

The future of computer graphics: an enabling technology? - David S. Ebert; Bill Buxton; Patricia Davies; Elliot K. Fishman; Andrew S. Glassner (SIGGRAPH Abstracts and Applications, 2002)

Computer-Assisted Detection of Pulmonary Nodules: Preliminary Observations Using a Prototype System with Multidetector-Row CT Data Sets. - Leo P. Lawler; Susan A. Wood; Harpreet S. Pannu; Elliot K. Fishman (J. Digit. Imaging, 2003)

Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 1. Understanding the IWT Technique. - David G. Heath; Horst K. Hahn; Pamela T. Johnson; Elliot K. Fishman (J. Digit. Imaging, 2008)

Automated Multidetector Row CT Dataset Segmentation with an Interactive Watershed Transform (IWT) Algorithm: Part 2 - Body CT Angiographic and Orthopedic Applications. - Pamela T. Johnson; Horst K. Hahn; David G. Heath; Elliot K. Fishman (J. Digit. Imaging, 2008)

Pancreas Segmentation in Abdominal CT Scan: A Coarse-to-Fine Approach. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2016)

Classification of Pancreatic Cysts in Computed Tomography Images Using a Random Forest and Convolutional Neural Network Ensemble. - Konstantin Dmitriev; Arie E. Kaufman; Ammar A. Javed; Ralph H. Hruban; Elliot K. Fishman; Anne Marie Lennon; Joel H. Saltz (MICCAI (3), 2017)

Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2017)

A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. - Yuyin Zhou; Lingxi Xie; Wei Shen 002; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2017)

Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Pancreas Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2017)

A novel approach for selecting combination clinical markers of pathology applied to a large retrospective cohort of surgically resected pancreatic cysts. - 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; et al. (J. Am. Medical Informatics Assoc., 2017)

Evaluation of Coronary Artery Disease and Coronary Anomalies with a Handheld Smartphone. - Cheng Ting Lin; Stefan L. Zimmerman; Linda C. Chu; John Eng; Elliot K. Fishman (J. Digit. Imaging, 2017)

A 3D Coarse-to-Fine Framework for Volumetric Medical Image Segmentation. - Zhuotun Zhu; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (3DV, 2018)

Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. - Qihang Yu; Lingxi Xie; Yan Wang 033; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (CVPR, 2018)

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. - Yan Wang 033; Yuyin Zhou; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation with Volumetric Fusion Net. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (MICCAI (4), 2018)

Bridging the Gap Between 2D and 3D Organ Segmentation. - Yingda Xia; Lingxi Xie; Fengze Liu; Zhuotun Zhu; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Semi-supervised multi-organ segmentation via multi-planar co-training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation. - Huangjie Zheng; Lingxi Xie; Tianwei Ni; Ya Zhang 002; Yanfeng Wang 001; Qi Tian 001; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Elastic Boundary Projection for 3D Medical Imaging Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CoRR, 2018)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans. - Yuyin Zhou; Qihang Yu; Yan Wang 033; Lingxi Xie; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics, 2019)

Elastic Boundary Projection for 3D Medical Image Segmentation. - Tianwei Ni; Lingxi Xie; Huangjie Zheng; Elliot K. Fishman; Alan L. Yuille (CVPR, 2019)

Prior-Aware Neural Network for Partially-Supervised Multi-Organ Segmentation. - Yuyin Zhou; Zhe Li; Song Bai 001; Xinlei Chen; Mei Han; Chong Wang; Elliot K. Fishman; Alan L. Yuille (ICCV, 2019)

Joint Shape Representation and Classification for Detecting PDAC. - Fengze Liu; Lingxi Xie; Yingda Xia; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans. - Fengze Liu; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Lesion Detection by Efficiently Bridging 3D Context. - Zhishuai Zhang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MLMI@MICCAI, 2019)

Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. - Yuyin Zhou; Yingwei Li 002; Zhishuai Zhang; Yan Wang 033; Angtian Wang; Elliot K. Fishman; Alan L. Yuille; Seyoun Park (MICCAI (2), 2019)

Multi-scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma. - Zhuotun Zhu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (MICCAI (6), 2019)

Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. - Yuyin Zhou; Yan Wang 033; Peng Tang; Song Bai 001; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (WACV, 2019)

Thickened 2D Networks for 3D Medical Image Segmentation. - Qihang Yu; Yingda Xia; Lingxi Xie; Elliot K. Fishman; Alan L. Yuille (CoRR, 2019)

What Can Pinterest Do for Radiology? - Lilly Kauffman; Edmund M. Weisberg; Elliot K. Fishman (J. Digit. Imaging, 2019)

Abdominal multi-organ segmentation with organ-attention networks and statistical fusion. - Yan Wang 033; Yuyin Zhou; Wei Shen 002; Seyoun Park; Elliot K. Fishman; Alan L. Yuille (Medical Image Anal., 2019)

Deep Distance Transform for Tubular Structure Segmentation in CT Scans. - Yan Wang 033; Xu Wei; Fengze Liu; Jieneng Chen; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CVPR, 2020)

Domain Adaptive Relational Reasoning for 3D Multi-organ Segmentation. - Shuhao Fu; Yongyi Lu; Yan Wang 033; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (MICCAI (1), 2020)

Detecting Pancreatic Ductal Adenocarcinoma in Multi-phase CT Scans via Alignment Ensemble. - Yingda Xia; Qihang Yu; Wei Shen 002; Yuyin Zhou; Elliot K. Fishman; Alan L. Yuille (MICCAI (3), 2020)

Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. - Yingwei Li 002; Zhuotun Zhu; Yuyin Zhou; Yingda Xia; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (CoRR, 2020)

So You Want to Develop an App for Radiology Education? What You Need to Know to Be Successful. - Lilly Kauffman; Sara Raminpour; Edmund M. Weisberg; Elliot K. Fishman (J. Digit. Imaging, 2020)

Is a Picture Really Worth More than a Thousand Words? Which Instagram Post Types Elicit the Best Response for Radiology Education. - Lilly Kauffman; Edmund M. Weisberg; John Eng; Elliot K. Fishman (J. Digit. Imaging, 2020)

Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. - Lingxi Xie; Qihang Yu; Yuyin Zhou; Yan Wang 033; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2020)

Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors. - Zhuotun Zhu; Yongyi Lu; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (ICCVW, 2021)

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations. - Seyoun Park; Elliot K. Fishman; Alan L. Yuille (CoRR, 2021)

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. - Yan Wang 033; Peng Tang; Yuyin Zhou; Wei Shen 002; Elliot K. Fishman; Alan L. Yuille (IEEE Trans. Medical Imaging, 2021)

Is AI the Ultimate QA? - Edmund M. Weisberg; Linda C. Chu; Benjamin D. Nguyen; Pelu Tran; Elliot K. Fishman (J. Digit. Imaging, 2022)

Label-Assemble: Leveraging Multiple Datasets with Partial Labels. - Mintong Kang; Bowen Li; Zengle Zhu; Yongyi Lu; Elliot K. Fishman; Alan L. Yuille; Zongwei Zhou (ISBI, 2023)

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes. - Malhar Patel; Ittai Dayan; Elliot K. Fishman; Mona Flores; Fiona J. Gilbert; Michal Guindy; Eugene J. Koay; Michael Rosenthal; Holger R. Roth; Marius George Linguraru (Health Informatics J., 2023)

3D genomic mapping reveals multifocality of human pancreatic precancers. - Alicia M. Braxton; Ashley L. Kiemen; Mia P. Grahn; André Forjaz; Jeeun Parksong; Jaanvi Mahesh Babu; Jiaying Lai; Lily Zheng; Noushin Niknafs; Liping Jiang; Haixia Cheng; Qianqian Song; et al. (Nat., 2024)