 | La fisca, L., Jennebauffe, C., Bruyneel, M., Ris, L., Lefebvre, L., Siebert, X., & Gosselin, B. (2023). Explainable AI for EEG Biomarkers Identification in Obstructive Sleep Apnea Severity Scoring Task. Proceedings IEEE/EMBS Conference on Neural Engineering (NER).  Peer reviewed |
| La Fisca, L., Vandenbulcke, V., Wauthia, E., Miceli, A., Simoes Loureiro, I., Ris, L., Lefebvre, L., Gosselin, B., & Pernet, C. R. (22 November 2022). Biases in BCI experiments: Do we really need to balance stimulus properties across categories? Frontiers in Computational Neuroscience, 16. doi:10.3389/fncom.2022.900571 Peer Reviewed verified by ORBi |
| Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (November 2022). FasterAI: A Lightweight Library for Neural Networks Compression. Electronics, 11 (22), 3789. doi:10.3390/electronics11223789 Peer Reviewed verified by ORBi |
| Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). One-Cycle Pruning: Pruning Convnets With Tight Training Budget. 2022 IEEE International Conference on Image Processing (ICIP). doi:10.1109/icip46576.2022.9897980 Peer reviewed |
 | Mokhtari, M. E. A., Vandenbulcke, V., Laraba, S., Mancas, M., Ennadifi, E., Tazir, M., & Gosselin, B. (2022). Semi-synthetic Data for Automatic Drone Shadow Detection. ESANN. Peer reviewed |
| Ennadifi, E., Dandrifosse, S., Mokhtari, M. E. A., Carlier, A., Laraba, S., Mercatoris, B., & Gosselin, B. (2022). Local Unsupervised Wheat Head Segmentation. ICCP 2022. Peer reviewed |
| La Fisca, L., & Gosselin, B. (12 July 2022). A Hybrid Framework for ERP Preprocessing in EEG Experiments. Poster session presented at 44th International Engineering in Medicine and Biology Conference (EMBC 2022). Peer reviewed |
| Dandrifosse, S.* , Ennadifi, E.* , Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Deep Learning for Wheat Ear Segmentation and Ear Density Measurement: From Heading to Maturity. Computers and Electronics in Agriculture. Peer Reviewed verified by ORBi* These authors have contributed equally to this work. |
| Dandrifosse, S.* , Ennadifi, E.* , Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Contrasted-Fertilization Wheat Ear Dataset 2020. doi:10.5281/zenodo.5709821 * These authors have contributed equally to this work. |
| Dandrifosse, S., Ennadifi, E., Carlier, A., Gosselin, B., Dumont, B., & Mercatoris, B. (2022). Effect of the sun on the measurement of wheat ear density by deep learning. The 15th International Conference on Precision Agriculture. Peer reviewed |
| Kong, P., Mancas, M., Gosselin, B., & Po, K. (June 2022). DeepRare: Generic Unsupervised Visual Attention Models. Electronics, 11 (11), 1696. doi:10.3390/electronics11111696 Peer reviewed |
Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2022). Improve Convolutional Neural Network Pruning by Maximizing Filter Variety. In S. Sclaroff (Ed.), Image Analysis and Processing – ICIAP 2022 - 21st International Conference, 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. doi:10.1007/978-3-031-06427-2_32 Peer reviewed |
Siv, R., Mancas, M., Gosselin, B., Valy, D., & Sreng, S. (2022). People Tracking and Re-Identifying in Distributed Contexts: Extension Study of PoseTReID. In M. Facta (Ed.), Proceedings - 9th International Conference on Electrical Engineering, Computer Science and Informatics, EECSI 2022. Institute of Electrical and Electronics Engineers Inc. doi:10.23919/EECSI56542.2022.9946587 Peer reviewed |
Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (25 November 2021). Introduction to Compression Techniques for Lighter Neural Networks. Paper presented at Workshop Energy4Climate, Paris, France. Peer reviewed |
| Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). Fake-Buster: A Lightweight Solution for Deepfake Detection. Proceedings of SPIE: The International Society for Optical Engineering. Peer reviewed |
| Hubens, N., Mancas, M., Gosselin, B., Preda, M., & Zaharia, T. (2021). One-Cycle Pruning: Pruning ConvNets Under a Tight Training Budget. Paper presented at Sparsity in Neural Networks: Advancing Understanding and Practice, Remote, NULL. |
| La Fisca, L., & Gosselin, B. (27 May 2021). A Versatile Validation Framework for ERP and Oscillatory Brain Source Localization Using FieldTrip. Paper presented at International Conference on Biometric Engineering and Applications, Taiyuan, China. doi:10.1145/3476779.3476781 Peer reviewed |
Siv, R., Mancas, M., Seng, S., Chhun, S., & Gosselin, B. (2020). People Tracking and Re-Identifying in Distributed Contexts: PoseTREID Framework and Dataset. Paper presented at International Conference on Information Technology and Electrical Engineering, Yogyarkarta, Indonesia. |
| Ennadifi, E., Laraba, S., Vincke, D., Mercatoris, B., & Gosselin, B. (2020). Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization. IEEE ISCV2020. Peer reviewed |
Mancas, M., Kong, P., Gosselin, B., & Seng, S. (2020). Visual Attention: Deep Rare Features. Paper presented at International Conference on Imaging, Vision & Pattern Recognition (ICVPR), Fukuoka, Japan. |
La Fisca, L., Dutoit, T., Lefebvre, L., Simoes Loureiro, I., Ris, L., & Gosselin, B. (21 January 2020). Deep Learning based Neurofeedback Targeting Semantic Memory in Alzheimer's Disease. Paper presented at 4th HBP Student Conference on Interdisciplinary Brain Research, Pisa, Italy. |
Hubens, N., Mancas, M., Gosselin, B., Decombas, M., Preda, M., Zaharia, T., & Dutoit, T. (2020). An Experimental Study of the Impact of Pre-Training on the Pruning of a Convolutional Neural Network. Paper presented at APPIS 2020: Proceedings of the 3rd International Conference on Applications of Intelligent Systems, Las Palmas de Gran Canaria, Spain. |
Milisavljevic, A., Le Bras, T., Mancas, M., Petermann, C., Gosselin, B., & Doré-Mazars, K. (2019). Towards a better description of visual exploration through temporal dynamic of ambient and focal modes. Paper presented at ACM Symposium on Eye Tracking Research & Applications, Denver, United States - Colorado. |
| Kong, P., Mancas, M., Nimol, T., Gosselin, B., & seng, K. (2018). DO DEEP-LEARNING SALIENCY MODELS REALLY MODEL SALIENCY? Paper presented at IEEE International Conference on Image Processing, Athens, Greece. |
| Milisavljevic, A., Hammard, A., Petermann, C., Gosselin, B., Doré-Mazars, K., & Mancas, M. (2018). Eye and Mouse coordination during task: from behaviour to prediction. Paper presented at Conference on Human Computer Interaction Theory and Application, Madeira, Portugal. |
| Kong, P., Mancas, M., Gosselin, B., & seng, K. (2018). Generic and Effective Visual Attention. Paper presented at International Conference on Pattern Recognition and Artificial Intelligence, Montreal, Canada. |
| Marighetto, P., Coutrot, A., Riche, N., Guyader, N., Mancas, M., Gosselin, B., & Laganière, R. (2017). Audio-Visual Attention: Eye-Tracking Dataset and Analysis Toolbox. Paper presented at IEEE International Conference on Image Processing, Beijing, China. |
Milisavljevic, A., Doré-Mazars, K., Gosselin, B., Mancas, M., & Petermann, C. (2017). What scroll can teach us about web users? Paper presented at European Conference on Visual Perception, Berlin, Germany. |
