Absorbing Boundary Conditions for the Schrödinger Equation. - Thomas Fevens; Hong Jiang (SIAM J. Sci. Comput., 1999)

Minimum convex partition of a constrained point set. - Thomas Fevens; Henk Meijer; David Rappaport (Discret. Appl. Math., 2001)

A Note on Point Subsets with a Specified Number of Interior Points. - Thomas Fevens (JCDCG, 2002)

Computing the Similarity of two Melodies. - Greg Aloupis; Thomas Fevens; Stefan Langerman; Tomomi Matsui; Antonio Mesa; Yurai Núñez Rodríguez; David Rappaport; Godfried T. Toussaint (CCCG, 2003)

A SVM-based framework for autonomous volumetric medical image segmentation using hierarchical and coupled level sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (CARS, 2004)

Image Segmentation Adapted for Clinical Settings by Combining Pattern Classification and Level Sets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak (MICCAI (1), 2004)

Randomized Routing Algorithms in Mobile Ad Hoc Networks. - Thomas Fevens; Israat Tanzeena Haque; Lata Narayanan (MWCN, 2004)

Randomized AB-Face-AB Routing Algorithms in Mobile Ad Hoc Networks. - Thomas Fevens; Alaa Eddien Abdallah; Badr Naciri Bennani (ADHOC-NOW, 2005)

Position-Based Routing on 3-D Geometric Graphs in Mobile Ad Hoc Networks. - George S.-C. Kao; Thomas Fevens; Jaroslav Opatrny (CCCG, 2005)

Toward Automatic Computer Aided Dental X-ray Analysis Using Level Set Method. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI, 2005)

A level set segmentation for computer-aided dental x-ray analysis. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Image Processing, 2005)

Automatic Clinical Image Segmentation Using Pathological Modelling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (MLDM, 2005)

Feature Preserving Volumetric Data Simplification for Application in Medical Imaging. - Chao Jin; Thomas Fevens; Shuo Li 001; Sudhir P. Mudur (WSCG (Full Papers), 2005)

Environment Lighting for Point Sampled Geometry. - Feng Liu; Sushil Bhakar; Thomas Fevens; Sudhir P. Mudur (CGIV, 2006)

Partitioning a Regular n-gon into n+1 Convex Congruent Pieces is Impossible, for Sufficiently Large n. - Dania El-Khechen; Thomas Fevens; John Iacono (CCCG, 2006)

Hybrid Position-Based 3D Routing Algorithms with Partial Flooding. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny (CCECE, 2006)

Fast and Robust Clinical Triple-Region Image Segmentation Using One Level Set Function. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (MICCAI (2), 2006)

Randomized 3D Position-based Routing Algorithms for Ad-hoc Networks. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny (MobiQuitous, 2006)

An automatic variational level set segmentation framework for computer aided dental X-rays analysis in clinical environments. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Comput. Medical Imaging Graph., 2006)

Algorithms for Computing Geometric Measures of Melodic Similarity. - Greg Aloupis; Thomas Fevens; Stefan Langerman; Tomomi Matsui; Antonio Mesa; Yurai Núñez Rodríguez; David Rappaport; Godfried T. Toussaint (Comput. Music. J., 2006)

Automatic clinical image segmentation using pathological modeling, PCA and SVM. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Song Li 003 (Eng. Appl. Artif. Intell., 2006)

A Class of Orientation-Invariant Yao-type Subgraphs of a Unit Disk Graph. - Thomas Fevens; Alaa Eddien Abdallah; Tarek El Salti; Louisa Harutyunyan (DIALM-POMC, 2007)

Power-Aware 3D Position-based Routing Algorithms for Ad Hoc Networks. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny (ICC, 2007)

Deflating the Pentagon. - Erik D. Demaine; Martin L. Demaine; Thomas Fevens; Antonio Mesa; Michael A. Soss; Diane L. Souvaine; Perouz Taslakian; Godfried T. Toussaint (KyotoCGGT, 2007)

Computer aided root lesion detection using level set and complex wavelets. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Computer-Aided Diagnosis, 2007)

Semi-automatic computer aided lesion detection in dental X-rays using variational level set. - Shuo Li 001; Thomas Fevens; Adam Krzyzak; Chao Jin; Song Li 003 (Pattern Recognit., 2007)

Motion learning-based framework for unarticulated shape animation. - Chao Jin; Thomas Fevens; Shuo Li 001; Sudhir P. Mudur (Vis. Comput., 2007)

Comparison of Pleomorphic and Structural Features Used for Breast Cancer Malignancy Classification. - Lukasz Jelen; Adam Krzyzak; Thomas Fevens (Canadian AI, 2008)

Partitioning a Polygon into Two Mirror Congruent Pieces. - Dania El-Khechen; John Iacono; Thomas Fevens; Günter Rote (CCCG, 2008)

Fast Progress-Based Routing in Sensing-Covered Networks. - Tarek El Salti; Thomas Fevens; Alaa Eddien Abdallah (GLOBECOM, 2008)

