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ORCIDICPR 2020: Virtual Event / Milano, Italy - Workshops
- Alberto Del Bimbo
, Rita Cucchiara, Stan Sclaroff, Giovanni Maria Farinella, Tao Mei, Marco Bertini, Hugo Jair Escalante, Roberto Vezzani:
Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10-15, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12661, Springer 2021, ISBN 978-3-030-68762-5
3DHU 2020 - 3D Human Understanding
- Sk Rahatul Jannat, Diego Fabiano, Shaun J. Canavan, Tempestt J. Neal:
Subject Identification Across Large Expression Variations Using 3D Facial Landmarks. 5-13 - Alessandro Manilii, Leonardo Lucarelli, Riccardo Rosati, Luca Romeo, Adriano Mancini, Emanuele Frontoni:
3D Human Pose Estimation Based on Multi-Input Multi-Output Convolutional Neural Network and Event Cameras: A Proof of Concept on the DHP19 Dataset. 14-25 - Jens Bayer, David Münch, Michael Arens:
Image-Based Out-of-Distribution-Detector Principles on Graph-Based Input Data in Human Action Recognition. 26-40 - Zhongguo Li, Anders Heyden, Magnus Oskarsson:
A Novel Joint Points and Silhouette-Based Method to Estimate 3D Human Pose and Shape. 41-56 - Viktor Kress, Stefan Zernetsch, Konrad Doll, Bernhard Sick:
Pose Based Trajectory Forecast of Vulnerable Road Users Using Recurrent Neural Networks. 57-71 - Renato Baptista, Alexandre Saint, Kassem Al Ismaeil, Djamila Aouada:
Towards Generalization of 3D Human Pose Estimation in the Wild. 72-81 - Anis Kacem, Hamza Ben Abdesslam, Kseniya Cherenkova, Djamila Aouada:
Space-Time Triplet Loss Network for Dynamic 3D Face Verification. 82-90
AIDP - Artificial Intelligence for Digital Pathology
- Geetank Raipuria, Saikiran Bonthu, Nitin Singhal:
Noise Robust Training of Segmentation Model Using Knowledge Distillation. 97-104 - Niccolò Marini, Sebastian Otálora, Henning Müller, Manfredo Atzori:
Semi-supervised Learning with a Teacher-Student Paradigm for Histopathology Classification: A Resource to Face Data Heterogeneity and Lack of Local Annotations. 105-119 - Aman Shrivastava, William Adorno, Yash Sharma, Lubaina Ehsan, S. Asad Ali, Sean R. Moore, Beatrice C. Amadi, Paul Kelly, Sana Syed, Donald E. Brown:
Self-attentive Adversarial Stain Normalization. 120-140 - Jacob Gildenblat, Ido Ben-Shaul, Zvi Lapp, Eldad Klaiman:
Certainty Pooling for Multiple Instance Learning. 141-153 - Anjani Dhrangadhariya, Sebastian Otálora, Manfredo Atzori, Henning Müller:
Classification of Noisy Free-Text Prostate Cancer Pathology Reports Using Natural Language Processing. 154-166 - Nicole Bussola, Alessia Marcolini, Valerio Maggio, Giuseppe Jurman, Cesare Furlanello:
AI Slipping on Tiles: Data Leakage in Digital Pathology. 167-182
AIHA 2020 - International Workshop on Artificial Intelligence for Healthcare Applications
- André Ferreira, Sara C. Madeira, Marta Gromicho, Mamede de Carvalho, Susana Vinga, Alexandra M. Carvalho:
Predictive Medicine Using Interpretable Recurrent Neural Networks. 187-202 - Nicola Colic, Patrick Beeler, Chantal Csajka, Vasiliki Foufi, Frederic Gaspar, Marie-Annick Le Pogam, Angela Lisibach, Christian Lovis, Monika Lutters, Fabio Rinaldi:
Automated Detection of Adverse Drug Events from Older Patients' Electronic Medical Records Using Text Mining. 203-211 - Mattia Chiari, Alfonso Emilio Gerevini, Roberto Maroldi, Matteo Olivato, Luca Putelli, Ivan Serina:
