| A Discriminatively Trained Fully Connected Conditional Random Field Model for Blood Vessel Segmentation in Fundus Images JI Orlando, E Prokofyeva, M Blaschko IEEE Transactions on Biomedical Engineering 64 (1), 16-27, 2017 | 251 | 2017 |
| An Ensemble Deep Learning Based Approach for Red Lesion Detection in Fundus Images JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko Computer Methods and Programs in Biomedicine 153, 115–127, 2017 | 123 | 2017 |
| Learning fully-connected CRFs for blood vessel segmentation in retinal images JI Orlando, M Blaschko Medical Image Computing and Computer Assisted Intervention (MICCAI) (2014 …, 2014 | 118 | 2014 |
| REFUGE Challenge: A Unified Framework for Evaluating Automated Methods for Glaucoma Assessment from Fundus Photographs JI Orlando, H Fu, JB Breda, K van Keer, DR Bathula, A Diaz-Pinto, R Fang, ... Medical image analysis, 101570, 2019 | 86 | 2019 |
| Convolutional neural network transfer for automated glaucoma identification JI Orlando, E Prokofyeva, M del Fresno, MB Blaschko 12th International Symposium on Medical Information Processing and Analysis …, 2017 | 84 | 2017 |
| Assessment of image features for vessel wall segmentation in intravascular ultrasound images L Lo Vercio, JI Orlando, M del Fresno, I Larrabide International journal of computer assisted radiology and surgery 11 (8 …, 2016 | 26 | 2016 |
| Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT P Seeböck, JI Orlando, T Schlegl, SM Waldstein, H Bogunović, ... IEEE Transactions on Medical Imaging 39 (1), 87-98, 2020 | 24 | 2020 |
| U2-Net: A Bayesian U-Net Model With Epistemic Uncertainty Feedback For Photoreceptor Layer Segmentation In Pathological OCT Scans JI Orlando, P Seeböck, H Bogunović, S Klimscha, C Grechenig, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 22 | 2019 |
| Proliferative Diabetic Retinopathy Characterization based on Fractal Features: Evaluation on a Publicly Available Data Set JI Orlando, K van Keer, J Barbosa Breda, HL Manterola, MB Blaschko, ... Medical Physics, 2017 | 17 | 2017 |
| Towards a glaucoma risk index based on simulated hemodynamics from fundus images JI Orlando, JB Breda, K van Keer, MB Blaschko, PJ Blanco, CA Bulant Medical Image Computing and Computer Assisted Intervention (MICCAI) (2018), 2018 | 15 | 2018 |
| Reducing image variability across OCT devices with unsupervised unpaired learning for improved segmentation of retina D Romo-Bucheli, P Seeböck, JI Orlando, BS Gerendas, SM Waldstein, ... Biomedical optics express 11 (1), 346-363, 2020 | 11 | 2020 |
| Using CycleGANs for effectively reducing image variability across OCT devices and improving retinal fluid segmentation P Seeböck, D Romo-Bucheli, S Waldstein, H Bogunović, JI Orlando, ... 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019 …, 2019 | 11 | 2019 |
| On Orthogonal Projections for Dimension Reduction and Applications in Augmented Target Loss Functions for Learning Problems A Breger, JI Orlando, P Harar, M Dörfler, S Klimscha, C Grechenig, ... Journal of Mathematical Imaging and Vision 62, 376-394, 2020 | 7 | 2020 |
| Improving realism in patient-specific abdominal Ultrasound simulation using CycleGANs S Vitale, JI Orlando, E Iarussi, I Larrabide International Journal of Computer Assisted Radiology and Surgery, 2019 | 7 | 2019 |
| Retinal blood vessel segmentation in high resolution fundus photographs using automated feature parameter estimation JI Orlando, M Fracchia, V del Río, M del Fresno 13th International Conference on Medical Information Processing and Analysis, 2017 | 7 | 2017 |
| Multiclass segmentation as multitask learning for drusen segmentation in retinal optical coherence tomography R Asgari, JI Orlando, S Waldstein, F Schlanitz, M Baratsits, ... Medical Image Computing and Computer Assisted Intervention (MICCAI) (2019), 2019 | 5 | 2019 |
| AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography H Fu, F Li, X Sun, X Cao, J Liao, JI Orlando, X Tao, Y Li, S Zhang, M Tan, ... Medical Image Analysis 66, 101798, 2020 | 4 | 2020 |
| Automated quantification of photoreceptor alteration in macular disease using optical coherence tomography and deep learning JI Orlando, BS Gerendas, S Riedl, C Grechenig, A Breger, M Ehler, ... Scientific reports 10 (1), 1-12, 2020 | 3 | 2020 |
| Foveal avascular zone segmentation in clinical routine fluorescein angiographies using multitask learning D Hofer, JI Orlando, P Seeböck, G Mylonas, F Goldbach, A Sadeghipour, ... International Workshop on Ophthalmic Medical Image Analysis, 35-42, 2019 | 3 | 2019 |
| Machine learning for ophthalmic screening and diagnostics from fundus images JI Orlando Facultad de Ciencias Exactas - Universidad Nacional del Centro de la …, 2017 | 3 | 2017 |
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
