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ORCIDThomas Fevens
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- affiliation: Concordia University, Montreal, Canada
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2020 – today
- 2024
[j23]Athanasios Babouras
, Patrik Abdelnour, Thomas Fevens, Paul A. Martineau:
Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests. Int. J. Comput. Assist. Radiol. Surg. 19(7): 1321-1328 (2024)- [j22]Nicolaos Karatzas, Patrik Abdelnour, Jason Philip Aaron Hiro Corban, Kevin Y. Zhao, Louis-Nicolas Veilleux, Stephane G. Bergeron, Thomas Fevens, Hassan Rivaz, Athanasios Babouras, Paul A. Martineau:
Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening. Sensors 24(6): 1970 (2024) - [j21]Patrik Abdelnour, Kevin Y. Zhao, Athanasios Babouras, Jason Philip Aaron Hiro Corban, Nicolaos Karatzas, Thomas Fevens, Paul A. Martineau:
Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2. Sensors 24(12): 3814 (2024) - [c62]Somayeh Davar, Thomas Fevens:
Brain MRI Tumour Localization and Segmentation Through Deep Learning. MWSCAS 2024: 782-786 - 2023
- [c61]Gabriella Spacagna, Thomas Fevens, Jake Barralet:
An Image Classification Approach to Pre-Determine Extent of Development of Post-Operative Necrosis in Skin Flaps. EMBC 2023: 1-4 - [i8]Laya Rafiee Sevyeri, Ivaxi Sheth, Farhood Farahnak, Alexandre See, Samira Ebrahimi Kahou, Thomas Fevens, Mohammad Havaei:
Source-free Domain Adaptation Requires Penalized Diversity. CoRR abs/2304.02798 (2023) - 2022
- [j20]Abdunasser Alowa, Thomas Fevens, Yaser M. Khamayseh:
Survival backup strategy for controller placement problem in Software Defined Networking. Comput. Commun. 185: 104-117 (2022) - [c60]Laya Rafiee Sevyeri, Thomas Fevens:
AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection. ICIAP (1) 2022: 322-334 - 2021
- [j19]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-oriented continual learning for generative models. Pattern Recognit. 120: 108127 (2021) - [c59]Prabhakara Subramanya Jois, Aniketh Manjunath, Thomas Fevens:
Boosting Segmentation Performance across Datasets using Histogram Specification with Application to Pelvic Bone Segmentation. BIBM 2021: 1364-1369 - [c58]Manfred Diaz, Thomas Fevens, Liam Paull:
Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. CRV 2021: 72-78 - [c57]Aloys Portafaix, Thomas Fevens:
Improving Accuracy and Runtime of Skeletal Tracking of Lower Limbs for Athletic Jump Mechanics Assessment. EMBC 2021: 4832-4835 - [c56]Sidi Yang, Thomas Fevens:
Uncertainty Quantification and Estimation in Medical Image Classification. ICANN (3) 2021: 671-683 - [i7]Prabhakara Subramanya Jois, Aniketh Manjunath, Thomas Fevens:
Boosting Segmentation Performance across datasets using histogram specification with application to pelvic bone segmentation. CoRR abs/2101.11135 (2021) - [i6]Laya Rafiee Sevyeri, Thomas Fevens:
on the effectiveness of generative adversarial network on anomaly detection. CoRR abs/2112.15541 (2021) - 2020
- [c55]Pouria Chalangari, Thomas Fevens, Hassan Rivaz:
3D Human Knee Flexion Angle Estimation Using Deep Convolutional Neural Networks. EMBC 2020: 5424-5427 - [c54]Abdunasser Alowa, Thomas Fevens:
Towards Minimum Inter-Controller Delay Time in Software Defined Networking. FNC/MobiSPC 2020: 395-402 - [c53]Laya Rafiee, Thomas Fevens:
Unsupervised Anomaly Detection with a GAN Augmented Autoencoder. ICANN (1) 2020: 479-490 - [c52]Abdunasser Alowa, Thomas Fevens:
A Dynamic Recovery Module for In-band Control Channel Failure In Software Defined Networking. NetSoft 2020: 209-217 - [i5]Qicheng Lao, Mehrzad Mortazavi, Marzieh Tahaei, Francis Dutil, Thomas Fevens, Mohammad Havaei:
FoCL: Feature-Oriented Continual Learning for Generative Models. CoRR abs/2003.03877 (2020)
2010 – 2019
- 2019
- [j18]Qicheng Lao, Thomas Fevens:
Cell Phenotype Classification Using Deep Residual Network and Its Variants. Int. J. Pattern Recognit. Artif. Intell. 33(11): 1940017:1-1940017:15 (2019) - [c51]Farhood Farahnak, Laya Rafiee, Leila Kosseim, Thomas Fevens:
The Concordia NLG Surface Realizer at SRST 2019. MSR@EMNLP-IJCNLP 2019: 63-67 - [c50]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. ICCV 2019: 7566-7575 - [c49]Abdunasser Alowa, Thomas Fevens:
Combined Degree-Based with Independent Dominating Set Approach for Controller Placement Problem in Software Defined Networks. ICIN 2019: 269-276 - [c48]Qingbo Kang, Qicheng Lao, Thomas Fevens:
Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. MICCAI (1) 2019: 703-711 - [c47]Bartosz Miselis, Thomas Fevens, Adam Krzyzak, Marek Kowal, Roman Monczak:
Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario. PCBBE 2019: 131-142 - [i4]Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. CoRR abs/1905.11567 (2019) - [i3]Qicheng Lao, Mohammad Havaei, Ahmad Pesaranghader, Francis Dutil, Lisa Di-Jorio, Thomas Fevens:
Dual Adversarial Inference for Text-to-Image Synthesis. CoRR abs/1908.05324 (2019) - [i2]Mandana Samiei, Tobias Würfl, Tristan Deleu, Martin Weiss, Francis Dutil, Thomas Fevens, Geneviève Boucher, Sébastien Lemieux, Joseph Paul Cohen:
The TCGA Meta-Dataset Clinical Benchmark. CoRR abs/1910.08636 (2019) - 2018
- [c46]Qicheng Lao, Thomas Fevens, Boyu Wang:
Leveraging Disease Progression Learning for Medical Image Recognition. BIBM 2018: 671-675 - [i1]Qicheng Lao, Thomas Fevens:
Leveraging Disease Progression Learning for Medical Image Recognition. CoRR abs/1806.10128 (2018) - 2017
- [c45]Muneera Alsaedi, Thomas Fevens, Adam Krzyzak, Lukasz Jelen:
Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. BIBM 2017: 705-709 - [c44]Qicheng Lao, Thomas Fevens:
Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. BMVC 2017 - [c43]Manfred Diaz, Roger Girgis, Thomas Fevens, Jeremy R. Cooperstock:
To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk. ICCV Workshops 2017: 1470-1479 - [c42]Shaghayegh Taheri, Thomas Fevens, Tien D. Bui:
Robust nuclei segmentation in cyto-histopathological images using statistical level set approach with topology preserving constraint. Image Processing 2017: 1013318 - 2016
- [j17]Lukasz Jelen, Adam Krzyzak, Thomas Fevens, Michal Jelen:
Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. Comput. Biol. Medicine 79: 80-91 (2016) - [j16]Abedalmotaleb Zadin, Thomas Fevens:
Neighborhood-based interference minimization for stable position-based routing in mobile ad hoc networks. Future Gener. Comput. Syst. 64: 88-97 (2016) - [c41]Abedalmotaleb Zadin, Thomas Fevens, Taoufik Bdiri:
Impact of Varying Node Velocity and HELLO Interval Duration on Position-based Stable Routing in Mobile Ad Hoc Networks. FNC/MobiSPC 2016: 353-358 - 2015
- [c40]Abedalmotaleb Zadin, Thomas Fevens:
Minimizing Communication Interference for Stable Position-based Routing in Mobile Ad Hoc Networks. ANT/SEIT 2015: 460-467 - 2014
- [j15]Tomasz Bruzdzinski, Adam Krzyzak, Thomas Fevens, Lukasz Jelen:
Web-Based Framework For Breast Cancer Classification. J. Artif. Intell. Soft Comput. Res. 4(2): 149-162 (2014) - [c39]Abedalmotaleb Zadin, Thomas Fevens:
Energy Efficient Stable Routing Using Adjustable Transmission Ranges in Mobile Ad Hoc Networks. ADHOC-NOW 2014: 237-250 - [c38]Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens:
Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. ANNPR 2014: 216-227 - [c37]Abedalmotaleb Zadin, Thomas Fevens:
Effect of HELLO interval duration on stable routing for mobile ad hoc networks. CCECE 2014: 1-6 - [c36]Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. ICAISC (1) 2014: 539-550 - 2013
- [j14]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
3D Local Algorithm for Dominating Sets of Unit Disk Graphs. Ad Hoc Sens. Wirel. Networks 19(1-2): 21-41 (2013) - [j13]Pawel Filipczuk, Thomas Fevens, Adam Krzyzak, Roman Monczak:
Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. IEEE Trans. Medical Imaging 32(12): 2169-2178 (2013) - [c35]Abedalmotaleb Zadin, Thomas Fevens:
Maintaining Path Stability with Node Failure in Mobile Ad Hoc Networks. ANT/SEIT 2013: 1068-1073 - [c34]Abedalmotaleb Zadin, Thomas Fevens:
Stable connections using multi-paths and conservative neighborhood ranges in mobile ad hoc networks. CCECE 2013: 1-4 - [c33]Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens:
White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. ICAISC (2) 2013: 263-274 - 2012
- [j12]Chao Jin, Thomas Fevens, Sudhir P. Mudur:
Optimized keyframe extraction for 3D character animations. Comput. Animat. Virtual Worlds 23(6): 559-568 (2012) - [c32]Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens:
Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. ICCVG 2012: 414-422 - [c31]Bartosz Krawczyk, Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. ICCVG 2012: 483-490 - 2011
- [c30]Mehdi Habibzadeh, Adam Krzyzak, Thomas Fevens, Ali Sadr:
Counting of RBCs and WBCs in noisy normal blood smear microscopic images. Computer-Aided Diagnosis 2011: 79633I - [p1]Adam Krzyzak, Thomas Fevens, Mehdi Habibzadeh, Lukasz Jelen:
Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. Computer Recognition Systems 4 2011: 623-644 - 2010
- [j11]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny, Ivan Stojmenovic:
Power-aware semi-beaconless 3D georouting algorithms using adjustable transmission ranges for wireless ad hoc and sensor networks. Ad Hoc Networks 8(1): 15-29 (2010) - [c29]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
3d local algorithm for dominating sets of unit disk graphs. CCCG 2010: 35-38
2000 – 2009
- 2009
- [c28]Lukasz Jelen, Thomas Fevens, Adam Krzyzak:
Influence of nuclei segmentation on breast cancer malignancy classification. Computer-Aided Diagnosis 2009: 726014 - 2008
- [j10]Lukasz Jelen, Thomas Fevens, Adam Krzyzak:
Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies. Int. J. Appl. Math. Comput. Sci. 18(1): 75-83 (2008) - [j9]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
High delivery rate position-based routing algorithms for 3D ad hoc networks. Comput. Commun. 31(4): 807-817 (2008) - [j8]Prosenjit Bose, Thomas Fevens:
Editorial. Comput. Geom. 39(1): 1 (2008) - [c27]Lukasz Jelen, Adam Krzyzak, Thomas Fevens:
Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. Canadian AI 2008: 138-149 - [c26]Dania El-Khechen, John Iacono, Thomas Fevens, Günter Rote:
Partitioning a Polygon into Two Mirror Congruent Pieces. CCCG 2008 - [c25]Tarek El Salti, Thomas Fevens, Alaa Eddien Abdallah:
Fast Progress-Based Routing in Sensing-Covered Networks. GLOBECOM 2008: 5356-5361 - [c24]Jurek Czyzowicz, Stefan Dobrev, Thomas Fevens, Hernán González-Aguilar, Evangelos Kranakis, Jaroslav Opatrny, Jorge Urrutia:
Local Algorithms for Dominating and Connected Dominating Sets of Unit Disk Graphs with Location Aware Nodes. LATIN 2008: 158-169 - [c23]Song Liu, Thomas Fevens, Alaa Eddien Abdallah:
Hybrid Position-Based Routing Algorithms for 3D Mobile Ad Hoc Networks. MSN 2008: 177-186 - [c22]Cheryl Kolak Dudek, Margarita Lypiridou, Nasim Sedaghat, Sudhir P. Mudur, Fred E. Szabo, Lydia Sharman, Thomas Fevens:
African Kuba textiles: structural inference and contemporary design using shape grammars. SIGGRAPH Art Gallery 2008: 48-49 - 2007
- [j7]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Semi-automatic computer aided lesion detection in dental X-rays using variational level set. Pattern Recognit. 40(10): 2861-2873 (2007) - [j6]Chao Jin, Thomas Fevens, Shuo Li, Sudhir P. Mudur:
Motion learning-based framework for unarticulated shape animation. Vis. Comput. 23(9-11): 753-761 (2007) - [c21]Thomas Fevens, Alaa Eddien Abdallah, Tarek El Salti, Louisa Harutyunyan:
A Class of Orientation-Invariant Yao-type Subgraphs of a Unit Disk Graph. DIALM-POMC 2007 - [c20]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
