Hugo J W L Aerts (Hugo Jwl Aerts, H J Aerts, Hugo J Aerts)

ResearcherID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 60

Top Venues

Nature communications

Radiology. Artificial intelligence

NPJ digital medicine

Scientific data

Dana Farber Cancer Institute

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Dana Farber Cancer Institute

United States

Director CIBL :: Radiation Oncology

Harvard Medical School

United States

Associate Professor

Publications

Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Felix Busch, Keno Kyrill Bressem, Phillip Suwalski, Lena Hoffmann, Stefan Markus Niehues, Denis Poddubnyy, Marcus R Makowski, Hugo J W L Aerts, Andrei Zhukov, Lisa C Adams
Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs. Radiology. Artificial intelligence 6 (5) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny, Raymond H Mak, Keyvan Farahani, Ron Kikinis, Andrey Fedorov, Hugo J W L Aerts
End-to-end reproducible AI pipelines in radiology using the cloud. Nature communications 15 (1) (2024)
Jakob Weiss, Vineet K Raghu, Kaavya Paruchuri, Aniket Zinzuwadia, Pradeep Natarajan, Hugo J W L Aerts, Michael T Lu
Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study. Annals of internal medicine (2024)
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny, Raymond H Mak, Keyvan Farahani, Ron Kikinis, Andrey Fedorov, Hugo J W L Aerts
End-to-end reproducible AI pipelines in radiology using the cloud. Nature communications 15 (1) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Felix Busch, Keno Kyrill Bressem, Phillip Suwalski, Lena Hoffmann, Stefan Markus Niehues, Denis Poddubnyy, Marcus R Makowski, Hugo J W L Aerts, Andrei Zhukov, Lisa C Adams
Open Access Data and Deep Learning for Cardiac Device Identification on Standard DICOM and Smartphone-based Chest Radiographs. Radiology. Artificial intelligence (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Jakob Weiss, Vineet K Raghu, Kaavya Paruchuri, Aniket Zinzuwadia, Pradeep Natarajan, Hugo J W L Aerts, Michael T Lu
Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study. Annals of internal medicine 177 (4) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Foldyna Borek, Ibrahim Hadzic, Roman Zeleznik, Marcel C Langenbach, Vineet K Raghu, Thomas Mayrhofer, Michael T Lu, Hugo J W L Aerts
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. Communications medicine 4 (1) (2024)
Foldyna Borek, Ibrahim Hadzic, Roman Zeleznik, Marcel C Langenbach, Vineet K Raghu, Thomas Mayrhofer, Michael T Lu, Hugo J W L Aerts
Deep learning analysis of epicardial adipose tissue to predict cardiovascular risk in heavy smokers. Communications medicine 4 (1) (2024)
Deepa Krishnaswamy, Dennis Bontempi, Vamsi Krishna Thiriveedhi, Davide Punzo, David A Clunie, Christopher P Bridge, Hugo J W L Aerts, Ron Kikinis, Andrey Fedorov
Enrichment of lung cancer computed tomography collections with AI-derived annotations. Scientific data 11 (1) (2024)
Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai Juul Birkbak, Hugo J W L Aerts
Foundation model for cancer imaging biomarkers. Nature machine intelligence 6 (3) (2024)
Dennis Bontempi, Leonard Nuernberg, Suraj Pai, Deepa Krishnaswamy, Vamsi Thiriveedhi, Ahmed Hosny, Raymond H Mak, Keyvan Farahani, Ron Kikinis, Andrey Fedorov, Hugo J W L Aerts
End-to-end reproducible AI pipelines in radiology using the cloud. Nature communications 15 (1) (2024)
Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai Juul Birkbak, Hugo J W L Aerts
Foundation model for cancer imaging biomarkers. Nature machine intelligence 6 (3) (2024)
Jakob Weiss, Vineet K Raghu, Kaavya Paruchuri, Aniket Zinzuwadia, Pradeep Natarajan, Hugo J W L Aerts, Michael T Lu
Deep Learning to Estimate Cardiovascular Risk From Chest Radiographs : A Risk Prediction Study. Annals of internal medicine 177 (4) (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-Level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence (2024)
Aidan Boyd, Zezhong Ye, Sanjay P Prabhu, Michael C Tjong, Yining Zha, Anna Zapaishchykova, Sridhar Vajapeyam, Paul J Catalano, Hasaan Hayat, Rishi Chopra, Kevin X Liu, Ali Nabavizadeh, Adam C Resnick, Sabine Mueller, Daphne A Haas-Kogan, Hugo J W L Aerts, T Young Poussaint, Benjamin H Kann
Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario. Radiology. Artificial intelligence 6 (4) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Marco Guevara, Shan Chen, Spencer Thomas, Tafadzwa L Chaunzwa, Idalid Franco, Benjamin H Kann, Shalini Moningi, Jack M Qian, Madeleine Goldstein, Susan Harper, Hugo J W L Aerts, Paul J Catalano, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Large language models to identify social determinants of health in electronic health records. NPJ digital medicine 7 (1) (2024)
Shan Chen, Marco Guevara, Nicolas Ramirez, Arpi Murray, Jeremy L Warner, Hugo J W L Aerts, Timothy A Miller, Guergana K Savova, Raymond H Mak, Danielle S Bitterman
Natural Language Processing to Automatically Extract the Presence and Severity of Esophagitis in Notes of Patients Undergoing Radiotherapy. JCO clinical cancer informatics 7 (2023)
Suraj Pai, Dennis Bontempi, Ibrahim Hadzic, Vasco Prudente, Mateo Sokač, Tafadzwa L Chaunzwa, Simon Bernatz, Ahmed Hosny, Raymond H Mak, Nicolai Juul Birkbak, Hugo J W L Aerts
Foundation Models for Quantitative Biomarker Discovery in Cancer Imaging. medRxiv : the preprint server for health sciences (2023)
Michal Kazmierski, Mattea L Welch, Sejin Kim, Christopher McIntosh, Katrina Rey-McIntyre, Shao Hui Huang, Tirth Patel, Tony Tadic, Michael F Milosevic, Fei-Fei Liu, Adam Ryczkowski, Joanna Kazmierska, Zezhong Ye, Deborah Plana, Hugo J W L Aerts, Benjamin H Kann, Scott V Bratman, Andrew J Hope, Benjamin Haibe-Kains
Multi-institutional Prognostic Modeling in Head and Neck Cancer: Evaluating Impact and Generalizability of Deep Learning and Radiomics. Cancer research communications 3 (6) (2023)
Anna Zapaishchykova, Kevin X Liu, Anurag Saraf, Zezhong Ye, Paul J Catalano, Viviana Benitez, Yashwanth Ravipati, Arnav Jain, Julia Huang, Hasaan Hayat, Jirapat Likitlersuang, Sridhar Vajapeyam, Rishi B Chopra, Ariana M Familiar, Ali Nabavidazeh, Raymond H Mak, Adam C Resnick, Sabine Mueller, Tabitha M Cooney, Daphne A Haas-Kogan, Tina Y Poussaint, Hugo J W L Aerts, Benjamin H Kann
Automated temporalis muscle quantification and growth charts for children through adulthood. Nature communications 14 (1) (2023)
