CAR-DESPOT: causally-informed online POMDP planning for robots in confounded environments por Cannizzaro, R, Kunze, L

Towards a causal probabilistic framework for prediction, action-selection & explanations for robot block-stacking tasks por Cannizzaro, R, Routley, J, Kunze, L

Towards a causal probabilistic framework for prediction, action-selection & explanations for robot block-stacking tasks por Cannizzaro, R, Routley, J, Kunze, L

Towards probabilistic causal discovery, inference & explanations for autonomous drones in mine surveying tasks por Cannizzaro, R, Howard, R, Lewinska, P, Kunze, L

A multi-centre polyp detection and segmentation dataset for generalisability assessment por Ali, S, Jha, D, Ghatwary, N, Realdon, S, Cannizzaro, R, Salem, OE, Lamarque, D, Daul, C, Riegler, MA, Anonsen, KV, Petlund, A, Halvorsen, P, Rittscher, J, de Lange, T, East, JE

Methylene Blue MMX (R) increases adenoma detection rate in screening and surveillance colonoscopy- A multi-centre, multinational, placebo controlled, randomised, double-blind at ra... por Repici, A, Wallace, M, East, J, Sharma, P, Bisschops, R, Ramirez, F, Bruining, D, Young, M, Gatof, D, Canto, M, Marcon, N, Cannizzaro, R, Kiesslich, R, Rutter, M, Dekker, E, Siersema, P, Spaander, M, Kupcinskas, L, Radaelli, F, Bhandari, P, Vieth, M, Hassan, C

Efficacy of per-oral methylene blue formulation for screening colonoscopy por Repici, A, Wallace, M, East, J, Sharma, P, Ramirez, F, Bruining, D, Young, M, Gatof, D, Canto, M, Marcon, N, Cannizzaro, R, Kiesslich, R, Rutter, M, Dekker, E, Siersema, P, Spaander, M, Kupcinskas, L, Jonaitis, L, Bisschops, R, Radaelli, F, Bhandari, P, Wilson, A, Early, D, Gupta, N, Vieth, M, Lauwers, G, Rossini, M, Hassan, C

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge por Ali, S, Ghatwary, N, Jha, D, Isik-Polat, E, Polat, G, Yang, C, Li, W, Galdran, A, Ballester, M-ÁG, Thambawita, V, Hicks, S, Poudel, S, Lee, S-W, Jin, Z, Gan, T, Yu, C, Yan, J, Yeo, D, Lee, H, Tomar, NK, Haithami, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, de Lange, T, East, JE

Assessing generalisability of deep learning-based polyp detection and segmentation methods through a computer vision challenge por Ali, S, Ghatwary, N, Jha, D, Isik-Polat, E, Polat, G, Yang, C, Li, W, Galdran, A, Ballester, M-ÁG, Thambawita, V, Hicks, S, Poudel, S, Lee, S-W, Jin, Z, Gan, T, Yu, C, Yan, J, Yeo, D, Lee, H, Tomar, NK, Haithmi, M, Ahmed, A, Riegler, MA, Daul, C, Halvorsen, P, Rittscher, J, Salem, OE, Lamarque, D, Cannizzaro, R, Realdon, S, Lange, TD, East, JE

Deep learning for detection and segmentation of artefact and disease instances in gastrointestinal endoscopy por Ali, S, Dmitrieva, M, Ghatwary, N, Bano, S, Polat, G, Temizel, A, Krenzer, A, Hekalo, A, Guo, YB, Matuszewski, B, Gridach, M, Voiculescu, I, Yoganand, V, Chavan, A, Raj, A, Nguyen, NT, Tran, DQ, Huyanh, LD, Boutry, N, Rezvy, S, Chen, H, Choi, YH, Subramanian, A, Balasubramanian, V, Gao, XW, Hu, H, Liao, Y, Stoyanov, D, Dual, C, Realdon, S, Cannizzaro, R, Lamarque, D, Tran-Nguyen, T, Bailey, A, Braden, B, East, JE, Rittscher, J