Power-Aware 3D Position-based Routing Algorithms for Ad Hoc Networks. ICC 2007: 3130-3135 - [c19]Erik D. Demaine, Martin L. Demaine, Thomas Fevens, Antonio Mesa, Michael A. Soss, Diane L. Souvaine, Perouz Taslakian, Godfried T. Toussaint:
Deflating the Pentagon. KyotoCGGT 2007: 56-67 - [c18]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Computer aided root lesion detection using level set and complex wavelets. Computer-Aided Diagnosis 2007: 65141M - 2006
- [j5]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. Comput. Medical Imaging Graph. 30(2): 65-74 (2006) - [j4]Greg Aloupis, Thomas Fevens, Stefan Langerman, Tomomi Matsui, Antonio Mesa, Yurai Núñez Rodríguez, David Rappaport, Godfried T. Toussaint:
Algorithms for Computing Geometric Measures of Melodic Similarity. Comput. Music. J. 30(3): 67-76 (2006) - [j3]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
Automatic clinical image segmentation using pathological modeling, PCA and SVM. Eng. Appl. Artif. Intell. 19(4): 403-410 (2006) - [c17]Feng Liu, Sushil Bhakar, Thomas Fevens, Sudhir P. Mudur:
Environment Lighting for Point Sampled Geometry. CGIV 2006: 353-358 - [c16]Feng Liu, Sushil Bhakar, Thomas Fevens, Sudhir P. Mudur:
Environment Lighting for Point Sampled Geometry. CGIV 2006: 522-527 - [c15]Dania El-Khechen, Thomas Fevens, John Iacono:
Partitioning a Regular n-gon into n+1 Convex Congruent Pieces is Impossible, for Sufficiently Large n. CCCG 2006 - [c14]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
Hybrid Position-Based 3D Routing Algorithms with Partial Flooding. CCECE 2006: 227-230 - [c13]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. MICCAI (2) 2006: 766-773 - [c12]Alaa Eddien Abdallah, Thomas Fevens, Jaroslav Opatrny:
Randomized 3D Position-based Routing Algorithms for Ad-hoc Networks. MobiQuitous 2006: 1-8 - 2005
- [c11]Thomas Fevens, Alaa Eddien Abdallah, Badr Naciri Bennani:
Randomized AB-Face-AB Routing Algorithms in Mobile Ad Hoc Networks. ADHOC-NOW 2005: 43-56 - [c10]George S.-C. Kao, Thomas Fevens, Jaroslav Opatrny:
Position-Based Routing on 3-D Geometric Graphs in Mobile Ad Hoc Networks. CCCG 2005: 88-91 - [c9]Shuo Li, Thomas Fevens, Adam Krzyzak, Chao Jin, Song Li:
Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. MICCAI 2005: 670-678 - [c8]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
A level set segmentation for computer-aided dental x-ray analysis. Image Processing 2005 - [c7]Shuo Li, Thomas Fevens, Adam Krzyzak, Song Li:
Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. MLDM 2005: 314-324 - [c6]Chao Jin, Thomas Fevens, Shuo Li, Sudhir P. Mudur:
Feature Preserving Volumetric Data Simplification for Application in Medical Imaging. WSCG (Full Papers) 2005: 235-242 - 2004
- [c5]Shuo Li, Thomas Fevens, Adam Krzyzak:
A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. CARS 2004: 207-212 - [c4]Shuo Li, Thomas Fevens, Adam Krzyzak:
Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. MICCAI (1) 2004: 160-167 - [c3]Thomas Fevens, Israat Tanzeena Haque, Lata Narayanan:
Randomized Routing Algorithms in Mobile Ad Hoc Networks. MWCN 2004: 347-357 - 2003
- [c2]Greg Aloupis, Thomas Fevens, Stefan Langerman, Tomomi Matsui, Antonio Mesa, Yurai Núñez Rodríguez, David Rappaport, Godfried T. Toussaint:
Computing the Similarity of two Melodies. CCCG 2003: 81-84 - 2002
- [c1]Thomas Fevens:
A Note on Point Subsets with a Specified Number of Interior Points. JCDCG 2002: 152-158 - 2001
- [j2]Thomas Fevens, Henk Meijer, David Rappaport:
Minimum convex partition of a constrained point set. Discret. Appl. Math. 109(1-2): 95-107 (2001)
1990 – 1999
- 1999
- [j1]Thomas Fevens, Hong Jiang:
Absorbing Boundary Conditions for the Schrödinger Equation. SIAM J. Sci. Comput. 21(1): 255-282 (1999)
Coauthor Index
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