Hugo Aerts, PhD
Dana-Farber Cancer Institute
Dana-Farber Cancer Institute
Hugo Aerts, PhD
Dana-Farber Cancer Institute
EDUCATIONAL TITLES
DF/HCC PROGRAM AFFILIATION
Publications from Harvard Catalyst Profiles
- Tunali I, Tan Y, Gray JE, Katsoulakis E, Eschrich SA, Saller J, Aerts HJWL, Boyle T, Qi J, Guvenis A, Gillies RJ, Schabath MB. Hypoxia-Related Radiomics and Immunotherapy Response: A Multicohort Study of Non-Small Cell Lung Cancer. JNCI Cancer Spectr 2021; 5:pkab048. PubMed
- Fedorov A, Longabaugh WJR, Pot D, Clunie DA, Pieper S, Aerts HJWL, Homeyer A, Lewis R, Akbarzadeh A, Bontempi D, Clifford W, Herrmann MD, Höfener H, Octaviano I, Osborne C, Paquette S, Petts J, Punzo D, Reyes M, Schacherer DP, Tian M, White G, Ziegler E, Shmulevich I, Pihl T, Wagner U, Farahani K, Kikinis R. NCI Imaging Data Commons. Cancer Res 2021. PubMed
- Nobel JM, Puts S, Weiss J, Aerts HJWL, Mak RH, Robben SGF, Dekker ALAJ. T-staging pulmonary oncology from radiological reports using natural language processing: translating into a multi-language setting. Insights Imaging 2021; 12:77. PubMed
- Bos P, van den Brekel MWM, Gouw ZAR, Al-Mamgani A, Taghavi M, Waktola S, Aerts HJWL, Castelijns JA, Beets-Tan RGH, Jasperse B. Improved outcome prediction of oropharyngeal cancer by combining clinical and MRI features in machine learning models. Eur J Radiol 2021; 139:109701. PubMed
- Hope A, Verduin M, Dilling TJ, Choudhury A, Fijten R, Wee L, Aerts HJ, El Naqa I, Mitchell R, Vooijs M, Dekker A, de Ruysscher D, Traverso A. Artificial Intelligence Applications to Improve the Treatment of Locally Advanced Non-Small Cell Lung Cancers. Cancers (Basel) 2021. PubMed
- Kann BH, Hosny A, Aerts HJWL. Artificial intelligence for clinical oncology. Cancer Cell 2021. PubMed
- Atkins KM, Bitterman DS, Chaunzwa TL, Kozono DE, Baldini EH, Aerts HJWL, Tamarappoo BK, Hoffmann U, Nohria A, Mak RH. Mean Heart Dose Is an Inadequate Surrogate for Left Anterior Descending Coronary Artery Dose and the Risk of Major Adverse Cardiac Events in Lung Cancer Radiation Therapy. Int J Radiat Oncol Biol Phys 2021. PubMed
- Chaunzwa TL, Hosny A, Xu Y, Shafer A, Diao N, Lanuti M, Christiani DC, Mak RH, Aerts HJWL. Deep learning classification of lung cancer histology using CT images. Sci Rep 2021; 11:5471. PubMed
- Zeleznik R, Weiss J, Taron J, Guthier C, Bitterman DS, Hancox C, Kann BH, Kim DW, Punglia RS, Bredfeldt J, Foldyna B, Eslami P, Lu MT, Hoffmann U, Mak R, Aerts HJWL. Deep-learning system to improve the quality and efficiency of volumetric heart segmentation for breast cancer. NPJ Digit Med 2021; 4:43. PubMed
- Atkins KM, Chaunzwa TL, Lamba N, Bitterman DS, Rawal B, Bredfeldt J, Williams CL, Kozono DE, Baldini EH, Nohria A, Hoffmann U, Aerts HJWL, Mak RH. Association of Left Anterior Descending Coronary Artery Radiation Dose With Major Adverse Cardiac Events and Mortality in Patients With Non-Small Cell Lung Cancer. JAMA Oncol 2021; 7:206-219. PubMed
- Bos P, van den Brekel MWM, Gouw ZAR, Al-Mamgani A, Waktola S, Aerts HJWL, Beets-Tan RGH, Castelijns JA, Jasperse B. Clinical variables and magnetic resonance imaging-based radiomics predict human papillomavirus status of oropharyngeal cancer. Head Neck 2021; 43:485-495. PubMed