| Marighetto, P., Hadj Abdelkader, I., Duzelier, S., Decombas, M., Riche, N., Jakubowicz, J., Mancas, M., Gosselin, B., & Laganière, R. (2016). FuNNRar: Hybrid Rarity/Learning Visual Saliency. Paper presented at IEEE International Conference on Image Processing, Phoenix, United States - Arizona. |
Picart, B., Gosselin, B., Hupez, M., De Grève, Z., & Vallée, F. (2016). Application of Signal Processing Techniques for the Generation of Wind Profiles Dedicated to Electrical System Planning Tools. Paper presented at 51st International Universities' Power Engineering Conference, UPEC 2016, Coimbra, Portugal. |
| Decombas, M., Marighetto, P., Mancas, M., Cassagne, I., Riche, N., Gosselin, B., Dutoit, T., & Laganière, R. (2015). An Evaluation Criterion of Saliency Models for Video Seam Carving. Paper presented at 7th IEEE International Workshop on Multimedia Signal Processing (MMSP2015), Xiamen, China. |
| Leroy, J., Riche, N., Mancas, M., & Gosselin, B. (2015). 3D Saliency Based on Supervoxels Rarity in Point Clouds. Paper presented at Symposium on Attention in Cognitive Systems, Hamburg, Germany. |
| Cassagne, I., Riche, N., Decombas, M., Mancas, M., Gosselin, B., Dutoit, T., & Laganière, R. (2015). Video saliency based on rarity prediction: HYPERAPTOR. Paper presented at 23rd European Signal Processing Conference (EUSIPCO 2015), Nice, France. |
| Rocca, F., De Deken, P.-H., Grisard, F., Mancas, M., & Gosselin, B. (2015). Real-Time Marker-Less Implicit Behavior Tracking for User Profiling in a TV Context. casa 2015 : 28th international conference on computer animation and social agents 2015 - Proceedings Short Papers (ISBN: 978-981-09-4946-4 ). Peer reviewed |
| Rocca, F., Mancas, M., Grisard, F., Leroy, J., Ravet, T., & Gosselin, B. (2015). Head pose estimation & TV Context: current technology. EAI Endorsed Transactions on Creative Technologies. Peer Reviewed verified by ORBi |
| Rocca, F., Mancas, M., & Gosselin, B. (2014). Head Pose Estimation by Perspective-n-Point Solution Based on 2D Markerless Face Tracking. In Intelligent Technologies for Interactive Entertainment. Reidsma, Dennis. |
| Leroy, J., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2014). SuperRare: an Object-oriented Saliency Algorithm Based on Superpixels Rarity. Paper presented at IEEE International Conference on Robotics and Automation (ICRA 2014), Hong Kong, China. |
| Leroy, J., Rocca, F., & Gosselin, B. (2013). Proxemics Measurement During Social Anxiety Disorder Therapy Using a RGBD Sensors Network. Paper presented at MICCAI 2013 workshop on Bio-Imaging and Visualization for Patient-Customized Simulations, Nagoya, Japan. |
| Mibulumukini, M., Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2013). BIOLOGICALLY PLAUSIBLE CONTEXT RECOGNITION ALGORITHMS. Paper presented at ICIP 2013, Melbourne, Australia. |
| Decombas, M., Riche, N., Dufaux, F., Pesquet-Popescu, B., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Spatio-Temporal Saliency Based on Rare Model. Paper presented at ICIP 2013, Melbourne, Australia. |
| Riche, N., Mancas, M., Duvinage, M., Mibulumukini, M., Gosselin, B., & Dutoit, T. (2013). RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis. Signal Processing: Image Communication. Peer Reviewed verified by ORBi |
| Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). Saliency and Human Fixations: State-of-the-art and Study of Comparison Metrics. Paper presented at international Computer Vision, Sydney, Australia. |
| Riche, N., Duvinage, M., Mancas, M., Gosselin, B., & Dutoit, T. (2013). A study of parameters affecting visual saliency assessment. Paper presented at 6th International Symposium on Attention in Cognitive Systems, Beijing, China. |
