| NCI imaging data commons A Fedorov, WJR Longabaugh, D Pot, DA Clunie, S Pieper, HJWL Aerts, ... Cancer research 81 (16), 4188-4193, 2021 | 53 | 2021 |
| CEREBRUM: a fast and fully-volumetric Convolutional Encoder-decodeR for weakly-supervised sEgmentation of BRain strUctures from out-of-the-scanner MRI D Bontempi, S Benini, A Signoroni, M Svanera, L Muckli Medical image analysis 62, 101688, 2020 | 35 | 2020 |
| Screening for extranodal extension in HPV-associated oropharyngeal carcinoma: evaluation of a CT-based deep learning algorithm in patient data from a multicentre, randomised de … BH Kann, J Likitlersuang, D Bontempi, Z Ye, S Aneja, R Bakst, HR Kelly, ... The Lancet Digital Health 5 (6), e360-e369, 2023 | 23 | 2023 |
| CEREBRUM‐7T: fast and fully volumetric brain segmentation of 7 Tesla MR volumes M Svanera, S Benini, D Bontempi, L Muckli Human brain mapping 42 (17), 5563-5580, 2021 | 22 | 2021 |
| Foundation model for cancer imaging biomarkers S Pai, D Bontempi, I Hadzic, V Prudente, M Sokač, TL Chaunzwa, ... Nature machine intelligence 6 (3), 354-367, 2024 | 16* | 2024 |
| Deep learning to estimate lung disease mortality from chest radiographs J Weiss*, VK Raghu*, D Bontempi, DC Christiani, RH Mak, MT Lu, ... Nature Communications 14 (1), 2797, 2023 | 13 | 2023 |
| Computed tomography-based radiomics for the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer patients treated with immune checkpoint inhibitors F Tohidinezhad, D Bontempi, Z Zhang, AM Dingemans, J Aerts, ... European Journal of Cancer 183, 142-151, 2023 | 12* | 2023 |
| National cancer institute imaging data commons: toward transparency, reproducibility, and scalability in imaging artificial intelligence A Fedorov, WJR Longabaugh, D Pot, DA Clunie, SD Pieper, DL Gibbs, ... Radiographics 43 (12), e230180, 2023 | 11 | 2023 |
| Oropharyngeal tumour segmentation using ensemble 3D PET-CT fusion networks for the HECKTOR challenge C Rao, S Pai, I Hadzic, I Zhovannik, D Bontempi, A Dekker, J Teuwen, ... Head and Neck Tumor Segmentation: First Challenge, HECKTOR 2020, Held in …, 2021 | 7 | 2021 |
| End-to-end reproducible AI pipelines in radiology using the cloud D Bontempi, L Nuernberg, S Pai, D Krishnaswamy, V Thiriveedhi, ... Nature Communications 15 (1), 6931, 2024 | 3* | 2024 |
| Enrichment of lung cancer computed tomography collections with AI-derived annotations D Krishnaswamy, D Bontempi, VK Thiriveedhi, D Punzo, D Clunie, ... Scientific data 11 (1), 25, 2024 | 3* | 2024 |
| Prospective deployment of an automated implementation solution for artificial intelligence translation to clinical radiation oncology CE Kehayias, Y Yan, D Bontempi, S Quirk, DS Bitterman, JS Bredfeldt, ... Frontiers in Oncology 13, 1305511, 2024 | 3 | 2024 |
| Segmentation uncertainty estimation as a sanity check for image biomarker studies I Zhovannik, D Bontempi, A Romita, E Pfaehler, S Primakov, A Dekker, ... Cancers 14 (5), 1288, 2022 | 2 | 2022 |
| Facial-width-to-height ratio (fWHR) measured from 2D images using a fully automated method and a manual-landmark-placement method produce very similar results C Schild, D Bontempi, BC Jones PsyArXiv, 2019 | 2 | 2019 |
| Deep learning-based automated quality assurance for palliative spinal treatment planning in radiotherapy CE Kehayias, D Bontempi, S Quirk, S Friesen, JS Bredfeldt, MA Huynh, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), S50, 2023 | 1 | 2023 |
| Decoding biological age from face photographs using deep learning O Zalay*, D Bontempi*, DS Bitterman, N Birkbak, D Shyr, F Haugg, ... medRxiv, 2023 | 1 | 2023 |
| Deep learning segmentation of heart substructures in radiotherapy treatment planning L Nürnberg, D Bontempi, D De Ruysscher, A Dekker, E Hortal, R Canters, ... Physica Medica: European journal of medical physics 104 (Supplement 1), S76, 2022 | 1 | 2022 |
| Deep Learning Based Estimation of Facial Age for Prognostication in Patients with Early-Stage Non-Small Cell Lung Cancer Undergoing Definitive Stereotactic Body Radiotherapy G Lee, F Haugg, D Bontempi, J He, DS Bitterman, S Pai, CV Guthier, ... International Journal of Radiation Oncology, Biology, Physics 120 (2), e36-e37, 2024 | | 2024 |
| Deep Learning Based Facial Age Phenotyping in a Large-Scale, Real-World Cancer Patient Population G Lee, F Haugg, D Bontempi, J He, O Zalay, DS Bitterman, PJ Catalano, ... International Journal of Radiation Oncology, Biology, Physics 120 (2), S170, 2024 | | 2024 |
| Applying Deep Learning Based Facial Age Phenotyping to Improve Life Expectancy Prediction in Metastatic Cancer Patients Receiving Palliative Radiotherapy G Lee, F Haugg, D Bontempi, DS Bitterman, S Pai, CV Guthier, YH Chen, ... International Journal of Radiation Oncology, Biology, Physics 120 (2), S27-S28, 2024 | | 2024 |
Hugo AertsDirector AI in Medicine (AIM) @ Harvard-MGB | Professor @ MaastrichtUAdresă de e-mail confirmată pe dfci.harvard.edu