Christopher Abbosh, Alexander M Frankell, Thomas Harrison, Judit Kisistok, Aaron Garnett, Laura Johnson, Selvaraju Veeriah, Mike Moreau, Adrian Chesh, Tafadzwa L Chaunzwa, Jakob Weiss, Morgan R Schroeder, Sophia Ward, Kristiana Grigoriadis, Aamir Shahpurwalla, Kevin Litchfield, Clare Puttick, Dhruva Biswas, Takahiro Karasaki, James R M Black, Carlos Martínez-Ruiz, Maise Al Bakir, Oriol Pich, Thomas B K Watkins, Emilia L Lim, Ariana Huebner, David Allan Moore, Nadia Godin-Heymann, Anne L'Hernault, Hannah Bye, Aaron Odell, Paula Roberts, Fabio Gomes, Akshay J Patel, Elizabeth Manzano, Crispin T Hiley, Nicolas Carey, Joan Riley, Daniel E Cook, Darren Hodgson, Daniel Stetson, J Carl Barrett, Roderik M Kortlever, Gerard I Evan, Allan Hackshaw, Robert D Daber, Jacqueline A Shaw, Hugo J W L Aerts, Abel Licon, Josh Stahl, Mariam Jamal-Hanjani, null null, Nicolai Juul Birkbak, Nicholas McGranahan, Charles Swanton
Tracking early lung cancer metastatic dissemination in TRACERx using ctDNA. Nature (2023)
Jakob Weiss, Vineet K Raghu, Dennis Bontempi, David Chistopher Christiani, Raymond H Mak, Michael T Lu, Hugo J W L Aerts
Deep learning to estimate lung disease mortality from chest radiographs. Nature communications 14 (1) (2023)
Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno Kyrill Bressem
What Does DALL-E 2 Know About Radiology? Journal of medical Internet research 25 (2023)
Lisa C Adams, Felix Busch, Daniel Truhn, Marcus R Makowski, Hugo J W L Aerts, Keno Kyrill Bressem
What Does DALL-E 2 Know About Radiology? Journal of medical Internet research 25 (2023)
Jakob Weiss, Vineet K Raghu, Dennis Bontempi, David Chistopher Christiani, Raymond H Mak, Michael T Lu, Hugo J W L Aerts
Deep learning to estimate lung disease mortality from chest radiographs. Nature communications 14 (1) (2023)
Osbert Zalay, Dennis Bontempi, Danielle S Bitterman, Nicolai Juul Birkbak, Derek Shyr, Fridolin Haugg, Jack M Qian, Hannah J Roberts, Subha Perni, Vasco Prudente, Suraj Pai, Andre Dekker, Benjamin Haibe-Kains, Christian Guthier, Tracy Balboni, Laura Warren, Monica Krishan, Benjamin H Kann, Charles Swanton, Dirk De Ruysscher, Raymond H Mak, Hugo J W L Aerts
Decoding biological age from face photographs using deep learning. medRxiv : the preprint server for health sciences (2023)
Jakob Weiss, Vineet K Raghu, Dennis Bontempi, David Chistopher Christiani, Raymond H Mak, Michael T Lu, Hugo J W L Aerts
Deep learning to estimate lung disease mortality from chest radiographs. Nature communications 14 (1) (2023)
Othman Al-Sawaf, Jakob Weiss, Marcin Skrzypski, Jie Min Lam, Takahiro Karasaki, Francisco Zambrana, Andrew C Kidd, Alexander M Frankell, Thomas B K Watkins, Carlos Martínez-Ruiz, Clare Puttick, James R M Black, Ariana Huebner, Maise Al Bakir, Mateo Sokač, Susie Collins, Selvaraju Veeriah, Neil Magno, Cristina Naceur-Lombardelli, Paulina Prymas, Antonia Toncheva, Sophia Ward, Nick Jayanth, Roberto Salgado, Christopher P Bridge, David Chistopher Christiani, Raymond H Mak, Camden Bay, Michael Rosenthal, Naveed Sattar, Paul I Welsh, Ying Liu, Norbert Perrimon, Karteek Popuri, Mirza Faisal Beg, Nicholas McGranahan, Allan Hackshaw, Danna M Breen, Stephen I O'Rahilly, Nicolai Juul Birkbak, Hugo J W L Aerts, null null, Mariam Jamal-Hanjani, Charles Swanton
Body composition and lung cancer-associated cachexia in TRACERx. Nature medicine (2023)
Elizabeth George, Elizabeth Flagg, Ken Chang, Harrison X Bai, Hugo J W L Aerts, Martin Vallières, David A Reardon, Raymond Y Huang
Radiomics-Based Machine Learning for Outcome Prediction in a Multicenter Phase II Study of Programmed Death-Ligand 1 Inhibition Immunotherapy for Glioblastoma. AJNR. American journal of neuroradiology 43 (5) (2022)
