Search

Your search keyword '"Bándi, P."' showing total 21 results
Start Over Author "Bándi, P." Publication Type Electronic Resources

Refine your results

21 results on '"Bándi, P."'

3. Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis

Author

Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, Eva, Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., Smeets, B., Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, Eva, Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., and Smeets, B.

Abstract

Contains fulltext : 249325.pdf (Publisher’s version ) (Open Access)

Published
2022

5. Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies

Author

Hermsen, M., Ciompi, F., Adefidipe, A., Denic, A., Dendooven, A., Smith, B.H., Midden, D. van, Bräsen, J.H., Kers, J., Stegall, M.D., Bándi, P., Nguyen, T., Swiderska-Chadaj, Z., Smeets, B., Hilbrands, L.B., Laak, J.A.W.M. van der, Hermsen, M., Ciompi, F., Adefidipe, A., Denic, A., Dendooven, A., Smith, B.H., Midden, D. van, Bräsen, J.H., Kers, J., Stegall, M.D., Bándi, P., Nguyen, T., Swiderska-Chadaj, Z., Smeets, B., Hilbrands, L.B., and Laak, J.A.W.M. van der

Abstract

Item does not contain fulltext, In kidney transplant biopsies, both inflammation and chronic changes are important features that predict long-term graft survival. Quantitative scoring of these features is important for transplant diagnostics and kidney research. However, visual scoring is poorly reproducible and labor intensive. The goal of this study was to investigate the potential of convolutional neural networks (CNNs) to quantify inflammation and chronic features in kidney transplant biopsies. A structure segmentation CNN and a lymphocyte detection CNN were applied on 125 whole-slide image pairs of periodic acid-Schiff- and CD3-stained slides. The CNN results were used to quantify healthy and sclerotic glomeruli, interstitial fibrosis, tubular atrophy, and inflammation within both nonatrophic and atrophic tubuli, and in areas of interstitial fibrosis. The computed tissue features showed high correlation with Banff lesion scores of five pathologists (A.A., A.Dend., J.H.B., J.K., and T.N.). Analyses on a small subset showed a moderate correlation toward higher CD3(+) cell density within scarred regions and higher CD3(+) cell count inside atrophic tubuli correlated with long-term change of estimated glomerular filtration rate. The presented CNNs are valid tools to yield objective quantitative information on glomeruli number, fibrotic tissue, and inflammation within scarred and non-scarred kidney parenchyma in a reproducible manner. CNNs have the potential to improve kidney transplant diagnostics and will benefit the community as a novel method to generate surrogate end points for large-scale clinical studies.

Published
2022

6. Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis

Author

Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, E., Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., Smeets, B., Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, E., Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., and Smeets, B.

Abstract

Contains fulltext : 249325.pdf (Publisher’s version ) (Open Access)

Published
2022

7. Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies

Author

Hermsen, M., Ciompi, F., Adefidipe, A., Denic, A., Dendooven, A., Smith, B.H., Midden, D. van, Bräsen, J.H., Kers, J., Stegall, M.D., Bándi, P., Nguyen, T., Swiderska-Chadaj, Z., Smeets, B., Hilbrands, L.B., Laak, J.A.W.M. van der, Hermsen, M., Ciompi, F., Adefidipe, A., Denic, A., Dendooven, A., Smith, B.H., Midden, D. van, Bräsen, J.H., Kers, J., Stegall, M.D., Bándi, P., Nguyen, T., Swiderska-Chadaj, Z., Smeets, B., Hilbrands, L.B., and Laak, J.A.W.M. van der

Abstract

Contains fulltext : 287283.pdf (Publisher’s version ) (Open Access), In kidney transplant biopsies, both inflammation and chronic changes are important features that predict long-term graft survival. Quantitative scoring of these features is important for transplant diagnostics and kidney research. However, visual scoring is poorly reproducible and labor intensive. The goal of this study was to investigate the potential of convolutional neural networks (CNNs) to quantify inflammation and chronic features in kidney transplant biopsies. A structure segmentation CNN and a lymphocyte detection CNN were applied on 125 whole-slide image pairs of periodic acid-Schiff- and CD3-stained slides. The CNN results were used to quantify healthy and sclerotic glomeruli, interstitial fibrosis, tubular atrophy, and inflammation within both nonatrophic and atrophic tubuli, and in areas of interstitial fibrosis. The computed tissue features showed high correlation with Banff lesion scores of five pathologists (A.A., A.Dend., J.H.B., J.K., and T.N.). Analyses on a small subset showed a moderate correlation toward higher CD3(+) cell density within scarred regions and higher CD3(+) cell count inside atrophic tubuli correlated with long-term change of estimated glomerular filtration rate. The presented CNNs are valid tools to yield objective quantitative information on glomeruli number, fibrotic tissue, and inflammation within scarred and non-scarred kidney parenchyma in a reproducible manner. CNNs have the potential to improve kidney transplant diagnostics and will benefit the community as a novel method to generate surrogate end points for large-scale clinical studies.

Published
2022

8. Parietal epithelial cells maintain the epithelial cell continuum forming Bowman's space in focal segmental glomerulosclerosis

Author

Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, E., Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., Smeets, B., Miesen, L., Bándi, P., Schreven-Willemsen, B.K.T., Mooren, F., Strieder, Thiago, Boldrini, E., Eymael, J., Wetzels, Roy, Steenbergen, E., Kuppevelt, T.H. van, Erp, M. van, Laak, J.A.W.M. van der, Wetzels, J.F.M., Jansen, J., and Smeets, B.

Abstract

Contains fulltext : 249325.pdf (Publisher’s version ) (Open Access)

Published
2022

11. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Author

Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., Litjens, G.J., Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., and Litjens, G.J.

Abstract

Contains fulltext : 201132.pdf (publisher's version ) (Open Access)

Published
2019

13. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Author

Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, Litjens, G.J., Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, and Litjens, G.J.

Abstract

Contains fulltext : 201136.pdf (Publisher’s version ) (Open Access)

Published
2019

15. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Author

Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., Litjens, G.J., Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., and Litjens, G.J.

Abstract

Contains fulltext : 201132.pdf (publisher's version ) (Open Access)

Published
2019

16. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Author

Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, Litjens, G.J., Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, and Litjens, G.J.

Abstract

Contains fulltext : 201136.pdf (Publisher’s version ) (Open Access)

Published
2019

18. From Detection of Individual Metastases to Classification of Lymph Node Status at the Patient Level: The CAMELYON17 Challenge

Author

Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, Litjens, G.J., Bándi, P., Geessink, O.G.F., Manson, Q.F., Dijk, M van, Balkenhol, M.C., Hermsen, M., Bult, P., Ginneken, B. van, Laak, J.A.W.M. van der, and Litjens, G.J.

Abstract

Contains fulltext : 201136.pdf (Publisher’s version ) (Open Access)

Published
2019

21. Epithelium segmentation using deep learning in H&E-stained prostate specimens with immunohistochemistry as reference standard

Author

Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., Litjens, G.J., Bulten, W., Bándi, P., Hoven, J.R., Loo, R.J.M. van de, Lotz, J., Weiss, N., Laak, J.A.W.M. van der, Ginneken, B. van, Hulsbergen-van de Kaa, C.A., and Litjens, G.J.

Abstract

Contains fulltext : 201132.pdf (publisher's version ) (Open Access)

Published
2019

Catalog

Books, media, physical & digital resources
See catalog results