| Mancas, M., Dutoit, T., D'alessandro, N., Siebert, X., Gosselin, B., & Valderrama, C. (2013). Intelligent Technologies for Interactive Entertainment: 5th International ICST Conference, INTETAIN 2013. Paper presented at 5th International ICST Conference, INTETAIN 2013, Mons, Belgium. |
| Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). 3D Head Pose Estimation for TV Setups. In Intelligent Technologies for Interactive Entertainment. Springer. |
| Leroy, J., Rocca, F., Mancas, M., & Gosselin, B. (2013). Second screen interaction: an approach to infer TV watcher's interest using 3D head pose estimation. Paper presented at LiME, Rio de Janeiro, Brazil. |
Ben Madhkour, R., Mancas, M., & Gosselin, B. (2013). Automatic Geometric projector calibration: Application to a 3D real-time visual feedback. Paper presented at International conference on Computer Vision Theory and Apllications, Barcelona, Spain. |
Ben Madhkour, R., Burczykowski, L., Mancas, M., & Gosselin, B. (2013). Image Surround: Automatic Projector Calibration for Indoor Adaptive Projection. In Intelligent Technologies for Interactive Entertainment (pp. 156-162). Springer. |
Riche, N., Mancas, M., CULIBRK, D., CRNOJEVIC, V., Gosselin, B., & Dutoit, T. (2012). Dynamic saliency models and human attention: a comparative study on videos. Paper presented at Proceedings of the 11th Asian Conference on Computer Vision (ACCV), Daejeon, South Korea. |
Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2012). RARE: a New Bottom-Up Saliency Model. Paper presented at IEEE ICIP, Orlando, United States - Florida. |
Descamps, A., Carincotte, C., & Gosselin, B. (2011). Person Detection for Indoor Videosurveillance using Spatio-Temporal Integral Features. Paper presented at InterHub 2011 : Workshop on Interactive Human Behavior Analysis in Open or Public Spaces, Amsterdam, Netherlands. |
| Mancas, M., Riche, N., Leroy, J., Gosselin, B., & Dutoit, T. (2011). 'Toward a Social Attentive Machine'. Paper presented at AAAI Fall Symposia, Washington, United States - District of Columbia. |
| Mancas, M., Riche, N., Leroy, J., & Gosselin, B. (2011). Abnormal motion selection in crowds using bottom-up saliency. Paper presented at ICIP 2011 : 2011 IEEE International Conference on Image Processing, Bruxelles, Belgium. |
| Riche, N., Mancas, M., Gosselin, B., & Dutoit, T. (2011). 3D Saliency for Abnormal Motion Selection: the Role of the Depth Map. Paper presented at ICVS, Sophia Antipolis, France. |
| Leroy, J., Riche, N., Zajega, F., Mancas, M., Tilmanne, J., Gosselin, B., & Dutoit, T. (2011). The Attentive Machine: be Different! Paper presented at INTETAIN 2011, Genoa, Italy. |
| Leroy, J., Mancas, M., & Gosselin, B. (2011). Personal space augmented reality tool. Paper presented at 32nd WIC Symposium on Information Theory in the Benelux, Université Libre de Bruxelles, Brussels, Belgium. |
Unay, D., Gosselin, B., Kleynen, O., Leemans, V., Destain, M.-F., & Debeir, O. (18 January 2011). Automatic grading of Bi-colored apples by multispectral machine vision. Computers and Electronics in Agriculture, 75 (1), 203-212. Peer Reviewed verified by ORBi |
| Mancas, M., & Gosselin, B. (2010). Dense crowd analysis through bottom-up and top-down attention. Paper presented at Proc. of the Brain Inspired Cognitive Sytems (BICS 2010), Madrid, Spain. |
| Gosselin, B. (2009). Analyse et Traitement Numérique des Images Médicales. |
| Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (2009). Discrimination between normal and pathological voices by using correlations between acoustic descriptors. Paper presented at Advanced Voice Function Assessment Workshop, Madrid, Spain. |
