| Kvasir-seg: A segmented polyp dataset D Jha, PH Smedsrud, MA Riegler, P Halvorsen, T De Lange, D Johansen, ... MultiMedia modeling: 26th international conference, MMM 2020, Daejeon, South …, 2020 | 1553 | 2020 |
| Resunet++: An advanced architecture for medical image segmentation D Jha, PH Smedsrud, MA Riegler, D Johansen, T De Lange, P Halvorsen, ... 2019 IEEE international symposium on multimedia (ISM), 225-2255, 2019 | 1312 | 2019 |
| Kvasir: A multi-class image dataset for computer aided gastrointestinal disease detection K Pogorelov, KR Randel, C Griwodz, SL Eskeland, T de Lange, ... Proceedings of the 8th ACM on Multimedia Systems Conference, 164-169, 2017 | 730 | 2017 |
| HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy H Borgli, V Thambawita, PH Smedsrud, S Hicks, D Jha, SL Eskeland, ... Scientific data 7 (1), 283, 2020 | 436 | 2020 |
| A comprehensive study on colorectal polyp segmentation with ResUNet++, conditional random field and test-time augmentation D Jha, PH Smedsrud, D Johansen, T De Lange, HD Johansen, ... IEEE journal of biomedical and health informatics 25 (6), 2029-2040, 2021 | 300 | 2021 |
| Consecutive fecal calprotectin measurements to predict relapse in patients with ulcerative colitis receiving infliximab maintenance therapy MD Vos, EJ Louis, J Jahnsen, JGP Vandervoort, M Noman, O Dewit, ... Inflammatory bowel diseases 19 (10), 2111-2117, 2013 | 247 | 2013 |
| Kvasir-Capsule, a video capsule endoscopy dataset PH Smedsrud, V Thambawita, SA Hicks, H Gjestang, OO Nedrejord, ... Scientific Data 8 (1), 142, 2021 | 212 | 2021 |
| A multi-centre polyp detection and segmentation dataset for generalisability assessment S Ali, D Jha, N Ghatwary, S Realdon, R Cannizzaro, OE Salem, ... Scientific Data 10 (1), 75, 2023 | 128 | 2023 |
| Kvasir-instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy D Jha, S Ali, K Emanuelsen, SA Hicks, V Thambawita, E Garcia-Ceja, ... MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech …, 2021 | 127 | 2021 |
| SinGAN-Seg: Synthetic training data generation for medical image segmentation V Thambawita, P Salehi, SA Sheshkal, SA Hicks, HL Hammer, S Parasa, ... PloS one 17 (5), e0267976, 2022 | 105 | 2022 |
| Colorectal cancer screening with repeated fecal immunochemical test versus sigmoidoscopy: baseline results from a randomized trial KR Randel, AL Schult, E Botteri, G Hoff, M Bretthauer, G Ursin, E Natvig, ... Gastroenterology 160 (4), 1085-1096. e5, 2021 | 105 | 2021 |
| Nerthus: A bowel preparation quality video dataset K Pogorelov, KR Randel, T de Lange, SL Eskeland, C Griwodz, ... Proceedings of the 8th ACM on Multimedia Systems Conference, 170-174, 2017 | 100 | 2017 |
| Inter-observer agreement in the assessment of endoscopic findings in ulcerative colitis T De Lange, S Larsen, L Aabakken BMC gastroenterology 4, 1-10, 2004 | 97 | 2004 |
| Performance measures for endoscopy services: a European Society of Gastrointestinal Endoscopy (ESGE) quality improvement initiative R Valori, G Cortas, T De Lange, OS Balfaqih, M de Pater, P Eisendrath, ... Endoscopy 50 (12), 1186-1204, 2018 | 90 | 2018 |
| Efficient disease detection in gastrointestinal videos–global features versus neural networks K Pogorelov, M Riegler, SL Eskeland, T de Lange, D Johansen, ... Multimedia Tools and Applications 76 (21), 22493-22525, 2017 | 90 | 2017 |
| Nanonet: Real-time polyp segmentation in video capsule endoscopy and colonoscopy D Jha, NK Tomar, S Ali, MA Riegler, HD Johansen, D Johansen, ... 2021 IEEE 34th International Symposium on Computer-Based Medical Systems …, 2021 | 81 | 2021 |
| Withdrawal time as a quality indicator for colonoscopy–a nationwide analysis V Moritz, M Bretthauer, HK Ruud, T Glomsaker, T De Lange, P Sandvei, ... Endoscopy 44 (05), 476-481, 2012 | 81 | 2012 |
| Ro YM, et al., et al D Jha, PH Smedsrud, MA Riegler, P Halvorsen, T De Lange, D Johansen, ... Kvasir-SEG: a segmented polyp dataset MultiMedia Modeling, 451-462, 2020 | 71 | 2020 |
| Deep learning and hand-crafted feature based approaches for polyp detection in medical videos K Pogorelov, O Ostroukhova, M Jeppsson, H Espeland, C Griwodz, ... 2018 IEEE 31st International Symposium on Computer-Based Medical Systems …, 2018 | 71 | 2018 |
| Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge S Ali, N Ghatwary, D Jha, E Isik-Polat, G Polat, C Yang, W Li, A Galdran, ... Scientific Reports 14 (1), 2032, 2024 | 70 | 2024 |
Pål HalvorsenSimulaMet, Simula Research Laboratory, Oslo Metropolitan University (OsloMet), University of Oslo在 simula.no 的電子郵件地址已通過驗證
