Get our free extension to see links to code for papers anywhere online!

 Add to Chrome

 Add to Firefox

CatalyzeX Code Finder - Browser extension linking code for ML papers across the web! | Product Hunt Embed
Automated detection and quantification of COVID-19 airspace disease on chest radiographs: A novel approach achieving radiologist-level performance using a CNN trained on digital reconstructed radiographs (DRRs) from CT-based ground-truth

Aug 13, 2020
Eduardo Mortani Barbosa Jr., Warren B. Gefter, Rochelle Yang, Florin C. Ghesu, Siqi Liu, Boris Mailhe, Awais Mansoor, Sasa Grbic, Sebastian Piat, Guillaume Chabin, Vishwanath R S., Abishek Balachandran, Sebastian Vogt, Valentin Ziebandt, Steffen Kappler, Dorin Comaniciu


  Access Paper or Ask Questions

Extracting and Leveraging Nodule Features with Lung Inpainting for Local Feature Augmentation

Aug 05, 2020
Sebastian Guendel, Arnaud Arindra Adiyoso Setio, Sasa Grbic, Andreas Maier, Dorin Comaniciu

* Accepted at MICCAI MLMI 2020 

  Access Paper or Ask Questions

Quantifying and Leveraging Predictive Uncertainty for Medical Image Assessment

Jul 08, 2020
Florin C. Ghesu, Bogdan Georgescu, Awais Mansoor, Youngjin Yoo, Eli Gibson, R. S. Vishwanath, Abishek Balachandran, James M. Balter, Yue Cao, Ramandeep Singh, Subba R. Digumarthy, Mannudeep K. Kalra, Sasa Grbic, Dorin Comaniciu

* Under review at Medical Image Analysis 

  Access Paper or Ask Questions

Machine Learning Automatically Detects COVID-19 using Chest CTs in a Large Multicenter Cohort

Jun 11, 2020
Bogdan Georgescu, Shikha Chaganti, Gorka Bastarrika Aleman, Eduardo Jose Mortani Barbosa Jr., Jordi Broncano Cabrero, Guillaume Chabin, Thomas Flohr, Philippe Grenier, Sasa Grbic, Nakul Gupta, François Mellot, Savvas Nicolaou, Thomas Re, Pina Sanelli, Alexander W. Sauter, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu


  Access Paper or Ask Questions

3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19

May 05, 2020
Siqi Liu, Bogdan Georgescu, Zhoubing Xu, Youngjin Yoo, Guillaume Chabin, Shikha Chaganti, Sasa Grbic, Sebastian Piat, Brian Teixeira, Abishek Balachandran, Vishwanath RS, Thomas Re, Dorin Comaniciu


  Access Paper or Ask Questions

Quantification of Tomographic Patterns associated with COVID-19 from Chest CT

Apr 28, 2020
Shikha Chaganti, Abishek Balachandran, Guillaume Chabin, Stuart Cohen, Thomas Flohr, Bogdan Georgescu, Philippe Grenier, Sasa Grbic, Siqi Liu, François Mellot, Nicolas Murray, Savvas Nicolaou, William Parker, Thomas Re, Pina Sanelli, Alexander W. Sauter, Zhoubing Xu, Youngjin Yoo, Valentin Ziebandt, Dorin Comaniciu


  Access Paper or Ask Questions

Graph Attention Network based Pruning for Reconstructing 3D Liver Vessel Morphology from Contrasted CT Images

Mar 18, 2020
Donghao Zhang, Siqi Liu, Shikha Chaganti, Eli Gibson, Zhoubing Xu, Sasa Grbic, Weidong Cai, Dorin Comaniciu


  Access Paper or Ask Questions

No Surprises: Training Robust Lung Nodule Detection for Low-Dose CT Scans by Augmenting with Adversarial Attacks

Mar 08, 2020
Siqi Liu, Arnaud Arindra Adiyoso Setio, Florin C. Ghesu, Eli Gibson, Sasa Grbic, Bogdan Georgescu, Dorin Comaniciu


  Access Paper or Ask Questions

Quantifying and Leveraging Classification Uncertainty for Chest Radiograph Assessment

Jun 18, 2019
Florin C. Ghesu, Bogdan Georgescu, Eli Gibson, Sebastian Guendel, Mannudeep K. Kalra, Ramandeep Singh, Subba R. Digumarthy, Sasa Grbic, Dorin Comaniciu

* Accepted for presentation at MICCAI 2019 

  Access Paper or Ask Questions

Multi-task Learning for Chest X-ray Abnormality Classification on Noisy Labels

May 15, 2019
Sebastian Guendel, Florin C. Ghesu, Sasa Grbic, Eli Gibson, Bogdan Georgescu, Andreas Maier, Dorin Comaniciu