| Demeyer, J., Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (2009). Glottis segmentation with a high-speed glottography : a fully automatic method. Paper presented at Advanced Voice Function Assessment Workshop, Madrid, Spain. |
Linze, N., Kouahou, A., Nkuitang, B., Moeyaert, V., Bette, S., Gosselin, B., & Mégret, P. (2009). Caractérisation des défauts d'une liaison optique basée sur l'analyse du portrait de phase. Paper presented at Journées Nationales d'Optique Guidée, Lille, France. |
| Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (28 May 2009). Selection and combination of acoustic descriptors for the discrimination between normal and pathological speakers. Poster session presented at Pôles d'attraction interuniversitaire/Dynamical systems, control and optimization, Mons, Belgium. |
| Dubuisson, T., Dutoit, T., Gosselin, B., & Remacle, M. (23 April 2009). On the use of the correlation between acoustic descriptors for the normal/pathological voices discrimination. EURASIP Journal on Advances in Signal Processing, 2009. Peer Reviewed verified by ORBi |
Demeyer, J., & Gosselin, B. (12 March 2008). Glottis Segmentation with a Highspeedglottography : a New Approach. Poster session presented at Liège Image Days (1st), Liège, Belgium. |
| Mancas, M., Gosselin, B., & Macq, B. (2008). Attention-based Pathology Visualization in Head and Neck Area. Paper presented at Liège Image Days (1st), Liège, Belgium. |
| Thillou, C., Ferreira, S., Demeyer, J., Minetti, C., & Gosselin, B. (02 January 2008). A Multifonctional Reading Assistant for the Visually Impaired. International Journal of Image and Video Processing, 2. Peer Reviewed verified by ORBi |
| Mancas, M., Gosselin, B., & Macq, B. (01 September 2007). Perceptual Image Representation. International Journal of Image and Video Processing, 2007. Peer Reviewed verified by ORBi |
| Thillou, C., & Gosselin, B. (01 July 2007). Color Text Extraction with Selective Metric-based Clustering. Computer Vision & Image Understanding [=CVIU], 107 (1-2), 97-107. Peer reviewed |
| Thillou, C., & Gosselin, B. (2007). Natural Scene Text Understanding. In Vision Systems - Segmentation & Pattern Recognition (pp. 307-332). I-Tech Education and Publishing. |
| Mancas, M., Unay, D., Gosselin, B., & Macq, B. (2007). Computational Attention for Defect Localisation. Paper presented at A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany. |
| Mancas, M., Gosselin, B., & Macq, B. (2007). A Three-Level Computational Attention Model. Paper presented at A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany. |
| Mancas, M., Couvreur, L., Gosselin, B., & Macq, B. (2007). Computational Attention for Event Detection. Paper presented at A ICVS Workshop on Computational Attention & Applications, Bielefeld, Germany. |
| Dubuisson, T., Dutoit, T., Gosselin, B., Grenez, F., Remacle, M., & Schoentgen, J. (13 March 2007). ECLIPSE, a multimodal analysis of speech pathologies. Poster session presented at Matinée de Chercheurs de la Faculté Polytechnique de Mons, Mons, Belgium. |
| Unay, D., & Gosselin, B. (01 January 2007). Stem and Calyx Recognition on 'Jonagold' Apples by pattern Recognition. Journal of Food Engineering, 78 (2), 597-605. Peer Reviewed verified by ORBi |
| Kostopoulos, K., Moustakas, K., Tzovaras, D., Nikolakis, G., Thillou, C., & Gosselin, B. (01 January 2007). Haptic Access to Conventional 2D Maps for the Visually Impaired. Journal on Multimodal User Interfaces, 2 (1), 13-19. Peer Reviewed verified by ORBi |