- Atkins KM, Bitterman DS, Chaunzwa TL, Williams CL, Rahman R, Kozono DE, Baldini EH, Aerts HJWL, Tamarappoo BK, Hoffmann U, Nohria A, Mak RH. Statin Use, Heart Radiation Dose, and Survival in Locally Advanced Lung Cancer. 2021. PubMed
- Trebeschi S, Bodalal Z, van Dijk N, Boellaard TN, Apfaltrer P, Tareco Bucho TM, Nguyen-Kim TDL, van der Heijden MS, Aerts HJWL, Beets-Tan RGH. Development of a Prognostic AI-Monitor for Metastatic Urothelial Cancer Patients Receiving Immunotherapy. 2021; 11:637804. PubMed
- Trebeschi S, Bodalal Z, Boellaard TN, Tareco Bucho TM, Drago SG, Kurilova I, Calin-Vainak AM, Delli Pizzi A, Muller M, Hummelink K, Hartemink KJ, Nguyen-Kim TDL, Smit EF, Aerts HJWL, Beets-Tan RGH. Prognostic Value of Deep Learning-Mediated Treatment Monitoring in Lung Cancer Patients Receiving Immunotherapy. 2021; 11:609054. PubMed
- Haibe-Kains B, Adam GA, Hosny A, Khodakarami F, , Waldron L, Wang B, McIntosh C, Goldenberg A, Kundaje A, Greene CS, Broderick T, Hoffman MM, Leek JT, Korthauer K, Huber W, Brazma A, Pineau J, Tibshirani R, Hastie T, Ioannidis JPA, Quackenbush J, Aerts HJWL. Transparency and reproducibility in artificial intelligence. Nature 2020; 586:E14-E16. PubMed
- Lu MT, Raghu VK, Mayrhofer T, Aerts HJWL, Hoffmann U. Deep Learning Using Chest Radiographs to Identify High-Risk Smokers for Lung Cancer Screening Computed Tomography: Development and Validation of a Prediction Model. Ann Intern Med 2020. PubMed
- Huynh E, Hosny A, Guthier C, Bitterman DS, Petit SF, Haas-Kogan DA, Kann B, Aerts HJWL, Mak RH. Artificial intelligence in radiation oncology. Nat Rev Clin Oncol 2020. PubMed
- Fedorov A, Hancock M, Clunie D, Brochhausen M, Bona J, Kirby J, Freymann J, Pieper S, J W L Aerts H, Kikinis R, Prior F. DICOM re-encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules. Med Phys 2020. PubMed
- Kalendralis P, Shi Z, Traverso A, Choudhury A, Sloep M, Zhovannik I, Starmans MPA, Grittner D, Feltens P, Monshouwer R, Klein S, Fijten R, Aerts H, Dekker A, van Soest J, Wee L. FAIR-compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head-Neck1 TCIA collections. Med Phys 2020. PubMed
- Zwanenburg A, Vallières M, Abdalah MA, Aerts HJWL, Andrearczyk V, Apte A, Ashrafinia S, Bakas S, Beukinga RJ, Boellaard R, Bogowicz M, Boldrini L, Buvat I, Cook GJR, Davatzikos C, Depeursinge A, Desseroit MC, Dinapoli N, Dinh CV, Echegaray S, El Naqa I, Fedorov AY, Gatta R, Gillies RJ, Goh V, Götz M, Guckenberger M, Ha SM, Hatt M, Isensee F, Lambin P, Leger S, Leijenaar RTH, Lenkowicz J, Lippert F, Losnegård A, Maier-Hein KH, Morin O, Müller H, Napel S, Nioche C, Orlhac F, Pati S, Pfaehler EAG, Rahmim A, Rao AUK, Scherer J, Siddique MM, Sijtsema NM, Socarras Fernandez J, Spezi E, Steenbakkers RJHM, Tanadini-Lang S, Thorwarth D, Troost EGC, Upadhaya T, Valentini V, van Dijk LV, van Griethuysen J, van Velden FHP, Whybra P, Richter C, Löck S. The Image Biomarker Standardization Initiative: Standardized Quantitative Radiomics for High-Throughput Image-based Phenotyping. Radiology 2020. PubMed
- Kann BH, Johnson SB, Aerts HJWL, Mak RH, Nguyen PL. Changes in Length and Complexity of Clinical Practice Guidelines in Oncology, 1996-2019. JAMA Netw Open 2020; 3:e200841. PubMed