Roman Zeleznik, Jakob Weiss, Jana Taron, Christian Guthier, Danielle S Bitterman, Cindy Hancox, Benjamin H Kann, Daniel W Kim, Rinaa S Punglia, Jeremy Bredfeldt, Borek Foldyna, Parastou Eslami, Michael T Lu, Udo Hoffmann, Raymond H Mak, Hugo J W L Aerts
Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. NPJ digital medicine 4 (1) (2021)
Roman Zeleznik, Borek Foldyna, Parastou Eslami, Jakob Weiss, Ivanov Alexander, Jana Taron, Chintan Parmar, Raza M Alvi, Dahlia Banerji, Mio Uno, Yasuka Kikuchi, Julia Karady, Lili Zhang, Jan-Erik Scholtz, Thomas Mayrhofer, Asya Lyass, Taylor F Mahoney, Joseph M Massaro, Ramachandran S Vasan, Pamela S Douglas, Udo Hoffmann, Michael T Lu, Hugo J W L Aerts
Deep convolutional neural networks to predict cardiovascular risk from computed tomography. Nature communications 12 (1) (2021)
Joost J M van Griethuysen, Doenja M J Lambregts, Stefano Trebeschi, Max J Lahaye, Frans C H Bakers, Roy F A Vliegen, Geerard L O Beets, Hugo J W L Aerts, Regina G H Beets-Tan
Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer. Abdominal radiology (New York) 45 (3) (2021)
Andrew Hope, Maikel Verduin, Thomas J Dilling, Ananya Choudhury, Rianne R R Fijten, Leonard Wee, Hugo J W L Aerts, Issam El Naqa, Ross Mitchell, Marc Vooijs, Andre Dekker, Dirk de Ruysscher, Alberto Traverso
Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers. Cancers 13 (10) (2021)
Paula Bos, Michiel W M van den Brekel, Zeno A R Gouw, Abrahim Al-Mamgani, Selam Waktola, Hugo J W L Aerts, Regina G H Beets-Tan, Jonas A Castelijns, Bas Jasperse
Clinical variables and magnetic resonance imaging-based radiomics predict human papillomavirus status of oropharyngeal cancer. Head & neck 43 (2) (2020)
Alexander Zwanenburg, Martin Vallières, Mahmoud A Abdalah, Hugo J W L Aerts, Vincent Andrearczyk, Aditya P Apte, Saeed Ashrafinia, Spyridon Bakas, Roelof J Beukinga, Ronald Boellaard, Marta Bogowicz, Luca Boldrini, Irène Buvat, Gary J R Cook, Christos Davatzikos, Adrien Depeursinge, Marie-Charlotte Desseroit, Nicola Dinapoli, Cuong Viet Dinh, Sebastian Echegaray, Issam El Naqa, Andriy Y Fedorov, Roberto Gatta, Robert James Gillies, Vicky J Goh, Michael Götz, Matthias Guckenberger, Sung Min Ha, Mathieu Hatt, Fabian Isensee, Philippe Lambin, Stefan Leger, Ralph T H Leijenaar, Jacopo Lenkowicz, Fiona Lippert, Are Losnegård, Klaus H Maier-Hein, Olivier Morin, Henning Muller, Sandy Napel, Christophe Nioche, Fanny Orlhac, Sarthak Pati, Elisabeth A G Pfaehler, Xinchi Hou, Arvind U K Rao, Jonas Scherer, Muhammad Musib Siddique, Nanna M Sijtsema, Jairo Socarras Fernandez, Emiliano Spezi, Roel J H M Steenbakkers, Stephanie Tanadini-Lang, Daniela Thorwarth, Esther G C Troost, Taman Upadhaya, Vincenzo Valentini, Lisanne V van Dijk, Joost J M van Griethuysen, Floris H P van Velden, Philip Whybra, Christian Richter, Steffen Loeck
The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 295 (2) (2020)
Parastou Eslami, Chintan Parmar, Foldyna Borek, Jan-Erik Scholtz, Alexander Ivanov, Roman Zeleznik, Michael T Lu, Maros Ferencik, Ramachandran S Vasan, Kristin Baltrusaitis, Joseph M Massaro, Ralph B D'Agostino, Thomas Mayrhofer, Christopher J O'Donnell, Hugo J W L Aerts, Udo Hoffmann
Radiomics of Coronary Artery Calcium in the Framingham Heart Study. Radiology. Cardiothoracic imaging 2 (1) (2020)
Michael T Lu, Vineet K Raghu, Thomas Mayrhofer, Hugo J W L Aerts, Udo Hoffmann
Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Annals of internal medicine 173 (9) (2020)
Elizabeth Huynh, Ahmed Hosny, Christian Guthier, Danielle S Bitterman, Steven F Petit, Daphne A Haas-Kogan, Benjamin Kann, Hugo J W L Aerts, Raymond H Mak
Artificial intelligence in radiation oncology. Nature reviews. Clinical oncology 17 (12) (2020)
Ahmed Hosny, Chintan Parmar, John Quackenbush, Lawrence H Schwartz, Hugo J W L Aerts
Artificial intelligence in radiology. Nature reviews. Cancer 18 (8) (2019)
Marton Kolossvary, Júlia Karády, Yasuka Kikuchi, Alexander Ivanov, Christopher L Schlett, Michael T Lu, Foldyna Borek, Béla Merkely, Hugo J W L Aerts, Udo Hoffmann, Pál Maurovich Horvat
Radiomics versus Visual and Histogram-based Assessment to Identify Atheromatous Lesions at Coronary CT Angiography: An ex Vivo Study. Radiology 293 (1) (2019)
Michael Schwier, Joost J M van Griethuysen, Mark G Vangel, Steve Pieper, Sharon Peled, Clare Tempany, Hugo J W L Aerts, Ron Kikinis, Fiona M Fennessy, Andriy Y Fedorov
Repeatability of Multiparametric Prostate MRI Radiomics Features. Scientific reports 9 (1) (2019)
Wenya Linda Bi, Ahmed Hosny, Matthew B Schabath, Maryellen L Giger, Nicolai J Birkbak, Alireza Mehrtash, Tavis Allison, Omar Arnaout, Christopher Abbosh, Ian F Dunn, Raymond H Mak, Rulla M Tamimi, Clare M Tempany, Charles Swanton, Udo Hoffmann, Lawrence H Schwartz, Robert J Gillies, Raymond Y Huang, Hugo J W L Aerts
Artificial intelligence in cancer imaging: Clinical challenges and applications. CA: a cancer journal for clinicians 69 (2) (2019)
Ahmed Hosny, Chintan Parmar, Thibaud P Coroller, Patrick Grossmann, Roman Zeleznik, Avnish Kumar, Johan Bussink, Robert James Gillies, Raymond H Mak, Hugo J W L Aerts
Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study. PLoS medicine 15 (11) (2018)
Stefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, Max J Lahaye, Chintan Parmar, Frans C H Bakers, Nicky H G M Peters, Regina G H Beets-Tan, Hugo J W L Aerts
Author Correction: Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR. Scientific reports 8 (1) (2018)
Martin Vallières, Emily Kay-Rivest, Léo Jean Perrin, Xavier Liem, Christophe Furstoss, Hugo J W L Aerts, Nader Khaouam, Phuc Felix Nguyen-Tan, Chang-Shu Wang, Khalil Sultanem, Jan Seuntjens, Issam El Naqa
Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. Scientific reports 7 (1) (2017)
Patrick Grossmann, Olya Stringfield, Nehme El-Hachem, Marilyn M Bui, Emmanuel Rios Velazquez, Chintan Parmar, Ralph Th Leijenaar, Benjamin Haibe-Kains, Philippe Lambin, Robert James Gillies, Hugo J W L Aerts
Defining the biological basis of radiomic phenotypes in lung cancer. eLife 6 (2017)
Stephen S F Yip, Ying Liu, Chintan Parmar, Qian Li, Shichang Liu, Fangyuan Qu, Zhaoxiang Ye, Robert James Gillies, Hugo J W L Aerts
Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer. Scientific reports 7 (1) (2017)
Stefano Trebeschi, Joost J M van Griethuysen, Doenja M J Lambregts, Max J Lahaye, Chintan Parmar, Frans C H Bakers, Nicky H G M Peters, Regina G H Beets-Tan, Hugo J W L Aerts
Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR. Scientific reports 7 (1) (2017)

Hugo J W L Aerts.css-eqlu8i{font-size:small;padding-left:4px;} (Hugo Jwl Aerts, H J Aerts, Hugo J Aerts)

Publication Activity (10 Years)

Top Topics

Top Venues

Hugo J W L Aerts (Hugo Jwl Aerts, H J Aerts, Hugo J Aerts)