Project InnerEye Open-Source Software for Medical Imaging AI

OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation

Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena

Clinical Oncology | October 2024

DOI Github Github Github Github Project

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Publication Github Project

Machine Learning for Auto-Segmentation in Radiotherapy Planning

K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena

The Royal College of Radiologists – Clinical Oncology | January 2022, Vol 34(2): pp. 74-88

Publication Project

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

PDF Preprint Project Project Project

OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation

Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena

Clinical Oncology | October 2024

DOI Github Github Github Github Project

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Publication Github Project

Machine Learning for Auto-Segmentation in Radiotherapy Planning

K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena

The Royal College of Radiologists – Clinical Oncology | January 2022, Vol 34(2): pp. 74-88

Publication Project

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

PDF Preprint Project Project Project

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Publication Github Project

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

PDF Preprint Project Project Project

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Publication Github Project

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

PDF Preprint Project Project Project

OSAIRIS: Lessons Learned from the Hospital-Based Implementation and Evaluation of an Open-Source Deep-Learning Model for Radiotherapy Image Segmentation

Alexandra Constantinou, Andrew Hoole, David C. Wong, G. S. Sagoo, Javier Alvarez-Valle, Kenji Takeda, Tom Griffiths, Amy Edwards, Andrew Robinson, Liam Stubbington, Niall Bolger, Yvonne Rimmer, Thiraviyam Elumalai, K. T. Jayaprakash, Richard Benson, Ian Gleeson, Rebecca Sen, Louisa Stockton, Tian Wang, Stephanie Brown, E. Gatfield, C. Sanghera, Alexandros Mourounas, Barry Evans, Anita Anthony, Renteng Hou, Marian Toomey, K. Wildschut, Aviva Grisby, Gill Barnett, Rose McMullen, Raj Jena

Clinical Oncology | October 2024

DOI Github Github Github Github Project

Active label cleaning for improved dataset quality under resource constraints

Melanie Bernhardt, Daniel Coelho de Castro, Ryutaro Tanno, Anton Schwaighofer, Kerem C. Tezcan, Miguel Monteiro, Shruthi Bannur, Matthew P. Lungren, Aditya Nori, Ben Glocker, Javier Alvarez-Valle, Ozan Oktay

Nature Communications | March 2022, Vol 13(1161): pp. 1-11

Publication Github Project

Machine Learning for Auto-Segmentation in Radiotherapy Planning

K Harrison, H Pullen, C Welsh, Ozan Oktay, Javier Alvarez-Valle, R Jena

The Royal College of Radiologists – Clinical Oncology | January 2022, Vol 34(2): pp. 74-88

Publication Project

Hierarchical Analysis of Visual COVID-19 Features from Chest Radiographs

Shruthi Bannur, Ozan Oktay, Melanie Bernhardt, Anton Schwaighofer, Rajesh Jena, Besmira Nushi, Sharan Wadhwani, Aditya Nori, Kal Natarajan, Shazad Ashraf, Javier Alvarez-Valle, Daniel Coelho de Castro

ICML 2021 Workshop on Interpretable Machine Learning in Healthcare | July 2021

PDF Preprint Project Project Project