| Learning from scanners: Bias reduction and feature correction in radiomics I Zhovannik, J Bussink, A Traverso, Z Shi, P Kalendralis, L Wee, A Dekker, ... Clinical and translational radiation oncology 19, 33-38, 2019 | 70 | 2019 |
| Distributed radiomics as a signature validation study using the Personal Health Train infrastructure Z Shi, I Zhovannik, A Traverso, FJWM Dankers, TM Deist, P Kalendralis, ... Scientific data 6 (1), 218, 2019 | 58 | 2019 |
| A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features E Pfaehler, I Zhovannik, L Wei, R Boellaard, A Dekker, R Monshouwer, ... Physics and imaging in radiation oncology 20, 69-75, 2021 | 53 | 2021 |
| Machine learning helps identifying volume-confounding effects in radiomics A Traverso, M Kazmierski, I Zhovannik, M Welch, L Wee, D Jaffray, ... Physica Medica 71, 24-30, 2020 | 53 | 2020 |
| Multicenter CT phantoms public dataset for radiomics reproducibility tests P Kalendralis, A Traverso, Z Shi, I Zhovannik, R Monshouwer, ... Medical physics 46 (3), 1512-1518, 2019 | 37 | 2019 |
| FAIR‐compliant clinical, radiomics and DICOM metadata of RIDER, interobserver, Lung1 and head‐Neck1 TCIA collections P Kalendralis, Z Shi, A Traverso, A Choudhury, M Sloep, I Zhovannik, ... Medical Physics 47 (11), 5931-5940, 2020 | 28 | 2020 |
| Generative models improve radiomics reproducibility in low dose CTs: a simulation study J Chen, C Zhang, A Traverso, I Zhovannik, A Dekker, L Wee, I Bermejo Physics in Medicine & Biology 66 (16), 165002, 2021 | 19 | 2021 |
| Plausibility and redundancy analysis to select FDG‐PET textural features in non‐small cell lung cancer E Pfaehler, L Mesotten, I Zhovannik, S Pieplenbosch, M Thomeer, ... Medical physics 48 (3), 1226-1238, 2021 | 16 | 2021 |
| 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 | 9 | 2021 |
| Learning from scanners: bias reduction and feature correction in radiomics. Clin Transl Radiat Oncol 19: 33–38 I Zhovannik, J Bussink, A Traverso, Z Shi, P Kalendralis, L Wee, A Dekker, ... | 9 | 2019 |
| A systematic review and quality of reporting checklist for repeatability and reproducibility of radiomic features. Phys Imaging Radiat Oncol 20: 69–75 E Pfaehler, I Zhovannik, L Wei, R Boellaard, A Dekker, R Monshouwer | 8 | 2021 |
| 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 | 6 | 2021 |
| Learning from scanners: bias reduction and feature correction in radiomics. Clin Transl Radiat Oncol 2019; 19: 33–8 I Zhovannik, J Bussink, A Traverso, Z Shi, P Kalendralis, L Wee | 5 | |
| 1283P Predicting the differential diagnosis of pneumonitis in stage IV non-small cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs) by combining … F Tohidinezhad, A Traverso, I Zhovannik, A Romita, LEL Hendriks, ... Annals of Oncology 32, S997, 2021 | 1 | 2021 |
| Volume bias in textural radiomics I Zhovannik, J Bussink, A Dekker, R Fijten, R Monshouwer International Journal of Radiation Oncology, Biology, Physics 105 (1), S118-S119, 2019 | 1 | 2019 |
| Learning from scanners: radiomics correction modeling I Zhovannik, J Bussink, R Fijten, A Dekker, R Monshouwer Radiotherapy and oncology, Elsevier Ireland Ltd Elsevier House, Brookvale …, 2019 | 1 | 2019 |
| 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 | | 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 | | 2023 |
| Pitfalls of Image Biomarker Analysis in Radiation Oncology I Zhovannik | | 2023 |
| 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 | | 2022 |
Andre DekkerProfessor of Clinical Data Science, MAASTRO Clinic, Maastricht University, GROW, Maastricht UMC+在 maastro.nl 的电子邮件经过验证
