Soerensen, S. J. C., Fan, R. E., Seetharaman, A., Chen, L., Shao, W., Bhattacharya, I., Kim, Y. H., Sood, R.
, Borre, M., Chung, B. I., To'o, K. J., Rusu, M. & Sonn, G. A. (2021).
Deep Learning Improves Speed and Accuracy of Prostate Gland Segmentations on Magnetic Resonance Imaging for Targeted Biopsy.
Journal of Urology,
206(3), 604-612.
https://doi.org/10.1097/JU.0000000000001783
Taber, A., Christensen, E., Lamy, P., Agerbæk, M., Jensen, J. B. & Dyrskjøt, L. (2021).
Reply to: Reconciling differences in impact of molecular subtyping on response to cisplatin-based chemotherapy.
Nature Communications,
12, Article 4834.
https://doi.org/10.1038/s41467-021-24839-6
Høyer, S., Mose, F. H., Ekeløf, P., Jensen, J. B. & Bech, J. N. (2021).
Hemodynamic, renal and hormonal effects of lung protective ventilation during robot-assisted radical prostatectomy, analysis of secondary outcomes from a randomized controlled trial.
BMC Anesthesiology,
21, Article 200.
https://doi.org/10.1186/s12871-021-01401-x
Andersen, L. B., Nørgaard, M., Rasmussen, M., Fredsøe, J., Borre, M., Ulhøi, B. P. & Sørensen, K. D. (2021).
Immune cell analyses of the tumor microenvironment in prostate cancer highlight infiltrating regulatory T cells and macrophages as adverse prognostic factors.
Journal of Pathology,
255(2), 155-165.
https://doi.org/10.1002/path.5757
Ciarleglio, F. A., Rigoni, M., Mereu, L., Tommaso, C., Carrara, A., Malossini, G., Tateo, S., Tirone, G.
, Bjerklund Johansen, T. E., Benetollo, P. P., Ferro, A., Guarrera, G. M., Grattarola, M., Nollo, G. & Brolese, A. (2021).
The negative effects of COVID-19 and national lockdown on emergency surgery morbidity due to delayed access.
World Journal of Emergency Surgery,
16, Article 37.
https://doi.org/10.1186/s13017-021-00382-zBarbateskovic, M., Koster, T. M., Eck, R. J., Maagaard, M., Afshari, A., Blokzijl, F., Cronhjort, M., Dieperink, W., Fabritius, M. L., Feinberg, J., French, C., Gareb, B., Geisler, A., Granholm, A., Hiemstra, B., Hu, R., Imberger, G.
, Jensen, B. T., Jonsson, A. B. ... Wetterslev, J. (2021).
A new tool to assess Clinical Diversity In Meta-analyses (CDIM) of interventions.
Journal of Clinical Epidemiology,
135, 29-41.
https://doi.org/10.1016/j.jclinepi.2021.01.023Nadler, N., Kvich, L., Bjarnsholt, T.
, Jensen, J. B., Gögenur, I. & Azawi, N. (2021).
The discovery of bacterial biofilm in patients with muscle invasive bladder cancer.
APMIS,
129(5), 265-270.
https://doi.org/10.1111/apm.13097Sweeney, C., Bracarda, S., Sternberg, C. N., Chi, K. N., Olmos, D., Sandhu, S., Massard, C., Matsubara, N., Alekseev, B., Parnis, F., Atduev, V., Buchschacher, G. L., Gafanov, R., Corrales, L.
, Borre, M., Stroyakovskiy, D., Alves, G. V., Bournakis, E., Puente, J. ... de Bono, J. S. (2021).
Ipatasertib plus abiraterone and prednisolone in metastatic castration-resistant prostate cancer (IPATential150): a multicentre, randomised, double-blind, phase 3 trial.
The Lancet,
398(10295), 131-142.
https://doi.org/10.1016/S0140-6736(21)00580-8Bolous, A., Seetharaman, A., Bhattacharya, I., Fan, R. E.
, Soerensen, S. J. C., Chen, L., Ghanouni, P., Sonn, G. A. & Rusu, M. (2021).