| Dubuisson, T., Dutoit, T., Gosselin, B., Grenez, F., Remacle, M., & Schoentgen, J. (02 November 2006). ECLIPSE, a multimodal analysis of speech pathologies. Paper presented at Similar Meeting, Dublin, Ireland. |
| Thillou, C., & Gosselin, B. (2006). Spatial and Color Spaces Combination for Natural Scene Text Extraction. Paper presented at IEEE International Conference on Image Processing, Atlanta, United States - Georgia. |
| Thillou, C., & Gosselin, B. (2006). Character Segmentation-by-Recognition Using Log-Gabor Filters. Paper presented at ICPR 2006 - IAPR International Conference on Pattern Recognition, Hong-Kong, China. |
| Unay, D., & Gosselin, B. (2006). Apple Defect Segmentation by Artificial Neural Networks. Paper presented at BeNeLux Conference on Artificial Intelligence, Namur, Belgium. |
| Unay, D., & Gosselin, B. (2006). Automatic Defect Segmentation of 'Jonagold' Apples on Multi-Spectral Images: A Comparative Study. Postharvest Biology and Technology. Peer Reviewed verified by ORBi |
| Unay, D., Debeir, O., & Gosselin, B. (2006). Apple Stem and Calyx Recognition by Decision Trees. Paper presented at IASTED Visualization, Imaging and Image Processing Conference, Palma de Mallorca, Spain. |
| Thillou, C., Ferreira, S., & Gosselin, B. (01 May 2005). An Embedded Application for Degraded Text Recognition. EURASIP Journal on Applied Signal Processing, 13, 2127-2135. Peer reviewed |
| Ferreira, S., Garin, V., & Gosselin, B. (2005). A Text Detection Technique Applied in the Framework of a Mobile Camera-Based Application. Paper presented at Proc. of Camera-based Document Analysis and Recognition (CBDAR 2005), workshop of ICDAR, Seoul, South Korea. |
| Thillou, C., & Gosselin, B. (2005). Color Text Extraction from Camera-based Images - the Impact of the Choice of the Clustering Distance. Paper presented at IEEE International Conference on Documents Analysis and Recognition (ICDAR 2005) Seoul, Corée, Seoul, South Korea. |
| Gaudissart, V., Ferreira, S., Thillou, C., & Gosselin, B. (2005). Sypole: a Mobile Assistant for the Blind. Paper presented at EUSIPCO 2005, Antalya, Turkey. |
| Gosselin, B., Mancas, M., & Macq, B. (2005). Tumor Detection using Airways Asymmetry. Paper presented at IEEE EMBC, Shangaï, China. |
| Thillou, C., Mancas, M., & Gosselin, B. (2005). Camera-based Degraded Character Segmentation into Individual Components. Paper presented at IEEE International Conference on Documents Analysis and Recognition (ICDAR 2005) Seoul, Corée, Seoul, South Korea. |
| Mancas, M., Gosselin, B., & Macq, B. (2005). Fast and Automatic Tumoral Area Localisation Using Symmetry. Paper presented at IEEE ICASSP Conference, Philadelphia, United States - Pennsylvania. |
| Thillou, C., & Gosselin, B. (2005). Color Binarization for complex Camera-based Images. Paper presented at Electronic Imaging Conference of the Internatiional Society for Optical Imaging, San Jose, United States. |
| Unay, D., & Gosselin, B. (2005). Thresholding-based Segmentation and Apple Grading by Machine Vision. Paper presented at EUSIPCO 2005, Antalya, Turkey. |
| Mancas, M., Gosselin, B., & Macq, B. (2005). Segmentation Using a Region Growing Thresholding. Paper presented at Electronic Imaging Conference of the Internatiional Society for Optical Imaging, San Jose, United States. |
| Unay, D., & Gosselin, B. (2005). Artificial Neural Network-based Segmentation and Apple Grading by Machine Vision. Paper presented at IEEE ICIP 2005, Gênes, Italy. |
| Thillou, C., Gosselin, B., & Mancas, M. (2005). Segmentation en Caractères Individuels dans des Images de Scènes Naturelles. Paper presented at GRETSI Conference, Louvain-la-Neuve, Belgium. |
