Search Results - "van der Sommen, F."

Deep learning-based recognition of key anatomical structures during robot-assisted minimally invasive esophagectomy by 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.

“…Objective To develop a deep learning algorithm for anatomy recognition in thoracoscopic video frames from robot-assisted minimally invasive esophagectomy…”
Get full text

Deep-Learning System Detects Neoplasia in Patients With Barrett’s Esophagus With Higher Accuracy Than Endoscopists in a Multistep Training and Validation Study With Benchmarking by de Groof, Albert J., Struyvenberg, Maarten R., van der Putten, Joost, van der Sommen, Fons, Fockens, Kiki N., Curvers, Wouter L., Zinger, Sveta, Pouw, Roos E., Coron, Emmanuel, Baldaque-Silva, Francisco, Pech, Oliver, Weusten, Bas, Meining, Alexander, Neuhaus, Horst, Bisschops, Raf, Dent, John, Schoon, Erik J., de With, Peter H., Bergman, Jacques J.

“…We aimed to develop and validate a deep-learning computer-aided detection (CAD) system, suitable for use in real time in clinical practice, to improve…”
Get full text

A computer-assisted algorithm for narrow-band imaging-based tissue characterization in Barrett’s esophagus by Struyvenberg, Maarten R., de Groof, Albert J., van der Putten, Joost, van der Sommen, Fons, Baldaque-Silva, Francisco, Omae, Masami, Pouw, Roos, Bisschops, Raf, Vieth, Michael, Schoon, Erik J., Curvers, Wouter L., de With, Peter H., Bergman, Jacques J.

“…The endoscopic evaluation of narrow-band imaging (NBI) zoom imagery in Barrett’s esophagus (BE) is associated with suboptimal diagnostic accuracy and poor…”
Get full text

Hyperspectral Imaging for Glioblastoma Surgery: Improving Tumor Identification Using a Deep Spectral-Spatial Approach by Manni, Francesca, van der Sommen, Fons, Fabelo, Himar, Zinger, Svitlana, Shan, Caifeng, Edström, Erik, Elmi-Terander, Adrian, Ortega, Samuel, Marrero Callicó, Gustavo, de With, Peter H N

“…The primary treatment for malignant brain tumors is surgical resection. While gross total resection improves the prognosis, a supratotal resection may result…”
Get full text

Supportive automatic annotation of early esophageal cancer using local gabor and color features by van der Sommen, F., Zinger, S., Schoon, E.J., de With, P.H.N.

Get full text

Improved Barrett's neoplasia detection using computer-assisted multiframe analysis of volumetric laser endomicroscopy by Struyvenberg, M R, van der Sommen, F, Swager, A F, de Groof, A J, Rikos, A, Schoon, E J, Bergman, J J, de With, P H N, Curvers, W L

“…SUMMARY Volumetric laser endomicroscopy (VLE) is a balloon-based technique, which provides a circumferential near-microscopic scan of the esophageal wall…”
Get full text

Towards Optical Imaging for Spine Tracking without Markers in Navigated Spine Surgery by Manni, Francesca, Elmi-Terander, Adrian, Burström, Gustav, Persson, Oscar, Edström, Erik, Holthuizen, Ronald, Shan, Caifeng, Zinger, Svitlana, van der Sommen, Fons, de With, Peter H N

“…Surgical navigation systems are increasingly used for complex spine procedures to avoid neurovascular injuries and minimize the risk for reoperations. Accurate…”
Get full text

Hyperspectral Imaging for Skin Feature Detection: Advances in Markerless Tracking for Spine Surgery by Manni, Francesca, van der Sommen, Fons, Zinger, Svitlana, Shan, Caifeng, Holthuizen, Ronald, Lai, Marco, Bustrom, Gustav, Hoveling, Richelle J.M, Edstrom, Erik, Elmi-Terander, Adrian, de With, Peter H.N

“…In spinal surgery, surgical navigation is an essential tool for safe intervention, including the placement of pedicle screws without injury to nerves and blood…”
Get full text

Evaluating Self-Supervised Learning Methods for Downstream Classification of Neoplasia in Barrett's Esophagus by Cornelissen, S., van der Putten, J.A., Boers, T. G. W., Jukema, J.B., Fockens, K.N., Bergman, J.J.G.H.M., van der Sommen, F., de With, P.H.N.

“…A major problem in applying machine learning for the medical domain is the scarcity of labeled data, which results in the demand for methods that enable…”
Get full text

Cancer Detection in Mass Spectrometry Imaging Data by Recurrent Neural Networks by Zanjani, F. Ghazvinian, Panteli, A., Zinger, S., Sommen, F. van der, Tan, T., Balluff, B., Vos, D. R. N., Ellis, S. R., Heeren, R. M. A., Lucas, M., Marquering, H. A., Jansen, I., Savci-Heijink, C. D., de Bruin, D. M., de With, P. H. N.