Local Algorithms for Dominating and Connected Dominating Sets of Unit Disk Graphs with Location Aware Nodes. - Jurek Czyzowicz; Stefan Dobrev; Thomas Fevens; Hernán González-Aguilar; Evangelos Kranakis; Jaroslav Opatrny; Jorge Urrutia (LATIN, 2008)

Hybrid Position-Based Routing Algorithms for 3D Mobile Ad Hoc Networks. - Song Liu; Thomas Fevens; Alaa Eddien Abdallah (MSN, 2008)

African Kuba textiles: structural inference and contemporary design using shape grammars. - Cheryl Kolak Dudek; Margarita Lypiridou; Nasim Sedaghat; Sudhir P. Mudur; Fred E. Szabo; Lydia Sharman; Thomas Fevens (SIGGRAPH Art Gallery, 2008)

Classification of Breast Cancer Malignancy Using Cytological Images of Fine Needle Aspiration Biopsies. - Lukasz Jelen; Thomas Fevens; Adam Krzyzak (Int. J. Appl. Math. Comput. Sci., 2008)

High delivery rate position-based routing algorithms for 3D ad hoc networks. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny (Comput. Commun., 2008)

Editorial. - Prosenjit Bose; Thomas Fevens (Comput. Geom., 2008)

Influence of nuclei segmentation on breast cancer malignancy classification. - Lukasz Jelen; Thomas Fevens; Adam Krzyzak (Computer-Aided Diagnosis, 2009)

Power-aware semi-beaconless 3D georouting algorithms using adjustable transmission ranges for wireless ad hoc and sensor networks. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny; Ivan Stojmenovic (Ad Hoc Networks, 2010)

Counting of RBCs and WBCs in noisy normal blood smear microscopic images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens; Ali Sadr (Computer-Aided Diagnosis, 2011)

Application of Pattern Recognition Techniques for the Analysis of Histopathological Images. - Adam Krzyzak; Thomas Fevens; Mehdi Habibzadeh; Lukasz Jelen (Computer Recognition Systems 4, 2011)

Analysis of White Blood Cell Differential Counts Using Dual-Tree Complex Wavelet Transform and Support Vector Machine Classifier. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

Oversampling Methods for Classification of Imbalanced Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICCVG, 2012)

Optimized keyframe extraction for 3D character animations. - Chao Jin; Thomas Fevens; Sudhir P. Mudur (Comput. Animat. Virtual Worlds, 2012)

Maintaining Path Stability with Node Failure in Mobile Ad Hoc Networks. - Abedalmotaleb Zadin; Thomas Fevens (ANT/SEIT, 2013)

Stable connections using multi-paths and conservative neighborhood ranges in mobile ad hoc networks. - Abedalmotaleb Zadin; Thomas Fevens (CCECE, 2013)

White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ICAISC (2), 2013)

3D Local Algorithm for Dominating Sets of Unit Disk Graphs. - Alaa Eddien Abdallah; Thomas Fevens; Jaroslav Opatrny (Ad Hoc Sens. Wirel. Networks, 2013)

Computer-Aided Breast Cancer Diagnosis Based on the Analysis of Cytological Images of Fine Needle Biopsies. - Pawel Filipczuk; Thomas Fevens; Adam Krzyzak; Roman Monczak (IEEE Trans. Medical Imaging, 2013)

Energy Efficient Stable Routing Using Adjustable Transmission Ranges in Mobile Ad Hoc Networks. - Abedalmotaleb Zadin; Thomas Fevens (ADHOC-NOW, 2014)

Comparative Study of Feature Selection for White Blood Cell Differential Counts in Low Resolution Images. - Mehdi Habibzadeh; Adam Krzyzak; Thomas Fevens (ANNPR, 2014)

Effect of HELLO interval duration on stable routing for mobile ad hoc networks. - Abedalmotaleb Zadin; Thomas Fevens (CCECE, 2014)

One-Class Classification Decomposition for Imbalanced Classification of Breast Cancer Malignancy Data. - Bartosz Krawczyk; Lukasz Jelen; Adam Krzyzak; Thomas Fevens (ICAISC (1), 2014)

Web-Based Framework For Breast Cancer Classification. - Tomasz Bruzdzinski; Adam Krzyzak; Thomas Fevens; Lukasz Jelen (J. Artif. Intell. Soft Comput. Res., 2014)

Minimizing Communication Interference for Stable Position-based Routing in Mobile Ad Hoc Networks. - Abedalmotaleb Zadin; Thomas Fevens (ANT/SEIT, 2015)

Impact of Varying Node Velocity and HELLO Interval Duration on Position-based Stable Routing in Mobile Ad Hoc Networks. - Abedalmotaleb Zadin; Thomas Fevens; Taoufik Bdiri (FNC/MobiSPC, 2016)

Influence of feature set reduction on breast cancer malignancy classification of fine needle aspiration biopsies. - Lukasz Jelen; Adam Krzyzak; Thomas Fevens; Michal Jelen (Comput. Biol. Medicine, 2016)