| Sebbe, R., Gosselin, B., Coche, E., & Macq, B. (01 January 2004). Détection automatique de l'embolie pulmonaire. Poster session presented at Colloque Sciences en Sologne 2004, Sologne, France. |
Mancas, M., & Gosselin, B. (2004). Iterative watersheds: a novel fuzzy segmentation technique. Paper presented at Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California. |
| Unay, D., & Gosselin, B. (2004). Stem-end/Calyx Detection in Apple Fruits: Comparison of Feature Selection Methods and Classifiers. Paper presented at International Conference on Computer Vision and Graphics, Varsovie, Poland. |
| Unay, D., & Gosselin, B. (2004). A Quality Sorting Method For `Jonagold` Apples. Paper presented at AgEng Engineering the Future (International Conference of Agricultural Engineering), Leuven, Belgium. |
| Mancas, M., & Gosselin, B. (2004). Towards an automatic tumor segmentation using iterative watersheds. Paper presented at Medical Imaging Conference of the International Society for Optical Imaging, San Diego, United States - California. |
| Thillou, C., & Gosselin, B. (2004). Robust thresholding based on wavelets and thinning algorithms for degraded camera images. Paper presented at IEEE ACIVS 2004, Bruxelles, Belgium. |
| Mancas, M., Gosselin, B., & Macq, B. (2004). Automatic Fast Detection of Tumor suspect areas on CT Scan. Paper presented at IEEE VIS 2004 Conference, Austin, United States - Texas. |
| Gaudissart, V., Ferreira, S., Thillou, C., & Gosselin, B. (2004). Mobile Reading Assistant for Blind People. Paper presented at 9th International Conference on Speech and Computer, Saint Petersburg, Russia. |
| Luijkx, A., Thillou, C., & Gosselin, B. (2004). A Prolongation-based Approach for Recognizing Cut Characters. Paper presented at International Conference on Computer Vision and Graphics, Varsovie, Poland. |
| Unay, D., & Gosselin, B. (2004). An Approach for Recognizing Stem-end/Calyx regions in Apple Quality Sorting. Paper presented at ACIVS Conference (Advanced Concepts for Intelligent Vision Systems), Bruxelles, Belgium. |
| Mancas, M., Gosselin, B., & Macq, B. (2004). Risk Areas Segmentation for Radiotherapy Planning using Distance Maps. Paper presented at Optical Imaging at the NIH, Washington DC, United States - District of Columbia. |
| Unay, D., & Gosselin, B. (2004). A Quality Grading Approach for 'Jonagold' Apples. Paper presented at 4th IEEE Benelux Signal Processing Symposium, Hilvarenbeek, Netherlands. |
| Thillou, C., & Gosselin, B. (2004). Combination of Binarization and Charater Segmentation using Color Information. Paper presented at IEEE Symposium on Signal Processing and Information Technology, Rome, Italy. |
| Thillou, C., & Gosselin, B. (2004). Segmentation-based Binarization for Color Degraded Images. Paper presented at International Conference on Computer Vision and Graphics, Varsovie, Poland. |
| Ferreira, S., Thillou, C., & Gosselin, B. (2003). From Picture to speech: an innovative OCR application for embedded environment. Paper presented at 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands. |
| Mancas, M., & Gosselin, B. (2003). Fuzzy Tumor Segmentation based on Iterative Watersheds. Paper presented at 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands. |
| Gosselin, B., & Unay, D. (2003). A Study on Quality Grading of 'Jonagold' Apples. Paper presented at IEEE ISSPIT Symposium on Signal Processing and Information Technology, Darmstadt, Germany. |
| Sebbe, R., Coche, E., Gosselin, B., & Macq, B. (2003). Pulmonary Arteries Segmentation and Feature Extraction through Slice Marching. Paper presented at 14th Pro RISC workshop on Circuits, Systems and Signal Processing, Veldhoven, Netherlands. |
