| Automated grading of age-related macular degeneration from color fundus images using deep convolutional neural networks PM Burlina, N Joshi, M Pekala, KD Pacheco, DE Freund, NM Bressler JAMA ophthalmology 135 (11), 1170-1176, 2017 | 587 | 2017 |
| Effect of COVID-19 pandemic lockdowns on planned cancer surgery for 15 tumour types in 61 countries: an international, prospective, cohort study J Glasbey, A Ademuyiwa, A Adisa, E AlAmeer, AP Arnaud, F Ayasra, ... The Lancet Oncology 22 (11), 1507-1517, 2021 | 233 | 2021 |
| Comparing humans and deep learning performance for grading AMD: a study in using universal deep features and transfer learning for automated AMD analysis P Burlina, KD Pacheco, N Joshi, DE Freund, NM Bressler Computers in biology and medicine 82, 80-86, 2017 | 211 | 2017 |
| Deep learning based retinal OCT segmentation M Pekala, N Joshi, TYA Liu, NM Bressler, DC DeBuc, P Burlina Computers in biology and medicine 114, 103445, 2019 | 187 | 2019 |
| Use of deep learning for detailed severity characterization and estimation of 5-year risk among patients with age-related macular degeneration PM Burlina, N Joshi, KD Pacheco, DE Freund, J Kong, NM Bressler JAMA ophthalmology 136 (12), 1359-1366, 2018 | 156 | 2018 |
| Detection of age-related macular degeneration via deep learning P Burlina, DE Freund, N Joshi, Y Wolfson, NM Bressler 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 184-188, 2016 | 138 | 2016 |
| Assessment of deep generative models for high-resolution synthetic retinal image generation of age-related macular degeneration PM Burlina, N Joshi, KD Pacheco, TYA Liu, NM Bressler JAMA ophthalmology 137 (3), 258-264, 2019 | 133 | 2019 |
| Automated diagnosis of myositis from muscle ultrasound: Exploring the use of machine learning and deep learning methods P Burlina, S Billings, N Joshi, J Albayda PloS one 12 (8), e0184059, 2017 | 116 | 2017 |
| Addressing artificial intelligence bias in retinal diagnostics P Burlina, N Joshi, W Paul, KD Pacheco, NM Bressler Translational Vision Science & Technology 10 (2), 13-13, 2021 | 78 | 2021 |
| Automated detection of erythema migrans and other confounding skin lesions via deep learning PM Burlina, NJ Joshi, E Ng, SD Billings, AW Rebman, JN Aucott Computers in biology and medicine 105, 151-156, 2019 | 63 | 2019 |
| Low-shot deep learning of diabetic retinopathy with potential applications to address artificial intelligence bias in retinal diagnostics and rare ophthalmic diseases P Burlina, W Paul, P Mathew, N Joshi, KD Pacheco, NM Bressler JAMA ophthalmology 138 (10), 1070-1077, 2020 | 55 | 2020 |
| Safety and efficacy of non‐steroidal anti‐inflammatory drugs to reduce ileus after colorectal surgery EuroSurg Collaborative, SJ Chapman, D Clerc, R Blanco‐Colino, A Otto, ... British Journal of Surgery 107 (2), e161-e169, 2020 | 55 | 2020 |
| Where's Wally now? Deep generative and discriminative embeddings for novelty detection P Burlina, N Joshi, I Wang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 53 | 2019 |
| Utility of deep learning methods for referability classification of age-related macular degeneration P Burlina, N Joshi, KD Pacheco, DE Freund, J Kong, NM Bressler JAMA ophthalmology 136 (11), 1305-1307, 2018 | 52 | 2018 |
| AI-based detection of erythema migrans and disambiguation against other skin lesions PM Burlina, NJ Joshi, PA Mathew, W Paul, AW Rebman, JN Aucott Computers in biology and medicine 125, 103977, 2020 | 38 | 2020 |
| Outcomes of gynecologic cancer surgery during the COVID-19 pandemic: an international, multicenter, prospective CovidSurg-Gynecologic Oncology Cancer study C Fotopoulou, T Khan, J Bracinik, J Glasbey, N Abu-Rustum, L Chiva, ... American Journal of Obstetrics & Gynecology 227 (5), 735. e1-735. e25, 2022 | 29 | 2022 |
| Safety of hospital discharge before return of bowel function after elective colorectal surgery Journal of British Surgery 107 (5), 552-559, 2020 | 21 | 2020 |
| Deep embeddings for novelty detection in myopathy P Burlina, N Joshi, S Billings, IJ Wang, J Albayda Computers in biology and medicine 105, 46-53, 2019 | 15 | 2019 |
| TARA: Training and representation alteration for AI fairness and domain generalization W Paul, A Hadzic, N Joshi, F Alajaji, P Burlina Neural Computation 34 (3), 716-753, 2022 | 14 | 2022 |
| Oct segmentation via deep learning: A review of recent work M Pekala, N Joshi, TYA Liu, NM Bressler, D Cabrera DeBuc, P Burlina Computer Vision–ACCV 2018 Workshops: 14th Asian Conference on Computer …, 2019 | 13 | 2019 |
