| 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 | 197 | 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 | 107 | 2014 |
| 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 | 89 | 2017 |
| 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 | 69 | 2017 |
| 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 | 41 | 2019 |
| 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 | 18 | 2016 |
| 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 | 12 | 2019 |
| 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 | 9 | 2020 |
| 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 | 9 | 2017 |
| 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 | 8 | 2019 |
| 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 | 8 | 2018 |
| 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 | 6 | 2017 |
| 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 | 5 | 2020 |
| 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, ... arXiv preprint arXiv:1901.07598, 2019 | 4 | 2019 |
| SketchZooms: Deep multi-view descriptors for matching line drawings P Navarro, JI Orlando, C Delrieux, E Iarussi arXiv preprint arXiv:1912.05019, 2019 | 2 | 2019 |
| 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 | 2 | 2019 |
| 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 | 2 | 2019 |
| Machine learning for ophthalmic screening and diagnostics from fundus images JI Orlando Facultad de Ciencias Exactas - Universidad Nacional del Centro de la …, 2017 | 2 | 2017 |
| Reviewing Preprocessing and Feature Extraction Techniques for Retinal Blood Vessels Segmentation in Fundus Images JI Orlando, M del Fresno Mecánica Computacional 33 (42), 2729-2743, 2014 | 2 | 2014 |
| Un enfoque híbrido para la segmentación de tumores en MRI cerebrales JI Orlando, E Ferrante, HL Manterola, M del Fresno 3º Congreso Argentino de Informática y Salud, CAIS 2012, 70-91, 2012 | 2 | 2012 |
Matthew BlaschkoKU LeuvenVerified email at esat.kuleuven.be