- Kamran SC, Coroller T, Milani N, Agrawal V, Baldini EH, Chen AB, Johnson BE, Kozono D, Franco I, Chopra N, Zeleznik R, Aerts HJWL, Mak R. The impact of quantitative CT-based tumor volumetric features on the outcomes of patients with limited stage small cell lung cancer. Radiat Oncol 2020; 15:14. PubMed
- Bitterman DS, Aerts HJWL, Mak RH. Approaching autonomy in medical artificial intelligence. Lancet Digit Health 2020; 2:e447-e449. PubMed
- van Griethuysen JJM, Lambregts DMJ, Trebeschi S, Lahaye MJ, Bakers FCH, Vliegen RFA, Beets GL, Aerts HJWL, Beets-Tan RGH. Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer. Abdom Radiol (NY) 2019. PubMed
- Schwier M, van Griethuysen J, Vangel MG, Pieper S, Peled S, Tempany C, Aerts HJWL, Kikinis R, Fennessy FM, Fedorov A. Repeatability of Multiparametric Prostate MRI Radiomics Features. Sci Rep 2019; 9:9441. PubMed
- Atkins KM, Rawal B, Chaunzwa TL, Lamba N, Bitterman DS, Williams CL, Kozono DE, Baldini EH, Chen AB, Nguyen PL, D'Amico AV, Nohria A, Hoffmann U, Aerts HJWL, Mak RH. Cardiac Radiation Dose, Cardiac Disease, and Mortality in Patients With Lung Cancer. J Am Coll Cardiol 2019; 73:2976-2987. PubMed
- Xu Y, Hosny A, Zeleznik R, Parmar C, Coroller T, Franco I, Mak RH, Aerts HJWL. Deep Learning Predicts Lung Cancer Treatment Response from Serial Medical Imaging. Clin Cancer Res 2019; 25:3266-3275. PubMed
- Campbell PT, Ambrosone CB, Nishihara R, Aerts HJWL, Bondy M, Chatterjee N, Garcia-Closas M, Giannakis M, Golden JA, Heng YJ, Kip NS, Koshiol J, Liu XS, Lopes-Ramos CM, Mucci LA, Nowak JA, Phipps AI, Quackenbush J, Schoen RE, Sholl LM, Tamimi RM, Wang M, Weijenberg MP, Wu CJ, Wu K, Yao S, Yu KH, Zhang X, Rebbeck TR, Ogino S. Proceedings of the fourth international molecular pathological epidemiology (MPE) meeting. Cancer Causes Control 2019. PubMed
- Mak RH, Endres MG, Paik JH, Sergeev RA, Aerts H, Williams CL, Lakhani KR, Guinan EC. Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting. JAMA Oncol 2019. PubMed
- Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM, Tempany CM, Swanton C, Hoffmann U, Schwartz LH, Gillies RJ, Huang RY, Aerts HJWL. Artificial intelligence in cancer imaging: Clinical challenges and applications. CA Cancer J Clin 2019; 69:127-157. PubMed
- Shi Z, Zhovannik I, Traverso A, Dankers FJWM, Deist TM, Kalendralis P, Monshouwer R, Bussink J, Fijten R, Aerts HJWL, Dekker A, Wee L. Distributed radiomics as a signature validation study using the Personal Health Train infrastructure. Sci Data 2019; 6:218. PubMed
- Ger RB, Zhou S, Elgohari B, Elhalawani H, Mackin DM, Meier JG, Nguyen CM, Anderson BM, Gay C, Ning J, Fuller CD, Li H, Howell RM, Layman RR, Mawlawi O, Stafford RJ, Aerts H, Court LE. Radiomics features of the primary tumor fail to improve prediction of overall survival in large cohorts of CT- and PET-imaged head and neck cancer patients. PLoS ONE 2019; 14:e0222509. PubMed
- Napel S, Mu W, Jardim-Perassi BV, Aerts HJWL, Gillies RJ. Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats. Cancer 2018; 124:4633-4649. PubMed
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial Intelligence in Radiation Oncology Imaging. Int J Radiat Oncol Biol Phys 2018; 102:1159-1161. PubMed
