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Vincent Andrearczyk
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2020 – today
- 2024
- [i17]Kudaibergen Abutalip, Numan Saeed, Ikboljon Sobirov, Vincent Andrearczyk, Adrien Depeursinge, Mohammad Yaqub:
EDUE: Expert Disagreement-Guided One-Pass Uncertainty Estimation for Medical Image Segmentation. CoRR abs/2403.16594 (2024) - [i16]Federico Spagnolo, Nataliia Molchanova, Roger Schaer, Meritxell Bach Cuadra, Mario Ocampo-Pineda, Lester Melie-García, Cristina Granziera, Vincent Andrearczyk, Adrien Depeursinge:
Instance-level quantitative saliency in multiple sclerosis lesion segmentation. CoRR abs/2406.09335 (2024) - 2023
- [j10]Mara Graziani
, Lidia Dutkiewicz, Davide Calvaresi, José Pereira Amorim
, Katerina Yordanova, Mor Vered
, Rahul Nair, Pedro Henriques Abreu
, Tobias Blanke
, Valeria Pulignano, John O. Prior, Lode Lauwaert, Wessel Reijers, Adrien Depeursinge
, Vincent Andrearczyk, Henning Müller
:
A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artif. Intell. Rev. 56(4): 3473-3504 (2023) - [j9]Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Olena Tankyevych, Hesham Elhalawani
, Mario Jreige
, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt
, Adrien Depeursinge
:
Automatic Head and Neck Tumor segmentation and outcome prediction relying on FDG-PET/CT images: Findings from the second edition of the HECKTOR challenge. Medical Image Anal. 90: 102972 (2023) - [j8]Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk:
Uncovering Unique Concept Vectors through Latent Space Decomposition. Trans. Mach. Learn. Res. 2023 (2023) - [c29]Laura O'Mahony, Vincent Andrearczyk, Henning Müller
, Mara Graziani:
Disentangling Neuron Representations with Concept Vectors. CVPR Workshops 2023: 3770-3775 - [c28]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano
, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella
, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge, Reuben Dorent
, Jan Egger, David G. Ellis, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller
, Alessa Hering, Arnaud Huaulmé, Pierre Jannin
, A. Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, Jonathan Rafael-Patino, Vivek Singh Bawa, Stefanie Speidel
, Carole H. Sudre
, Kimberlin M. H. van Wijnen, Martin Wagner
, D. Wei, Amine Yamlahi, Moi Hoon Yap, C. Yuan, Maximilian Zenk, A. Zia, David Zimmerer, Dogu Baran Aydogan, Binod Bhattarai
, Louise Bloch
, Raphael Brüngel
, J. Cho, C. Choi, Q. Dou, Ivan Ezhov, Christoph M. Friedrich
, C. Fuller, Rebati Raman Gaire, Adrian Galdran, Álvaro García-Faura, Maria Grammatikopoulou, S. Hong, Mostafa Jahanifar, I. Jang, Abdolrahim Kadkhodamohammadi, I. Kang, Florian Kofler, S. Kondo, Hugo Jaco Kuijf, M. Li, M. Luu, Tomaz Martincic, Pedro Morais, Mohamed A. Naser
, Bruno Oliveira, David Owen
, S. Pang, J. Park, S. Park, Szymon Plotka, Élodie Puybareau, Nasir M. Rajpoot, K. Ryu, Numan Saeed, Adam Shephard, Pengcheng Shi, Dejan Stepec, Ronast Subedi, Guillaume Tochon, Helena R. Torres, Hélène Urien, João L. Vilaça
, Kareem A. Wahid
, H. Wang, J. Wang, L. Wang, X. Wang, Benedikt Wiestler, Marek Wodzinski
, F. Xia, J. Xie, Z. Xiong, S. Yang, Y. Yang, Z. Zhao, Klaus H. Maier-Hein, Paul F. Jäger, Annette Kopp-Schneider, Lena Maier-Hein:
Why is the Winner the Best? CVPR 2023: 19955-19966 - [c27]Victor Contreras
, Andrea Bagante, Niccolò Marini
, Michael Schumacher
, Vincent Andrearczyk
, Davide Calvaresi
:
Explanation Generation via Decompositional Rules Extraction for Head and Neck Cancer Classification. EXTRAAMAS 2023: 187-211 - [e3]Vincent Andrearczyk