  Access Paper or Ask Questions

Class-Aware Adversarial Lung Nodule Synthesis in CT Images

Dec 28, 2018
Jie Yang, Siqi Liu, Sasa Grbic, Arnaud Arindra Adiyoso Setio, Zhoubing Xu, Eli Gibson, Guillaume Chabin, Bogdan Georgescu, Andrew F. Laine, Dorin Comaniciu


  Access Paper or Ask Questions

Decompose to manipulate: Manipulable Object Synthesis in 3D Medical Images with Structured Image Decomposition

Dec 04, 2018
Siqi Liu, Eli Gibson, Sasa Grbic, Zhoubing Xu, Arnaud Arindra Adiyoso Setio, Jie Yang, Bogdan Georgescu, Dorin Comaniciu


  Access Paper or Ask Questions

Combo Loss: Handling Input and Output Imbalance in Multi-Organ Segmentation

Oct 22, 2018
Saeid Asgari Taghanaki, Yefeng Zheng, S. Kevin Zhou, Bogdan Georgescu, Puneet Sharma, Daguang Xu, Dorin Comaniciu, Ghassan Hamarneh


  Access Paper or Ask Questions

Generating Synthetic X-ray Images of a Person from the Surface Geometry

May 14, 2018
Brian Teixeira, Vivek Singh, Terrence Chen, Kai Ma, Birgi Tamersoy, Yifan Wu, Elena Balashova, Dorin Comaniciu

* accepted for spotlight presentation at CVPR 2018 

  Access Paper or Ask Questions

Select, Attend, and Transfer: Light, Learnable Skip Connections

May 03, 2018
Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu, Puneet Sharma, Sasa Grbic, Zhoubing Xu, Dorin Comaniciu, Ghassan Hamarneh


  Access Paper or Ask Questions

Learning to recognize Abnormalities in Chest X-Rays with Location-Aware Dense Networks

Mar 12, 2018
Sebastian Guendel, Sasa Grbic, Bogdan Georgescu, Kevin Zhou, Ludwig Ritschl, Andreas Meier, Dorin Comaniciu


  Access Paper or Ask Questions

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

Dec 04, 2017
Siqi Liu, Daguang Xu, S. Kevin Zhou, Thomas Mertelmeier, Julia Wicklein, Anna Jerebko, Sasa Grbic, Olivier Pauly, Weidong Cai, Dorin Comaniciu


  Access Paper or Ask Questions

Automatic Liver Segmentation Using an Adversarial Image-to-Image Network

Jul 25, 2017
Dong Yang, Daguang Xu, S. Kevin Zhou, Bogdan Georgescu, Mingqing Chen, Sasa Grbic, Dimitris Metaxas, Dorin Comaniciu

* Accepted by MICCAI 2017 

  Access Paper or Ask Questions

Automatic Vertebra Labeling in Large-Scale 3D CT using Deep Image-to-Image Network with Message Passing and Sparsity Regularization

May 17, 2017
Dong Yang, Tao Xiong, Daguang Xu, Qiangui Huang, David Liu, S. Kevin Zhou, Zhoubing Xu, JinHyeong Park, Mingqing Chen, Trac D. Tran, Sang Peter Chin, Dimitris Metaxas, Dorin Comaniciu


  Access Paper or Ask Questions

A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes

Mar 19, 2017
Assaf Hoogi, John W. Lambert, Yefeng Zheng, Dorin Comaniciu, Daniel L. Rubin

* Workshop on Machine Learning in Healthcare, Neural Information Processing Systems (NIPS). Barcelona, Spain, 2016 

  Access Paper or Ask Questions

An Artificial Agent for Robust Image Registration

Nov 30, 2016
Rui Liao, Shun Miao, Pierre de Tournemire, Sasa Grbic, Ali Kamen, Tommaso Mansi, Dorin Comaniciu

* To appear in AAAI Conference 2017 

  Access Paper or Ask Questions

Shaping the Future through Innovations: From Medical Imaging to Precision Medicine

Jun 08, 2016
Dorin Comaniciu, Klaus Engel, Bogdan Georgescu, Tommaso Mansi

* Submitted to Medical Image Analysis, Elsevier, 20th Anniversary Special Issue 

  Access Paper or Ask Questions

A Self-Taught Artificial Agent for Multi-Physics Computational Model Personalization

May 01, 2016
Dominik Neumann, Tommaso Mansi, Lucian Itu, Bogdan Georgescu, Elham Kayvanpour, Farbod Sedaghat-Hamedani, Ali Amr, Jan Haas, Hugo Katus, Benjamin Meder, Stefan Steidl, Joachim Hornegger, Dorin Comaniciu

* Submitted to Medical Image Analysis, Elsevier 

  Access Paper or Ask Questions