- El Naqa I, Pandey G, Aerts H, Chien JT, Andreassen CN, Niemierko A, Ten Haken RK. Radiation Therapy Outcomes Models in the Era of Radiomics and Radiogenomics: Uncertainties and Validation. Int J Radiat Oncol Biol Phys 2018; 102:1070-1073. PubMed
- Welch ML, McIntosh C, Haibe-Kains B, Milosevic MF, Wee L, Dekker A, Huang SH, Purdie TG, O'Sullivan B, Aerts HJWL, Jaffray DA. Vulnerabilities of radiomic signature development: The need for safeguards. Radiother Oncol 2018. PubMed
- Hosny A, Parmar C, Coroller TP, Grossmann P, Zeleznik R, Kumar A, Bussink J, Gillies RJ, Mak RH, Aerts HJWL. Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study. PLoS Med. 2018; 15:e1002711. PubMed
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. The Future of Artificial Intelligence in Radiation Oncology. Int J Radiat Oncol Biol Phys 2018; 102:247-248. PubMed
- Blumenthal GM, Bunn PA, Chaft JE, McCoach CE, Perez EA, Scagliotti GV, Carbone DP, Aerts HJWL, Aisner DL, Bergh J, Berry DA, Jarkowski A, Botwood N, Cross DAE, Diehn M, Drezner NL, Doebele RC, Blakely CM, Eberhardt WEE, Felip E, Gianni L, Keller SP, Leavey PJ, Malik S, Pignatti F, Prowell TM, Redman MW, Rizvi NA, Rosell R, Rusch V, de Ruysscher D, Schwartz LH, Sridhara R, Stahel RA, Swisher S, Taube JMM, Travis WD, Keegan P, Wiens JR, Wistuba II, Wynes MW, Hirsch FR, Kris MG. Current Status and Future Perspectives on Neoadjuvant Therapy in Lung Cancer. J Thorac Oncol 2018. PubMed
- Barry JD, Fagny M, Paulson JN, Aerts HJWL, Platig J, Quackenbush J. Histopathological Image QTL Discovery of Immune Infiltration Variants. iScience 2018; 5:80-89. PubMed
- Thompson RF, Valdes G, Fuller CD, Carpenter CM, Morin O, Aneja S, Lindsay WD, Aerts HJWL, Agrimson B, Deville C, Rosenthal SA, Yu JB, Thomas CR. Artificial intelligence in radiation oncology: A specialty-wide disruptive transformation? Radiother Oncol 2018. PubMed
- Hosny A, Parmar C, Quackenbush J, Schwartz LH, Aerts HJWL. Artificial intelligence in radiology. Nat Rev Cancer 2018. PubMed
- Parmar C, Barry JD, Hosny A, Quackenbush J, Aerts HJ. Data Analysis Strategies in Medical Imaging. Clin Cancer Res 2018. PubMed
- Balagurunathan Y, Beers A, Kalpathy-Cramer J, McNitt-Gray M, Hadjiiski L, Zhao B, Zhu J, Yang H, Yip SSF, Aerts HJWL, Napel S, Cherezov D, Cha K, Chan HP, Flores C, Garcia A, Gillies R, Goldgof D. Semi-automated pulmonary nodule interval segmentation using the NLST data. Med Phys 2018; 45:1093-1107. PubMed
- Kwan JYY, Su J, Huang SH, Ghoraie LS, Xu W, Chan B, Yip KW, Giuliani M, Bayley A, Kim J, Hope AJ, Ringash J, Cho J, McNiven A, Hansen A, Goldstein D, de Almeida JR, Aerts HJ, Waldron JN, Haibe-Kains B, O'Sullivan B, Bratman SV, Liu FF. Radiomic Biomarkers to Refine Risk Models for Distant Metastasis in HPV-related Oropharyngeal Carcinoma. Int J Radiat Oncol Biol Phys 2018. PubMed
- Dou TH, Coroller TP, van Griethuysen JJM, Mak RH, Aerts HJWL. Peritumoral radiomics features predict distant metastasis in locally advanced NSCLC. PLoS ONE 2018; 13:e0206108. PubMed
- Yip SSF, Parmar C, Kim J, Huynh E, Mak RH, Aerts HJWL. Impact of experimental design on PET radiomics in predicting somatic mutation status. Eur J Radiol 2017; 97:8-15. PubMed
- Aerts HJWL. Data Science in Radiology: A Path Forward. Clin Cancer Res 2017. PubMed