“…Mass spectrometry imaging (MSI) reveals the localization of a broad scale of compounds ranging from metabolites to proteins in biological tissues. This makes…”
Get full text

Endoscopy-Driven Pretraining for Classification of Dysplasia in Barrett’s Esophagus with Endoscopic Narrow-Band Imaging Zoom Videos by van der Putten, Joost, Struyvenberg, Maarten, de Groof, Jeroen, Curvers, Wouter, Schoon, Erik, Baldaque-Silva, Francisco, Bergman, Jacques, van der Sommen, Fons, de With, Peter H.N

“…Endoscopic diagnosis of early neoplasia in Barrett’s Esophagus is generally a two-step process of primary detection in overview, followed by detailed…”
Get full text

Automatic assessment of informative frames in endoscopic video by van Dongen, N. C., van der Sommen, F., Zinger, S., Sekoon, E. J., de With, P. H. N.

“…Recently, studies have proven the feasibility of Computer-Aided Detection (CAD) systems for the early detection of esophageal cancer, exploiting the…”
Get full text

On computing a longest path in a tree by Bulterman, R.W., van der Sommen, F.W., Zwaan, G., Verhoeff, T., van Gasteren, A.J.M., Feijen, W.H.J.

“…An exercise in proof design is presented. Such design consists in isolating the relevant concepts for the problem at hand, introducing special-purpose notation…”
Get full text

COMPUTER-AIDED DIAGNOSIS (CADX) IMPROVES CHARACTERIZATION OF BARRETT’S NEOPLASIA BY ENDOSCOPISTS by Jukema, Jelmer, Kusters, Koen, Jong, Martijn, Fockens, Kiki, Boers, Tim, Van Der Putten, Joost, Pouw, Roos, Duits, Lucas, Weusten, Bas, Herrero, L. Alvarez, Houben, Martin, Nagengast, Wouter, Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, Bergman, Jacques

Get full text

VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM IMPROVES BARRETT’S NEOPLASIA DETECTION OF GENERAL ENDOSCOPISTS IN A MULTI-STEP BENCHMARKING STUDY by Jong, Martijn, Fockens, Kiki, Jukema, Jelmer, Boers, Tim, Kusters, Koen, Van Der Putten, Joost, Pouw, Roos, Duits, Lucas, Weusten, Bas, Herrero, L. Alvarez, Houben, Martin, Nagengast, Wouter, Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, Bergman, Jacques

Get full text

VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM DETECTS BARRETT’S NEOPLASIA WITH HIGH ACCURACY DURING LIVE ENDOSCOPIC PROCEDURES: A MULTI-CENTER PILOT AND FEASIBILITY STUDY by Fockens, Kiki, Jukema, Jelmer, Jong, Martijn, Boers, Tim, Kusters, Koen, Van Der Putten, Joost, Pouw, Roos, Duits, Lucas, Weusten, Bas, Herrero, L. Alvarez, Houben, Martin, Nagengast, Wouter, Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, Bergman, Jacques

Get full text

VIDEO-BASED COMPUTER AIDED DETECTION SYSTEM DETECTS BARRETT’S NEOPLASIA WITH HIGH ACCURACY DURING LIVE ENDOSCOPIC PROCEDURES: A MULTI-CENTER PILOT AND FEASIBILITY STUDY by Fockens, Kiki, Jukema, Jelmer, Jong, Martijn, Boers, Tim, Kusters, Koen, Van Der Putten, Joost, Pouw, Roos, Duits, Lucas, Weusten, Bas, Herrero, L. Alvarez, Houben, Martin, Nagengast, Wouter, Westerhof, Jessie, Alkhalaf, A., Mallant-Hent, Rosalie, Scholten, Pieter, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Baldaque-Silva, Francisco, Barret, Maximilien, Fernández-Sordo, Jacobo Ortiz, Villarejo, Guiomar Moral, Pech, Oliver, Beyna, Torsten, Van Der Sommen, Fons, De With, P.H.N., De Groof, Jeroen, Bergman, Jacques

Get full text

Towards a robust and compact deep learning system for primary detection of early Barrett’s neoplasia: Initial image‐based results of training on a multi‐center retrospectively collected data set by Fockens, Kiki N., Jukema, Jelmer B., Boers, Tim, Jong, Martijn R., Putten, Joost A., Pouw, Roos E., Weusten, Bas L. A. M., Alvarez Herrero, Lorenza, Houben, Martin H. M. G., Nagengast, Wouter B., Westerhof, Jessie, Alkhalaf, Alaa, Mallant, Rosalie, Ragunath, Krish, Seewald, Stefan, Elbe, Peter, Barret, Maximilien, Ortiz Fernández‐Sordo, Jacobo, Pech, Oliver, Beyna, Torsten, Sommen, Fons, With, Peter H., Groof, A. Jeroen, Bergman, Jacques J.

“…Introduction Endoscopic detection of early neoplasia in Barrett's esophagus is difficult. Computer Aided Detection (CADe) systems may assist in neoplasia…”
Get full text

Supportive automatic annotation of early esophageal cancer using local gabor and color features : Advanced Computing for Image-Guided Intervention by VAN DER SOMMEN, F, ZINGER, S, SCHOON, E. J, DE WITH, P. H. N

Get full text

Analysis of the interrelationship between houses, trees and damage in a cyclone affected city: Can landscape design and planning utilising trees minimise cyclone impact? by Van der Sommen, F.J., Pearson, D.M., Boggs, G.S.

“…Under scenarios of climate change the likelihood of more intensive extreme weather events like tropical cyclones is expected to increase and many tropical…”
Get full text