| Sebbe, R., Coche, E., & Gosselin, B. (01 January 2003). Segmentation de l'arborescence artérielle pulmonaire par blocs. Paper presented at Journées Françaises de Radiologie, Paris, France. |
| Mancas, M., & Gosselin, B. (2003). Iterative Watersheds and Fuzzy Tumor Visualization. Paper presented at IEEE Visualization Conference, Seattle, United States - Washington. |
| Unay, D., & Gosselin, B. (2002). Apple Defect Detection and Quality Classification with MLP-Neural Networks. Paper presented at IEEE ProRisc2002, Eindhoven, Netherlands. |
| Gosselin, B., & Paggiaro, A. (1999). A study of Hidden Markov Models for Off-Line Recognition of Handwritten Characters. Paper presented at ProRISC'99, Mierlo, Netherlands. |
| Gosselin, B. (1998). Enhancing handwritten character images thanks to a re-sampling process based on convex hull extraction. Paper presented at EUSIPCO 1998, Rhodes, Greece. |
| Gosselin, B. (1998). Amélioration d'images de caractères manuscrits par ré-échantillonnage basé sur l'extraction du polygone convexe. Paper presented at Réunion des Théoriciens des Circuits de Langue Française 1998, Brest, France. |
| Gosselin, B. (1997). Improved Hand-written Character Recognition thanks to a New Geometric Distortion Method. Paper presented at 6th the Int. Conf. On Image Processing and its Applications, Dublin, Ireland. |
| Gosselin, B. (1997). Conditional Combination of Neural Nets Classifiers for Handwritten Character Recognition. Paper presented at WIAMIS, Louvain-la-Neuve, Belgium. |
| Gosselin, B. (1997). On the Combination of Neural Nets Classifiers for Handwritten Character Recognition. Paper presented at IWSSIP, Poznan, Poland. |
Gosselin, B. (1997). Cooperation of Multilayer Perceptron Classifiers. Paper presented at 8th Workshop on Circuits, Systems and Signal Processing, Mierlo, Netherlands. |
| Gosselin, B. (1996). Coopération Optimisée de Réseaux de Neurones pour la Reconnaissance de Caractères Manuscrits. Paper presented at 10ème Congrès Reconnaissance des Formes et Intelligence Artificielle, Rennes, France. |
| Gosselin, B. (01 January 1996). Multilayer Perceptrons Combination Applied to Handwritten Character Recognition. Pattern Recognition Letters, 3, 3-10. Peer Reviewed verified by ORBi |
| Gosselin, B. (1996). Optimal Neural Networks Combination for Handwritten Characters Recognition. Paper presented at EUSIPCO, Trieste, Italy. |
| Gosselin, B. (1995). Neural Networks Combination for Improved Handwritten Characters Recognition. Paper presented at Int. Conf. on Signal and Image Processing, Las Vegas, United States - Nevada. |
Gosselin, B. (1994). A comparison of different feature extractors for handwritten character recognition. Paper presented at Proceedings of the workshop on circuits, system and signal processing - Prorisc, Mierlo, Netherlands. |
Gosselin, B. (1994). Handwritten Characters Recognition Using Neural Networks. Paper presented at BIVA Seminar on Image Processing and Interpretation Techniques, Leuven, Belgium. |
Gosselin, B. (1994). Handwritten Characters Recognition Using Neural Networks. Paper presented at URSI Forum, Louvain-la-Neuve, Belgium. |
Gosselin, B. (1993). Multilayer Perceptron and Uppercase Handwritten Character Recognition. Paper presented at 2nd International Conference on Document Analysis and Recognition, Tsukuba, Japan. |
Gosselin, B. (1991). Boolean neural network applied to the recognition of typographic characters. Paper presented at 1st International Conference on Document Analysis and Recognition, Saint-Malo, France. |