, Valentin Oreiller
, Mathieu Hatt
, Adrien Depeursinge
:
Head and Neck Tumor Segmentation and Outcome Prediction - Third Challenge, HECKTOR 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science 13626, Springer 2023, ISBN 978-3-031-27419-0 [contents] - [i15]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Sharib Ali
, Vincent Andrearczyk, Marc Aubreville, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Veronika Cheplygina, Marie Daum, Marleen de Bruijne, Adrien Depeursinge
, Reuben Dorent, Jan Egger, David G. Ellis
, Sandy Engelhardt, Melanie Ganz, Noha M. Ghatwary, Gabriel Girard, Patrick Godau, Anubha Gupta
, Lasse Hansen, Kanako Harada, Mattias P. Heinrich, Nicholas Heller
, Alessa Hering, Arnaud Huaulmé, Pierre Jannin, Ali Emre Kavur, Oldrich Kodym, Michal Kozubek, Jianning Li, Hongwei Bran Li, Jun Ma, Carlos Martín-Isla, Bjoern H. Menze, J. Alison Noble, Valentin Oreiller, Nicolas Padoy, Sarthak Pati, Kelly Payette, Tim Rädsch, et al.:
Why is the winner the best? CoRR abs/2303.17719 (2023) - [i14]Laura O'Mahony, Vincent Andrearczyk, Henning Müller
, Mara Graziani:
Disentangling Neuron Representations with Concept Vectors. CoRR abs/2304.09707 (2023) - [i13]Mara Graziani, Laura O'Mahony, An-Phi Nguyen, Henning Müller, Vincent Andrearczyk:
Uncovering Unique Concept Vectors through Latent Space Decomposition. CoRR abs/2307.06913 (2023) - [i12]Jianning Li, Antonio Pepe, Christina Gsaxner, Gijs Luijten, Yuan Jin, Narmada Ambigapathy, Enrico Nasca, Naida Solak, Gian Marco Melito
, Afaque R. Memon, Xiaojun Chen, Jan Stefan Kirschke, Ezequiel de la Rosa, Patrick Ferdinand Christ, Hongwei Bran Li, David G. Ellis, Michele R. Aizenberg, Sergios Gatidis, Thomas Küstner, Nadya Shusharina, Nicholas Heller
, Vincent Andrearczyk, Adrien Depeursinge
, Mathieu Hatt, Anjany Sekuboyina, Maximilian Löffler, Hans Liebl, Reuben Dorent, Tom Vercauteren, Jonathan Shapey, Aaron Kujawa, Stefan Cornelissen
, Patrick Langenhuizen, Achraf Ben-Hamadou, Ahmed Rekik, Sergi Pujades, Edmond Boyer, Federico Bolelli, Costantino Grana, Luca Lumetti, Hamidreza Salehi, Jun Ma, Yao Zhang, Ramtin Gharleghi, Susann Beier
, Arcot Sowmya, Eduardo A. Garza-Villarreal, Thania Balducci, et al.:
MedShapeNet - A Large-Scale Dataset of 3D Medical Shapes for Computer Vision. CoRR abs/2308.16139 (2023) - 2022
- [j7]Valentin Oreiller, Vincent Andrearczyk, Mario Jreige
, Sarah Boughdad, Hesham Elhalawani
, Joël Castelli, Martin Vallières, Simeng Zhu
, Juanying Xie, Ying Peng, Andrei Iantsen, Mathieu Hatt
, Yading Yuan, Jun Ma
, Xiaoping Yang, Chinmay Rao, Suraj Pai, Kanchan Ghimire, Xue Feng, Mohamed A. Naser
, Clifton D. Fuller
, Fereshteh Yousefirizi
, Arman Rahmim, Huai Chen, Lisheng Wang
, John O. Prior
, Adrien Depeursinge
:
Head and neck tumor segmentation in PET/CT: The HECKTOR challenge. Medical Image Anal. 77: 102336 (2022) - [c26]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Joël Castelli, John O. Prior
, Adrien Depeursinge
:
Segmentation and Classification of Head and Neck Nodal Metastases and Primary Tumors in PET/CT. EMBC 2022: 4731-4735 - [c25]Vincent Andrearczyk, Valentin Oreiller, Moamen Abobakr, Azadeh Akhavanallaf, Panagiotis Balermpas
, Sarah Boughdad, Leo Capriotti, Joël Castelli, Catherine Cheze Le Rest, Pierre Decazes, Ricardo Correia, Dina El-Habashy, Hesham Elhalawani
, Clifton D. Fuller, Mario Jreige, Yomna Khamis, Agustina La Greca Saint-Esteven, Abdallah Sherif Radwan Mohamed
, Mohamed A. Naser
, John O. Prior
, Su Ruan, Stephanie Tanadini-Lang