Clinically significant prostate cancer detection on MRI with self-supervised learning using image context restoration. In M. A. Mazurowski & K. Drukker (Eds.),
Medical Imaging 2021: Computer-Aided Diagnosis Article 115971M SPIE - International Society for Optical Engineering.
https://doi.org/10.1117/12.2581557Soerensen, S. J. C., Fan, R., Seetharaman, A., Chen, L., Shao, W., Bhattacharya, I.
, Borre, M., Chung, B., To'O, K., Sonn, G. & Rusu, M. (2021).
ProGNet: Prostate gland segmentation on MRI with deep learning. In I. Isgum & B. A. Landman (Eds.),
Medical Imaging 2021: Image Processing Article 115962R SPIE - International Society for Optical Engineering.
https://doi.org/10.1117/12.2580448
Lindskrog, S. V., Prip, F., Lamy, P., Taber, A., Groeneveld, C. S.
, Birkenkamp-Demtröder, K., Jensen, J. B., Strandgaard, T., Nordentoft, I., Christensen, E., Sokac, M., Birkbak, N. J., Maretty, L., Hermann, G. G., Petersen, A. C., Weyerer, V., Grimm, M. O., Horstmann, M., Sjödahl, G.
... Dyrskjøt, L. (2021).
An integrated multi-omics analysis identifies prognostic molecular subtypes of non-muscle-invasive bladder cancer.
Nature Communications,
12(1), Article 2301.
https://doi.org/10.1038/s41467-021-22465-w
Bjerre, E. D., Weller, S., Poulsen, M. H.
, Madsen, S. S., Bjerre, R. D., Østergren, P. B.
, Borre, M., Brasso, K. & Midtgaard, J. (2021).
Safety and Effects of Football in Skeletal Metastatic Prostate Cancer: a Subgroup Analysis of the FC Prostate Community Randomised Controlled Trial.
Sports Medicine - Open,
7, Article 27.
https://doi.org/10.1186/s40798-021-00318-6Thomsen, A. M. L., Ramlau-Hansen, C. H., Olsen, J., Brix, N., Andersen, A.-M. N.
, Lunddorf, L. L. H. & Ernst, A. (2022).
The influence of parental age on timing of puberty: A study in the Danish National Birth Cohort.
Scandinavian Journal of Public Health,
50(5), 629-637.
https://doi.org/10.1177/14034948211019794
Hvidt, J. J., Brix, N., Ernst, A., Lauridsen, L. L. B. & Ramlau-Hansen, C. (2021).
Breast feeding and timing of puberty in boys and girls: A nationwide cohort study.
Paediatric and Perinatal Epidemiology,
35(5), 578-589.
https://doi.org/10.1111/ppe.12767
Hanifa, M. A.
, Skott, M., Maltesen, R. G., Rasmussen, B. S., Nielsen, S.
, Frøkiær, J., Ring, T. & Wimmer, R. (2020).
Tissue, urine and serum NMR metabolomics dataset from a 5/6 nephrectomy rat model of chronic kidney disease.
Data in Brief,
33, Article 106567.
https://doi.org/10.1016/j.dib.2020.106567Sandahl, M., Pedersen, B. G., Ulhøi, B. P., Borre, M. & Sørensen, K. D. (2021).
Risk stratification in men with a negative prostate biopsy: An interim analysis of a prospective cohort study.
BJU International,
128(6), 702-712.
https://doi.org/10.1111/bju.15443
Bhattacharya, I., Seetharaman, A., Shao, W., Sood, R., Kunder, C. A., Fan, R. E.
, Soerensen, S. J. C., Wang, J. B., Ghanouni, P., Teslovich, N. C., Brooks, J. D., Sonn, G. A. & Rusu, M. (2020).
CorrSigNet: Learning CORRelated Prostate Cancer SIGnatures from Radiology and Pathology Images for Improved Computer Aided Diagnosis. In A. L. Martel, P. Abolmaesumi, D. Stoyanov, D. Mateus, M. A. Zuluaga, S. K. Zhou, D. Racoceanu & L. Joskowicz (Eds.),
Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 - 23rd International Conference, Proceedings (pp. 315-325). Springer.
https://doi.org/10.1007/978-3-030-59713-9_31