A new method for efficient convolution in frequency domain by nonuniform partitioning for adaptive filtering von Egelmeers, G.P.M., Sommen, P.C.W.

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An analysis of real-Fourier domain-based adaptive algorithms implemented with the Hartley transform using cosine-sine symmetries von Raghavan, V., Prabhu, K.M.M., Sommen, P.C.W.

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New constraining method for partitioned block frequency-domain adaptive filters von Derkx, R.M.M., Egelmeers, G.R.M., Sommen, P.C.W.

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Complexity of pruning strategies for the frequency domain LMS algorithm von Raghavan, Vasanthan, Prabhu, K.M.M., Sommen, P.C.W.

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Complexity of pruning strategies for the frequency domain LMS algorithm: Fractional calculus applications in signals and systems von RAGHAVAN, Vasanthan, PRABHU, K. M. M, SOMMEN, P. C. W

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Blind extraction algorithm with direct desired signal selection von Bloemendal, B B A J, van de Laar, J, Sommen, P C W

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WDM monitoring technique using adaptive blind signal separation von Tangdiongga, E., Calabretta, N., Sommen, P.C.W., Dorren, H.J.S.

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A 6.7 kbps vector sum excited linear prediction on TMS320C54X digital signal processor von Dharani Kumar, K.N., Prabhu, K.M.M., Sommen, P.C.W.

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Efficient realization of the block frequency domain adaptive filter von Schobben, D.W.E., Egelmeers, G.P.M., Sommen, P.C.W.

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Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy von den Boer, R. B., Jaspers, T. J. M., de Jongh, C., Pluim, J. P. W., van der Sommen, F., Boers, T., van Hillegersberg, R., Van Eijnatten, M. A. J. M., Ruurda, J. P.

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Joint Dereverberation and Residual Echo Suppression of Speech Signals in Noisy Environments von Habets, E.A.P., Gannot, S., Cohen, I., Sommen, P.

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Convergence analysis of a frequency-domain adaptive filter with exponential power averaging and generalized window function von Sommen, P., van Gerwen, P., Kotmans, H., Janssen, A.

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Plants protect their roots by alerting the enemies of grubs von Tol, R.W.H.M. van, Sommen, A.T.C. van der, Boff, M.I.C, Bezooijen, J. van, Sabelis, M.W, Smits, P.H

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A frequency domain blind signal separation method based on decorrelation von Schobben, D.W.E., Sommen, P.W.

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Computer-aided diagnosis improves characterization of Barrett’s neoplasia by general endoscopists (with video) von Jukema, Jelmer B., Kusters, Carolus H.J., Jong, Martijn R., Fockens, Kiki N., Boers, Tim, van der Putten, Joost A., Pouw, Roos E., Duits, Lucas C., Weusten, Bas L.A.M., Herrero, Lorenza Alvarez, Houben, Martin H.M.G., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, Alaa, Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Silva, Francisco Baldaque, Barret, Maximilien, Ortiz Fernández-Sordo, Jacobo, Moral Villarejo, Guiomar, Pech, Oliver, Beyna, Torsten, Montazeri, Nahid S.M., der Sommen, Fons van, de With, Peter H., de Groof, A. Jeroen, Bergman, Jacques J., Alkhalaf, Alaa, Herrero, Lorenza Alvarez, Baldaque-Silva, Francisco, Barret, Maximilien, Bergman, Jacques J., Beyna, Torsten, Bisschops, Raf, Boers, Tim G., Curvers, Wouter, Deprez, Pierre H., Duits, Lucas C., Elbe, Peter, Esteban, Jose Miguel, Falk, Gary W., Fockens, Kiki N., Ginsberg, Gregory G., de Groof, Albert J., Haidry, Rehan, Houben, Martin H., Infantolino, Anthony, Iyer, Prasad G., Jong, Martijn, Jonge, Pieter-Jan de, Jukema, Jelmer B., Koch, Arjun, Komanduri, Srinadh, Konda, Vani, Kusters, Koen C., Leclerq, Philippe, Leggett, Cadman L., Lightdale, Charles J., Mallant-Hent, Rosalie C., Villarejo, Guiomar Moral, Fernández-Sordo, Jacobo Ortiz, Pech, Oliver, Penman, Ian, Pouw, Roos E., van der Putten, Joost A., Ragunath, Krish, Scholten, Pieter, Seewald, Stefan, Sethi, Amritha, Smith, Michael S., van der Sommen, Fons, Trindade, Arvind, Wani, Sachin, Waxman, Irving, Westerhof, Jessie, Weusten, Bas L., de With, Peter H., Wolfsen, Herbert C.

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Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy von den Boer, R B, Jaspers, T J M, de Jongh, C, Pluim, J P W, van der Sommen, F, Boers, T, van Hillegersberg, R, Van Eijnatten, M A J M, Ruurda, J P

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Appropriate trust in artificial intelligence for the optical diagnosis of colorectal polyps: the role of human/artificial intelligence interaction von van der Zander, Quirine E.W., Roumans, Rachel, Kusters, Carolus H.J., Dehghani, Nikoo, Masclee, Ad A.M., de With, Peter H.N., van der Sommen, Fons, Snijders, Chris C.P., Schoon, Erik J.

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MIMO Instantaneous Blind Identification Based on Second-Order Temporal Structure von van de Laar, J., Moonen, M., Sommen, P.

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A deep learning system for detection of early Barrett's neoplasia: a model development and validation study von Fockens, K N, Jong, M R, Jukema, J B, Boers, T G W, Kusters, C H J, van der Putten, J A, Pouw, R E, Duits, L C, Montazeri, N S M, van Munster, S N, Weusten, B L A M, Alvarez Herrero, L, Houben, M H M G, Nagengast, W B, Westerhof, J, Alkhalaf, A, Mallant-Hent, R C, Scholten, P, Ragunath, K, Seewald, S, Elbe, P, Baldaque-Silva, F, Barret, M, Ortiz Fernández-Sordo, J, Villarejo, G Moral, Pech, O, Beyna, T, van der Sommen, F, de With, P H, de Groof, A J, Bergman, J J

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Exploiting Acoustic Similarity of Propagating Paths for Audio Signal Separation von Yin, Bin, Sommen, Piet C. W., He, Peiyu

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