| Ensemble of deep convolutional neural networks for classification of early Barrett’s neoplasia using volumetric laser endomicroscopy R Fonollà, T Scheeve, MR Struyvenberg, WL Curvers, AJ de Groof, ... Applied Sciences 9 (11), 2183, 2019 | 22 | 2019 |
| Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical diagnosis QEW van der Zander, RM Schreuder, R Fonollà, T Scheeve, ... Endoscopy 53 (12), 1219-1226, 2021 | 19 | 2021 |
| Deep principal dimension encoding for the classification of early neoplasia in Barrett's Esophagus with volumetric laser endomicroscopy J van der Putten, M Struyvenberg, J de Groof, T Scheeve, W Curvers, ... Computerized Medical Imaging and Graphics 80, 101701, 2020 | 13 | 2020 |
| Classification and regression tree and computer adaptive testing in cardiac rehabilitation: instrument validation study L Peute, T Scheeve, M Jaspers Journal of medical Internet research 22 (1), e12509, 2020 | 9 | 2020 |
| Colorectal polyp classification using confidence-calibrated convolutional neural networks KC Kusters, T Scheeve, N Dehghani, QEW van der Zander, ... Medical Imaging 2022: Computer-Aided Diagnosis 12033, 456-468, 2022 | 8 | 2022 |
| de With PHN, Masclee AAM, Schoon EJ. Optical diagnosis of colorectal polyp images using a newly developed computer-aided diagnosis system (CADx) compared with intuitive optical … QEW van der Zander, RM Schreuder, R Fonollà, T Scheeve, ... Endoscopy, 2020 | 6 | 2020 |
| Image features for automated colorectal polyp classification based on clinical prediction models MCA van Grinsven, T Scheeve, RM Schreuder, F van der Sommen, ... 2019 IEEE International Conference on Image Processing (ICIP), 210-214, 2019 | 3 | 2019 |
| Robust colorectal polyp characterization using a hybrid bayesian neural network N Dehghani, T Scheeve, QEW van der Zander, A Thijssen, RM Schreuder, ... MICCAI Workshop on Cancer Prevention through Early Detection, 108-117, 2022 | 2 | 2022 |
| Computer-aided classification of colorectal polyps using blue-light and linked-color imaging T Scheeve, RM Schreuder, F van der Sommen, JEG IJspeert, E Dekker, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 268-275, 2019 | 2 | 2019 |
| A novel clinical gland feature for detection of early Barrett’s neoplasia using volumetric laser endomicroscopy T Scheeve, MR Struyvenberg, WL Curvers, AJ de Groof, EJ Schoon, ... Medical Imaging 2019: Computer-Aided Diagnosis 10950, 498-503, 2019 | 2 | 2019 |
| Artificial intelligence for characterization of diminutive colorectal polyps: A feasibility study comparing two computer-aided diagnosis systems QEW van der Zander, RM Schreuder, A Thijssen, CHJ Kusters, ... Artificial Intelligence in Gastrointestinal Endoscopy 5 (1), 2024 | | 2024 |
| Automatic textual description of colorectal polyp features: explainable artificial intelligence A Thijssen, RM r Schreuder, R Fonollà, Q van der Zander, T Scheeve, ... Endoscopy international open 11 (05), E513-E518, 2023 | | 2023 |
| Effect of domain-specific self-supervised pretraining on predictive uncertainty for colorectal polyp characterization N Dehghani, T Scheeve, TGW Boers, QEW van der Zander, A Thijssen, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 327-332, 2023 | | 2023 |
| How does image quality affect computer-aided diagnosis of colorectal polyps? T Scheeve, N Dehghani, QEW van der Zander, A Thijssen, RM Schreuder, ... Medical Imaging 2023: Computer-Aided Diagnosis 12465, 156-163, 2023 | | 2023 |
| The effect of image quality on the performance of computer-aided diagnosis systems for colorectal polyps QE van der Zander, T Scheeve, A Thijssen, N Dehghani, RM Schreuder, ... Endoscopy 55 (S 02), OP270, 2023 | | 2023 |
| Confidence Calibration using a Bayesian Variational Inference-based approach for Colorectal Polyp Classification N Dehghani, T Scheeve, QEW van der Zander, A Thijssen, RM Schreuder, ... 26th UK Conference on Medical Image Understanding and Analysis: WiMIUA workshop, 2022 | | 2022 |
| Real-time classification of colorectal polyps using artificial intelligence–a prospective pilot study comparing two computer-aided diagnosis systems and one expert endoscopist QE van der Zander, RM Schreuder, A Thijssen, KC Kusters, N Dehghani, ... Gastrointestinal Endoscopy 95 (6), AB250-AB251, 2022 | | 2022 |
| Automatic textual description of colorectal polyp features: explainable artificial intelligence based on the BASIC classification A Thijssen, RM Schreuder, R Fonollà, QE van der Zander, T Scheeve, ... Endoscopy 54 (S 01), OP215, 2022 | | 2022 |
| REAL-TIME CHARACTERIZATION OF COLORECTAL POLYPS USING ARTIFICIAL INTELLIGENCE–A PROSPECTIVE PILOT STUDY COMPARING TWO COMPUTER-AIDED DIAGNOSIS SYSTEMS AND ONE EXPERT ENDOSCOPIST QE van der Zander, RM Schreuder, A Thijssen, KC Kusters, N Dehghani, ... Endoscopy 54 (S 01), eP206, 2022 | | 2022 |
| Trust in artificial intelligence: do confidence scores increase the appropriate trust of a medical doctor in computer-aided diagnosis systems? R Roumans, QEW van der Zander, T Scheeve, K Kusters, N Dehghani, ... Digestive Disease Days, 2022 | | 2022 |
Fons van der SommenAssociate Professor, Eindhoven University of TechnologyVerified email at tue.nl