- van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts HJWL. Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Res 2017; 77:e104-e107. PubMed
- Vallières M, Kay-Rivest E, Perrin LJ, Liem X, Furstoss C, Aerts HJWL, Khaouam N, Nguyen-Tan PF, Wang CS, Sultanem K, Seuntjens J, El Naqa I. Radiomics strategies for risk assessment of tumour failure in head-and-neck cancer. Sci Rep 2017; 7:10117. PubMed
- Grossmann P, Stringfield O, El-Hachem N, Bui MM, Rios Velazquez E, Parmar C, Leijenaar RT, Haibe-Kains B, Lambin P, Gillies RJ, Aerts HJ. Defining the biological basis of radiomic phenotypes in lung cancer. Elife 2017. PubMed
- Trebeschi S, van Griethuysen JJM, Lambregts DMJ, Lahaye MJ, Parmer C, Bakers FCH, Peters NHGM, Beets-Tan RGH, Aerts HJWL. Deep Learning for Fully-Automated Localization and Segmentation of Rectal Cancer on Multiparametric MR. Sci Rep 2017; 7:5301. PubMed
- Yip SSF, Liu Y, Parmar C, Li Q, Liu S, Qu F, Ye Z, Gillies RJ, Aerts HJWL. Associations between radiologist-defined semantic and automatically computed radiomic features in non-small cell lung cancer. Sci Rep 2017; 7:3519. PubMed
- van Loon J, Even AJG, Aerts HJWL, Öllers M, Hoebers F, van Elmpt W, Dubois L, Dingemans AC, Lalisang RI, Kempers P, Brans B, Winnepenninckx V, Speel EJ, Thunnissen E, Smits KM, Boellaard R, Vugts DJ, De Ruysscher D, Lambin P. PET imaging of zirconium-89 labelled cetuximab: A phase I trial in patients with head and neck and lung cancer. Radiother Oncol 2017; 122:267-273. PubMed
- Coroller TP, Bi WL, Huynh E, Abedalthagafi M, Aizer AA, Greenwald NF, Parmar C, Narayan V, Wu WW, Miranda de Moura S, Gupta S, Beroukhim R, Wen PY, Al-Mefty O, Dunn IF, Santagata S, Alexander BM, Huang RY, Aerts HJWL. Radiographic prediction of meningioma grade by semantic and radiomic features. PLoS ONE 2017; 12:e0187908. PubMed
- O'Connor JP, Aboagye EO, Adams JE, Aerts HJ, Barrington SF, Beer AJ, Boellaard R, Bohndiek SE, Brady M, Brown G, Buckley DL, Chenevert TL, Clarke LP, Collette S, Cook GJ, deSouza NM, Dickson JC, Dive C, Evelhoch JL, Faivre-Finn C, Gallagher FA, Gilbert FJ, Gillies RJ, Goh V, Griffiths JR, Groves AM, Halligan S, Harris AL, Hawkes DJ, Hoekstra OS, Huang EP, Hutton BF, Jackson EF, Jayson GC, Jones A, Koh DM, Lacombe D, Lambin P, Lassau N, Leach MO, Lee TY, Leen EL, Lewis JS, Liu Y, Lythgoe MF, Manoharan P, Maxwell RJ, Miles KA, Morgan B, Morris S, Ng T, Padhani AR, Parker GJ, Partridge M, Pathak AP, Peet AC, Punwani S, Reynolds AR, Robinson SP, Shankar LK, Sharma RA, Soloviev D, Stroobants S, Sullivan DC, Taylor SA, Tofts PS, Tozer GM, van Herk M, Walker-Samuel S, Wason J, Williams KJ, Workman P, Yankeelov TE, Brindle KM, McShane LM, Jackson A, Waterton JC. Imaging biomarker roadmap for cancer studies. Nat Rev Clin Oncol 2017; 14:169-186. PubMed
- Shaikh FA, Kolowitz BJ, Awan O, Aerts HJ, von Reden A, Halabi S, Mohiuddin SA, Malik S, Shrestha RB, Deible C. Technical Challenges in the Clinical Application of Radiomics. JCO Clin Cancer Inform 2017; 1:1-8. PubMed
- Yip SSF, Parmar C, Blezek D, Estepar RSJ, Pieper S, Kim J, Aerts HJWL. Application of the 3D slicer chest imaging platform segmentation algorithm for large lung nodule delineation. PLoS ONE 2017; 12:e0178944. PubMed