Elliot K. Fishman

verfied profile

∙ 0 followers
Johns Hopkins Medicine

Professor of Radiology and Oncology

Featured Co-authors

Qi Tian
133 publications
Yan Wang
115 publications
Lingxi Xie
73 publications
Ya Zhang
61 publications
Alan L. Yuille
53 publications
Wei Shen
46 publications
Yuyin Zhou
24 publications
Zhuotun Zhu
16 publications
Yingda Xia
14 publications
Peng Tang
13 publications
Qihang Yu
10 publications

Multi-phase Deformable Registration for Time-dependent Abdominal Organ Variations

Human body is a complex dynamic system composed of various sub-dynamic p...
03/08/2021 ∙ by Seyoun Park, et al. ∙ 0 ∙ share

read it
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples

Although deep neural networks have been a dominant method for many 2D vi...
10/29/2020 ∙ by Yingwei Li, et al. ∙ 9 ∙ share

read it
Segmentation for Classification of Screening Pancreatic Neuroendocrine Tumors

This work presents comprehensive results to detect in the early stage th...
04/04/2020 ∙ by Zhuotun Zhu, et al. ∙ 10 ∙ share

read it
Deep Distance Transform for Tubular Structure Segmentation in CT Scans

Tubular structure segmentation in medical images, e.g., segmenting vesse...
12/06/2019 ∙ by Yan Wang, et al. ∙ 17 ∙ share

read it
Thickened 2D Networks for 3D Medical Image Segmentation

There has been a debate in medical image segmentation on whether to use ...
04/02/2019 ∙ by Qihang Yu, et al. ∙ 2 ∙ share

read it
Elastic Boundary Projection for 3D Medical Imaging Segmentation

We focus on an important yet challenging problem: using a 2D deep networ...
12/03/2018 ∙ by Tianwei Ni, et al. ∙ 0 ∙ share

read it
Phase Collaborative Network for Multi-Phase Medical Imaging Segmentation

Integrating multi-phase information is an effective way of boosting visu...
11/28/2018 ∙ by Huangjie Zheng, et al. ∙ 6 ∙ share

read it
Multi-Scale Coarse-to-Fine Segmentation for Screening Pancreatic Ductal Adenocarcinoma

This paper proposes an intuitive approach to finding pancreatic ductal a...
07/09/2018 ∙ by Zhuotun Zhu, et al. ∙ 2 ∙ share

read it
Joint Shape Representation and Classification for Detecting PDAC

We aim to detect pancreatic ductal adenocarcinoma (PDAC) in abdominal CT...
04/27/2018 ∙ by Fengze Liu, et al. ∙ 0 ∙ share

read it
Abdominal multi-organ segmentation with organ-attention networks and statistical fusion

Accurate and robust segmentation of abdominal organs on CT is essential ...
04/23/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound

Deep convolutional neural networks (CNNs), especially fully convolutiona...
04/07/2018 ∙ by Yan Wang, et al. ∙ 0 ∙ share

read it
Semi-supervised multi-organ segmentation via multi-planar co-training

Multi-organ segmentation is a critical problem in medical image analysis...
04/07/2018 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

read it
Bridging the Gap Between 2D and 3D Organ Segmentation

There has been a debate on whether to use 2D or 3D deep neural networks ...
04/02/2018 ∙ by Yingda Xia, et al. ∙ 0 ∙ share

read it
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation

In this paper, we adopt 3D CNNs to segment the pancreas in CT images. Al...
12/01/2017 ∙ by Zhuotun Zhu, et al. ∙ 0 ∙ share

read it
Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation

We aim at segmenting small organs (e.g., the pancreas) from abdominal CT...
09/13/2017 ∙ by Qihang Yu, et al. ∙ 0 ∙ share

read it
Deep Supervision for Pancreatic Cyst Segmentation in Abdominal CT Scans

Automatic segmentation of an organ and its cystic region is a prerequisi...
06/22/2017 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

read it
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans

Deep neural networks have been widely adopted for automatic organ segmen...
12/25/2016 ∙ by Yuyin Zhou, et al. ∙ 0 ∙ share

read it