Length of Stay Prediction for Northern Italy COVID-19 Patients Based on Lab Tests and X-Ray Data. 212-226 - Francesco Rundo, Giuseppe Luigi Banna, Francesca Trenta, Concetto Spampinato, Luc M. Bidaut, Xujiong Ye, Stefanos D. Kollias, Sebastiano Battiato:
Advanced Non-linear Generative Model with a Deep Classifier for Immunotherapy Outcome Prediction: A Bladder Cancer Case Study. 227-242 - Sabrina Dhalla, Ajay Mittal, Savita Gupta, Harleen Singh:
Multi-model Ensemble to Classify Acute Lymphoblastic Leukemia in Blood Smear Images. 243-253 - Quan Huu Cap, Hitoshi Iyatomi, Atsushi Fukuda:
MIINet: An Image Quality Improvement Framework for Supporting Medical Diagnosis. 254-265 - Benjamin Reichman, Longlong Jing, Oguz Akin, Yingli Tian:
Medical Image Tampering Detection: A New Dataset and Baseline. 266-277 - Astrid Zeman, Anne-Sofie Maerten, Annemie Mengels, Lie Fong Sharon, Carl Spiessens, Hans P. Op de Beeck:
Deep Learning for Human Embryo Classification at the Cleavage Stage (Day 3). 278-292 - Adrian Galdran, Gustavo Carneiro, Miguel Ángel González Ballester:
Double Encoder-Decoder Networks for Gastrointestinal Polyp Segmentation. 293-307 - Rania Niri, Hassan Douzi, Yves Lucas, Sylvie Treuillet:
A Superpixel-Wise Fully Convolutional Neural Network Approach for Diabetic Foot Ulcer Tissue Classification. 308-320 - Duc Duy Pham, Jonas Müller, Piush Aggarwal, Amit Khatri, Mayank Sharma, Torsten Zesch, Josef Pauli:
Fully vs. Weakly Supervised Caries Localization in Smartphone Images with CNNs. 321-336 - Muhammad Usman Akbar, Muhammad Abubakar Yamin, Vittorio Murino, Diego Sona:
Organ Segmentation with Recursive Data Augmentation for Deep Models. 337-343 - Amirreza Mahbod, Gerald Schaefer, Rupert Ecker, Isabella Ellinger:
Pollen Grain Microscopic Image Classification Using an Ensemble of Fine-Tuned Deep Convolutional Neural Networks. 344-356 - Albert Comelli, Alessandro Stefano:
Active Surface for Fully 3D Automatic Segmentation. 357-367 - Chaitanya Kaul, Nick E. Pears, Hang Dai, Roderick Murray-Smith, Suresh Manandhar:
Penalizing Small Errors Using an Adaptive Logarithmic Loss. 368-375 - Zhenxing Xu, Peng Wan, Gulibire Aihemaiti, Daoqiang Zhang:
Exploiting Saliency in Attention Based Convolutional Neural Network for Classification of Vertical Root Fractures. 376-388 - Rossana Buongiorno, Danila Germanese, Chiara Romei, Laura Tavanti, Annalisa De Liperi, Sara Colantonio:
UIP-Net: A Decoder-Encoder CNN for the Detection and Quantification of Usual Interstitial Pneumoniae Pattern in Lung CT Scan Images. 389-405 - Alessio Gallucci, Dmitry Znamenskiy, Nicola Pezzotti, Milan Petkovic:
Don't Tear Your Hair Out: Analysis of the Impact of Skin Hair on the Diagnosis of Microscopic Skin Lesions. 406-416 - Roa'a Khaled, Joel Vidal, Robert Martí:
Deep Learning Based Segmentation of Breast Lesions in DCE-MRI. 417-430 - Xueyi Wang, Estefanía Talavera, Dimka Karastoyanova, George Azzopardi:
Fall Detection and Recognition from Egocentric Visual Data: A Case Study. 431-443 - Mert Kayhan, Okan Köpüklü, Mhd Hasan Sarhan, Mehmet Yigitsoy, Abouzar Eslami, Gerhard Rigoll:
Deep Attention Based Semi-supervised 2D-Pose Estimation for Surgical Instruments. 444-460 - Francesca Pia Villani, Mariachiara Di Cosmo, Álvaro Bertelsen Simonetti, Emanuele Frontoni, Sara Moccia:
Development of an Augmented Reality System Based on Marker Tracking for Robotic Assisted Minimally Invasive Spine Surgery. 461-475 - Asma Bensalah, Jialuo Chen, Alicia Fornés, Cristina Carmona-Duarte, Josep Lladós, Miguel Ángel Ferrer:
Towards Stroke Patients' Upper-Limb Automatic Motor Assessment Using Smartwatches. 476-489 - Jasmin Henze, Salima Houta, Rainer Surges, Johannes Kreuzer, Pinar Bisgin:
Multimodal Detection of Tonic-Clonic Seizures Based on 3D Acceleration and Heart Rate Data from an In-Ear Sensor. 490-502 - Alessandro Bitetto, Elena Bianchi, Piercarlo Dondi, Luca Bianchi, Janos Tolgyesi, Diego Ferri, Luca Lombardi, Paola Cerchiello, Azzurra Marceca, Alberto Barosi:
Deep Learning Detection of Cardiac Akinesis in Echocardiograms. 503-514 - Andrés Rojas, Eleni Kroupi, Géraldine Martens, Aurore Thibaut, Alice Barra, Steven Laureys, Giulio Ruffini, Aureli Soria-Frisch:
Prediction of Minimally Conscious State Responder Patients to Non-invasive Brain Stimulation Using Machine Learning Algorithms. 515-525 - Alessandro Bria, Claudio Marrocco, Francesco Tortorella:
Sinc-Based Convolutional Neural Networks for EEG-BCI-Based Motor Imagery Classification. 526-535 - Vincenzo Dentamaro, Donato Impedovo, Giuseppe Pirlo:
An Analysis of Tasks and Features for Neuro-Degenerative Disease Assessment by Handwriting. 536-545 - Kaijie Zhang, Wei Wang, Yijun Guo, Caifeng Shan, Liang Wang:
A Comparative Study on Autism Spectrum Disorder Detection via 3D Convolutional Neural Networks. 546-558 - Giuseppe De Gregorio, Domenico Desiato, Angelo Marcelli, Giuseppe Polese:
A Multi Classifier Approach for Supporting Alzheimer's Diagnosis Based on Handwriting Analysis. 559-574 - Fei Yu, Baoqi Zhao, Qingqing Ge, Zhijie Zhang, Junmei Sun, Xiumei Li:
A Lightweight Spatial Attention Module with Adaptive Receptive Fields in 3D Convolutional Neural Network for Alzheimer's Disease Classification. 575-586 - Nicole Dalia Cilia, Claudio De Stefano, Francesco Fontanella, Alessandra Scotto di Freca:
Handwriting-Based Classifier Combination for Cognitive Impairment Prediction. 587-599
CADL2020 - Workshop on Computational Aspects of Deep Learning
- Francesco Versaci:
WaveTF: A Fast 2D Wavelet Transform for Machine Learning in Keras. 605-618 - Gabriel Turinici:
Convergence Dynamics of Generative Adversarial Networks: The Dual Metric Flows. 619-634 - Veysel Kocaman, David Talby:
Biomedical Named Entity Recognition at Scale. 635-646 - Jonathan Jouanne, Quentin Dauchy, Ahmad Montaser Awal:
PyraD-DCNN: A Fully Convolutional Neural Network to Replace BLSTM in Offline Text Recognition Systems. 647-661 - Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc, Stefan Duffner, Christophe Garcia:
Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm. 662-676 - Niki Andreas Lopi, Tuomas Kynkäänniemi:
Multi-node Training for StyleGAN2. 677-684 - Athanasios Psaltis, Anastasios Dimou, Federico Alvarez, Petros Daras:
Flow R-CNN: Flow-Enhanced Object Detection. 685-700 - Chenghui Zhou, Xiaolei Chen, Pei Sun, Guanwen Zhang, Wei Zhou:
Compressed Video Action Recognition Using Motion Vector Representation. 701-713 - Jesus Adan Cruz Vargas, Julio Zamora-Esquivel, Omesh Tickoo:
Introducing Region Pooling Learning. 714-724 - Julio Zamora-Esquivel, Jesus Adan Cruz Vargas, Omesh Tickoo:
Second Order Bifurcating Methodology for Neural Network Training and Topology Optimization. 725-738
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