, Olena Tankyevych, Yazdan Salimi, Martin Vallières, Pierre Vera, Dimitris Visvikis, Kareem A. Wahid
, Habib Zaidi, Mathieu Hatt
, Adrien Depeursinge
:
Overview of the HECKTOR Challenge at MICCAI 2022: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT. HECKTOR@MICCAI 2022: 1-30 - [c24]Valentin Oreiller, Julien Fageot, Vincent Andrearczyk, John O. Prior, Adrien Depeursinge
:
Robust Multi-Organ Nucleus Segmentation Using a Locally Rotation Invariant Bispectral U-Net. MIDL 2022: 929-943 - [e2]Vincent Andrearczyk
, Valentin Oreiller
, Mathieu Hatt
, Adrien Depeursinge
:
Head and Neck Tumor Segmentation and Outcome Prediction - Second Challenge, HECKTOR 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings. Lecture Notes in Computer Science 13209, Springer 2022, ISBN 978-3-030-98252-2 [contents] - [i11]Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. CoRR abs/2201.04138 (2022) - [i10]Matthias Eisenmann, Annika Reinke, Vivienn Weru, Minu Dietlinde Tizabi, Fabian Isensee, Tim J. Adler, Patrick Godau, Veronika Cheplygina, Michal Kozubek, Sharib Ali
, Anubha Gupta
, Jan Kybic, J. Alison Noble, Carlos Ortiz-de-Solórzano, Samiksha Pachade, Caroline Petitjean, Daniel Sage, Donglai Wei, Elizabeth Wilden, Deepak Alapatt, Vincent Andrearczyk, Ujjwal Baid, Spyridon Bakas, Niranjan Balu, Sophia Bano
, Vivek Singh Bawa, Jorge Bernal, Sebastian Bodenstedt, Alessandro Casella, Jinwook Choi, Olivier Commowick, Marie Daum, Adrien Depeursinge
, Reuben Dorent, Jan Egger, Hannah Eichhorn, Sandy Engelhardt, Melanie Ganz, Gabriel Girard, Lasse Hansen, Mattias P. Heinrich, Nicholas Heller
, Alessa Hering, Arnaud Huaulmé, Hyunjeong Kim, Bennett A. Landman, Hongwei Bran Li, Jianning Li, Jun Ma, Anne L. Martel, et al.:
Biomedical image analysis competitions: The state of current participation practice. CoRR abs/2212.08568 (2022) - 2021
- [j6]Mara Graziani
, Thomas Lompech, Henning Müller
, Adrien Depeursinge
, Vincent Andrearczyk
:
On the Scale Invariance in State of the Art CNNs Trained on ImageNet. Mach. Learn. Knowl. Extr. 3(2): 374-391 (2021) - [c23]Daniel Abler
, Vincent Andrearczyk
, Valentin Oreiller
, Javier Barranco Garcia
, Diem Vuong
, Stephanie Tanadini-Lang
, Matthias Guckenberger
, Mauricio Reyes
, Adrien Depeursinge
:
Comparison of MR Preprocessing Strategies and Sequences for Radiomics-Based MGMT Prediction. BrainLes@MICCAI (2) 2021: 367-380 - [c22]Vincent Andrearczyk, Valentin Oreiller, Sarah Boughdad, Catherine Cheze Le Rest, Hesham Elhalawani
, Mario Jreige, John O. Prior, Martin Vallières, Dimitris Visvikis, Mathieu Hatt, Adrien Depeursinge
:
Overview of the HECKTOR Challenge at MICCAI 2021: Automatic Head and Neck Tumor Segmentation and Outcome Prediction in PET/CT Images. HECKTOR@MICCAI 2021: 1-37 - [c21]Pierre Fontaine, Vincent Andrearczyk, Valentin Oreiller, Joël Castelli, Mario Jreige
, John O. Prior, Adrien Depeursinge
:
Fully Automatic Head and Neck Cancer Prognosis Prediction in PET/CT. ML-CDS@MICCAI 2021: 59-68 - [c20]Vincent Andrearczyk, Pierre Fontaine, Valentin Oreiller, Joël Castelli, Mario Jreige
, John O. Prior, Adrien Depeursinge
:
Multi-task Deep Segmentation and Radiomics for Automatic Prognosis in Head and Neck Cancer. PRIME@MICCAI 2021: 147-156 - [c19]Mara Graziani, Iam Palatnik de Sousa, Marley M. B. R. Vellasco, Eduardo Costa da Silva, Henning Müller
, Vincent Andrearczyk:
Sharpening Local Interpretable Model-Agnostic Explanations for Histopathology: Improved Understandability and Reliability. MICCAI (3) 2021: 540-549 - [e1]Vincent Andrearczyk
, Valentin Oreiller
, Adrien Depeursinge
:
Head and Neck Tumor Segmentation - First Challenge, HECKTOR 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4, 2020, Proceedings. Lecture Notes in Computer Science 12603, Springer 2021, ISBN 978-3-030-67193-8 [contents] - 2020
- [j5]Mara Graziani
, Ivan Eggel, François Deligand, Martin Bobák
, Vincent Andrearczyk, Henning Müller
:
Breast Histopathology with High-Performance Computing and Deep Learning. Comput. Informatics 39(4): 780-807 (2020) - [j4]Mara Graziani, Vincent Andrearczyk, Stéphane Marchand-Maillet
, Henning Müller
:
Concept attribution: Explaining CNN decisions to physicians. Comput. Biol. Medicine 123: 103865 (2020) - [j3]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge
:
Local rotation invariance in 3D CNNs. Medical Image Anal. 65: 101756 (2020) - [c18]Marek Wodzinski
, Tommaso Banzato
, Manfredo Atzori, Vincent Andrearczyk, Yashin Dicente Cid, Henning Müller
:
Training Deep Neural Networks for Small and Highly Heterogeneous MRI Datasets for Cancer Grading. EMBC 2020: 1758-1761 - [c17]Vincent Andrearczyk, Valentin Oreiller, Mario Jreige, Martin Vallières, Joël Castelli, Hesham Elhalawani
, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Overview of the HECKTOR Challenge at MICCAI 2020: Automatic Head and Neck Tumor Segmentation in PET/CT. HECKTOR@MICCAI 2020: 1-21 - [c16]Mara Graziani
, Thomas Lompech, Henning Müller
, Adrien Depeursinge, Vincent Andrearczyk:
Interpretable CNN Pruning for Preserving Scale-Covariant Features in Medical Imaging. iMIMIC/MIL3ID/LABELS@MICCAI 2020: 23-32 - [c15]Vincent Andrearczyk, Valentin Oreiller, Martin Vallières, Joël Castelli, Hesham Elhalawani, Mario Jreige, Sarah Boughdad, John O. Prior, Adrien Depeursinge:
Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. MIDL 2020: 33-43 - [c14]Amjad Khan
, Manfredo Atzori, Sebastian Otálora, Vincent Andrearczyk, Henning Müller
:
Generalizing convolution neural networks on stain color heterogeneous data for computational pathology. Medical Imaging: Digital Pathology 2020: 113200R - [c13]Sebastian Otálora, Manfredo Atzori, Amjad Khan
, Oscar Alfonso Jiménez del Toro, Vincent Andrearczyk, Henning Müller
:
Systematic comparison of deep learning strategies for weakly supervised Gleason grading. Medical Imaging: Digital Pathology 2020: 113200L - [c12]Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller
, Jayashree Kalpathy-Cramer:
An exploration of uncertainty information for segmentation quality assessment. Medical Imaging: Image Processing 2020: 113131K - [c11]Henning Müller
, Vincent Andrearczyk, Oscar Alfonso Jiménez del Toro, Anjani Dhrangadhariya, Roger Schaer, Manfredo Atzori:
Studying Public Medical Images from the Open Access Literature and Social Networks for Model Training and Knowledge Extraction. MMM (2) 2020: 553-564 - [d1]Michael T. McCann
, Vincent Andrearczyk, Michael Unser
, Adrien Depeursinge:
Code for "Fast Rotational Sparse Coding". Zenodo, 2020 - [i9]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Local Rotation Invariance in 3D CNNs. CoRR abs/2003.08890 (2020) - [i8]Valentin Oreiller, Vincent Andrearczyk, Julien Fageot, John O. Prior, Adrien Depeursinge:
3D Solid Spherical Bispectrum CNNs for Biomedical Texture Analysis. CoRR abs/2004.13371 (2020) - [i7]Adrien Depeursinge, Vincent Andrearczyk, Philip Whybra, Joost van Griethuysen, Henning Müller, Roger Schaer, Martin Vallières, Alex Zwanenburg:
Standardised convolutional filtering for radiomics. CoRR abs/2006.05470 (2020) - [i6]Mara Graziani, Sebastian Otálora, Henning Müller, Vincent Andrearczyk:
