1. 26. Radiomics in PET/CT: State-of-the-art and future developments. (December 2017) Authors: Hatt, M. Journal: Physica medica Issue: Volume 44(2017)Supplement 1 Page Start: 12 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. EP-1476 Validation of a combined PET and MRI radiomics model for prediction of recurrence in cervical cancer. (April 2019) Authors: Lucia, F.; Visvikis, D.; Vallières, M.; Desseroit, M.; Miranda, O.; Robin, P.; Bonaffini, P.A.; Alfieri, J.; Masson, I.; Mervoyer, A.; Reinhold, C.; Pradier, O.; Hatt, M.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 133(2019)Supplement 1 Page Start: S800 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. EP-1892 Predictive Response To Radiotherapy Of Head And Neck Cancer Using Radiomics Analyses Of Cbct. (April 2019) Authors: Sellami, S.; Bouzid, D.; Hatt, M.; Visvikis, D.; Lucia, F.; Pradier, O.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 133(2019)Supplement 1 Page Start: S1028 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. EP-1936 PET/CT Radiomics predict local recurrence in patients treated with SBRT for early-stage NSCLC. (April 2019) Authors: Dissaux, G.; Hatt, M.; Visvikis, D.; Pradier, O.; Chajon, E.; Barillot, I.; Duverge, L.; Masson, I.; Abgral, R.; Santiago-Ribeiro, M.; Devillers, A.; Kraeber-Bodéré, F.; Mahé, M.; De Crevoisier, R.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 133(2019)Supplement 1 Page Start: S1054 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. PD-0658: Suboptimal dosimetric coverage of PET/CT hotspots is associated with recurrence for cervical cancer. (November 2020) Authors: Lucia, F.; Visvikis, D.; Bourbonne, V.; Bert, J.; Abgral, R.; Dissaux, G.; Miranda, O.; Pradier, O.; Hatt, M.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 152(2020)Supplement 1 Page Start: S365 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. PH-0283: Machine learning methods to predict rectal bleeding after prostate cancer radiotherapy. (November 2020) Authors: Ibrahim, M.; Mylona, E.; Boussion, N.; Acosta, O.; De Crevoisier, R.; Hatt, M. Journal: Radiotherapy and oncology Issue: Volume 152(2020)Supplement 1 Page Start: S143 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. PH-0283: Machine learning methods to predict rectal bleeding after prostate cancer radiotherapy. (November 2020) Authors: Ibrahim, M.; Mylona, E.; Boussion, N.; Acosta, O.; De Crevoisier, R.; Hatt, M. Journal: Radiotherapy and oncology Issue: Volume 152(2020)Supplement 1 Page Start: S143 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. PO-0721: Prediction of local recurrence using pretreatment 18FDG PET/CT radiomics features in cervical cancer. (May 2017) Authors: Lucia, F.; Desseroit, M.; Miranda, O.; Visvikis, D.; Malhaire, J.; Robin, P.; Pradier, O.; Hatt, M.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 123:(2017:May)Supplement 1 Page Start: S378 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. PO-0733 Non-invasive imaging for tumor hypoxia: a novel validated CT and FDG-PET-based Radiomic signature. (April 2019) Authors: Sanduleanu, S.; Jochems, A.; Upadhaya, T.; Even, A.; Leijenaar, R.; Dankers, F.; Klaassen, R.; Woodruff, H.; Hatt, M.; Kaanders, H.; Hamming-Vrieze, O.; Van Laarhoven, H.; Subramiam, R.; Huang, S.; O'Sullivan, B.; Bratman, S.; Dubois, L.; Miclea, R.; Di Perri, D.; Geets, X. Journal: Radiotherapy and oncology Issue: Volume 133(2019)Supplement 1 Page Start: S376 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
10. PO-0805: Prediction of outcome using pretreatment PET and MRI radiomics in locally advanced cervical cancer. (April 2018) Authors: Lucia, F.; Visvikis, D.; Miranda, O.; Desseroit, M.C.; Robin, P.; Pradier, O.; Hatt, M.; Schick, U. Journal: Radiotherapy and oncology Issue: Volume 127(2018)Supplement 1 Page Start: S419 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