| Head and neck tumor segmentation in PET/CT: the HECKTOR challenge V Oreiller, V Andrearczyk, M Jreige, S Boughdad, H Elhalawani, J Castelli, ... Medical image analysis 77, 102336, 2022 | 213 | 2022 |
| 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 | 55* | 2024 |
| Artificial intelligence in radiation therapy Y Fu, H Zhang, ED Morris, CK Glide-Hurst, S Pai, A Traverso, L Wee, ... IEEE transactions on radiation and plasma medical sciences 6 (2), 158-181, 2021 | 50 | 2021 |
| Automated 3D sign language caption generation for video N Mehta, S Pai, S Singh Universal Access in the Information Society 19 (4), 725-738, 2020 | 33 | 2020 |
| Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report EMC Huijben, ML Terpstra, S Pai, A Thummerer, P Koopmans, M Afonso, ... Medical image analysis 97, 103276, 2024 | 14 | 2024 |
| Radiomics integration into a picture archiving and communication system I Zhovannik, S Pai, TA da Silva Santos, LLG van Driel, A Dekker, R Fijten, ... Physics and Imaging in Radiation Oncology 20, 30-33, 2021 | 10 | 2021 |
| SynthRAD2023 challenge design: Synthesizing computed tomography for radiotherapy A Thummerer, E Huijben, M Terpstra, OJ Gurney-Champion, MV Afonso, ... University Medical Center Utrecht (UMCU), 2023 | 8 | 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 | 2 | 2024 |
| Frequency-domain-based structure losses for cyclegan-based cone-beam computed tomography translation S Pai, I Hadzic, C Rao, I Zhovannik, A Dekker, A Traverso, S Asteriadis, ... Sensors 23 (3), 1089, 2023 | 2 | 2023 |
| Optimizing CycleGAN design for CBCT-to-CT translation: insights into 2D vs 3D modeling, patch size, and the need for tailored evaluation metrics I Hadzic, S Pai, VT Taasti, D Bontempi, I Zhovannik, R Canters, JJ Sonke, ... Medical Imaging 2024: Image Processing 12926, 43-73, 2024 | 1 | 2024 |
| Vision Foundation Models for Computed Tomography S Pai, I Hadzic, D Bontempi, K Bressem, BH Kann, A Fedorov, RH Mak, ... arXiv preprint arXiv:2501.09001, 2025 | | 2025 |
| 459: Generating synthetic computed tomography for radiotherapy: SynthRAD2023 challenge report E Huiben, M Terpstra, S Pai, A Thummerer, P Koopmans, M Afonso, ... Radiotherapy and Oncology 194, S3762-S3766, 2024 | | 2024 |
| Clinical Application of Synthetic CTs for Proton Therapy of Lung Cancer Patients V Taasti, D Hattu, I Hadzic, S Pai, M Gooding, J Sage, D De Ruysscher, ... MEDICAL PHYSICS 49 (6), E325-E325, 2022 | | 2022 |
| Delineation bias in hand-crafted radiomic features A Romita, I Zhovannik, S Pai, A Dekker, E Pfaehler, R Monshouwer, ... Physica Medica: European Journal of Medical Physics 92, S137, 2021 | | 2021 |
| Efficient Fine-Tuning of CNN-based Foundation Models for Segmentation in 3D Medical Images M Hudepohl, S Pai, H Kaya, H Aerts NeurIPS 2024 Workshop on Fine-Tuning in Modern Machine Learning: Principles …, 0 | | |
Ibrahim HadzicMass General Hospital, Harvard Medical SchoolE-mail megerősítve itt: mgh.harvard.edu