Guiding CNNs towards Relevant Concepts by Multi-task and Adversarial Learning. CoRR abs/2008.01478 (2020)
2010 – 2019
- 2019
- [c10]Mara Graziani
, Henning Müller
, Vincent Andrearczyk:
Interpreting Intentionally Flawed Models with Linear Probes. ICCV Workshops 2019: 743-747 - [c9]Mara Graziani
, James M. Brown
, Vincent Andrearczyk, Veysi Yildiz, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis
, Michael F. Chiang
, Jayashree Kalpathy-Cramer, Henning Müller
:
Improved interpretability for computer-aided severity assessment of retinopathy of prematurity. Medical Imaging: Computer-Aided Diagnosis 2019: 109501R - [c8]Vincent Andrearczyk, Julien Fageot, Valentin Oreiller, Xavier Montet, Adrien Depeursinge:
Exploring local rotation invariance in 3D CNNs with steerable filters. MIDL 2019: 15-26 - [i5]Mara Graziani, Vincent Andrearczyk, Henning Müller:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. CoRR abs/1904.04520 (2019) - 2018
- [j2]Vincent Andrearczyk, Paul F. Whelan:
Convolutional neural network on three orthogonal planes for dynamic texture classification. Pattern Recognit. 76: 36-49 (2018) - [c7]Vincent Andrearczyk, Henning Müller
:
Deep Multimodal Classification of Image Types in Biomedical Journal Figures. CLEF 2018: 3-14 - [c6]Alba Garcia Seco de Herrera, Carsten Eickhoff, Vincent Andrearczyk, Henning Müller:
Overview of the ImageCLEF 2018 Caption Prediction Tasks. CLEF (Working Notes) 2018 - [c5]Bogdan Ionescu, Henning Müller
, Mauricio Villegas
, Alba Garcia Seco de Herrera
, Carsten Eickhoff, Vincent Andrearczyk, Yashin Dicente Cid, Vitali Liauchuk
, Vassili Kovalev
, Sadid A. Hasan, Yuan Ling, Oladimeji Farri, Joey Liu, Matthew P. Lungren, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Liting Zhou
, Mathias Lux, Cathal Gurrin
:
Overview of ImageCLEF 2018: Challenges, Datasets and Evaluation. CLEF 2018: 309-334 - [c4]Adrien Depeursinge
, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
:
Rotation Invariance and Directional Sensitivity: Spherical Harmonics versus Radiomics Features. MLMI@MICCAI 2018: 107-115 - [c3]Mara Graziani
, Vincent Andrearczyk, Henning Müller
:
Regression Concept Vectors for Bidirectional Explanations in Histopathology. MLCN/DLF/iMIMIC@MICCAI 2018: 124-132 - [c2]Sebastian Otálora, Manfredo Atzori, Vincent Andrearczyk, Henning Müller
:
Image Magnification Regression Using DenseNet for Exploiting Histopathology Open Access Content. COMPAY/OMIA@MICCAI 2018: 148-155 - [c1]Oscar J. Perdomo
, Vincent Andrearczyk, Fabrice Mériaudeau, Henning Müller
, Fabio A. González:
Glaucoma Diagnosis from Eye Fundus Images Based on Deep Morphometric Feature Estimation. COMPAY/OMIA@MICCAI 2018: 319-327 - [i4]Vincent Andrearczyk, Adrien Depeursinge:
Rotational 3D Texture Classification Using Group Equivariant CNNs. CoRR abs/1810.06889 (2018) - 2017
- [i3]Vincent Andrearczyk, Paul F. Whelan:
Texture segmentation with Fully Convolutional Networks. CoRR abs/1703.05230 (2017) - [i2]Vincent Andrearczyk, Paul F. Whelan:
Convolutional Neural Network on Three Orthogonal Planes for Dynamic Texture Classification. CoRR abs/1703.05530 (2017) - 2016
- [j1]Vincent Andrearczyk, Paul F. Whelan
:
Using filter banks in Convolutional Neural Networks for texture classification. Pattern Recognit. Lett. 84: 63-69 (2016) - [i1]Vincent Andrearczyk, Paul F. Whelan:
Using Filter Banks in Convolutional Neural Networks for Texture Classification. CoRR abs/1601.02919 (2016)
Coauthor Index
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last updated on 2024-08-05 20:23 CEST by the dblp team
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