Neighborhood-based interference minimization for stable position-based routing in mobile ad hoc networks. - Abedalmotaleb Zadin; Thomas Fevens (Future Gener. Comput. Syst., 2016)

Cytological malignancy grading systems for fine needle aspiration biopsies of breast cancer. - Muneera Alsaedi; Thomas Fevens; Adam Krzyzak; Lukasz Jelen (BIBM, 2017)

Case-Based Histopathological Malignancy Diagnosis using Convolutional Neural Networks. - Qicheng Lao; Thomas Fevens (BMVC, 2017)

To Veer or Not to Veer: Learning from Experts How to Stay Within the Crosswalk. - Manfred Diaz; Roger Girgis; Thomas Fevens; Jeremy R. Cooperstock (ICCV Workshops, 2017)

Robust nuclei segmentation in cyto-histopathological images using statistical level set approach with topology preserving constraint. - Shaghayegh Taheri; Thomas Fevens; Tien D. Bui (Image Processing, 2017)

Leveraging Disease Progression Learning for Medical Image Recognition. - Qicheng Lao; Thomas Fevens; Boyu Wang 004 (BIBM, 2018)

Leveraging Disease Progression Learning for Medical Image Recognition. - Qicheng Lao; Thomas Fevens (CoRR, 2018)

The Concordia NLG Surface Realizer at SRST 2019. - Farhood Farahnak; Laya Rafiee; Leila Kosseim; Thomas Fevens (MSR@EMNLP-IJCNLP, 2019)

Dual Adversarial Inference for Text-to-Image Synthesis. - Qicheng Lao; Mohammad Havaei; Ahmad Pesaranghader; Francis Dutil; Lisa Di-Jorio; Thomas Fevens (ICCV, 2019)

Combined Degree-Based with Independent Dominating Set Approach for Controller Placement Problem in Software Defined Networks. - Abdunasser Alowa; Thomas Fevens (ICIN, 2019)

Nuclei Segmentation in Histopathological Images Using Two-Stage Learning. - Qingbo Kang; Qicheng Lao; Thomas Fevens (MICCAI (1), 2019)

Deep Neural Networks for Breast Cancer Diagnosis: Fine Needle Biopsy Scenario. - Bartosz Miselis; Thomas Fevens; Adam Krzyzak; Marek Kowal; Roman Monczak (PCBBE, 2019)

The TCGA Meta-Dataset Clinical Benchmark. - Mandana Samiei; Tobias Würfl; Tristan Deleu; Martin Weiss; Francis Dutil; Thomas Fevens; Geneviève Boucher; Sébastien Lemieux; Joseph Paul Cohen (CoRR, 2019)

Cell Phenotype Classification Using Deep Residual Network and Its Variants. - Qicheng Lao; Thomas Fevens (Int. J. Pattern Recognit. Artif. Intell., 2019)

3D Human Knee Flexion Angle Estimation Using Deep Convolutional Neural Networks. - Pouria Chalangari; Thomas Fevens; Hassan Rivaz (EMBC, 2020)

Towards Minimum Inter-Controller Delay Time in Software Defined Networking. - Abdunasser Alowa; Thomas Fevens (FNC/MobiSPC, 2020)

Unsupervised Anomaly Detection with a GAN Augmented Autoencoder. - Laya Rafiee; Thomas Fevens (ICANN (1), 2020)

A Dynamic Recovery Module for In-band Control Channel Failure In Software Defined Networking. - Abdunasser Alowa; Thomas Fevens (NetSoft, 2020)

Boosting Segmentation Performance across Datasets using Histogram Specification with Application to Pelvic Bone Segmentation. - Prabhakara Subramanya Jois; Aniketh Manjunath; Thomas Fevens (BIBM, 2021)

Uncertainty-Aware Policy Sampling and Mixing for Safe Interactive Imitation Learning. - Manfred Diaz; Thomas Fevens; Liam Paull (CRV, 2021)

Improving Accuracy and Runtime of Skeletal Tracking of Lower Limbs for Athletic Jump Mechanics Assessment. - Aloys Portafaix; Thomas Fevens (EMBC, 2021)

Uncertainty Quantification and Estimation in Medical Image Classification. - Sidi Yang; Thomas Fevens (ICANN (3), 2021)

on the effectiveness of generative adversarial network on anomaly detection. - Laya Rafiee Sevyeri; Thomas Fevens (CoRR, 2021)

FoCL: Feature-oriented continual learning for generative models. - Qicheng Lao; Mehrzad Mortazavi; Marzieh Tahaei; Francis Dutil; Thomas Fevens; Mohammad Havaei (Pattern Recognit., 2021)

AD-CGAN: Contrastive Generative Adversarial Network for Anomaly Detection. - Laya Rafiee Sevyeri; Thomas Fevens (ICIAP (1), 2022)

Survival backup strategy for controller placement problem in Software Defined Networking. - Abdunasser Alowa; Thomas Fevens; Yaser M. Khamayseh (Comput. Commun., 2022)

An Image Classification Approach to Pre-Determine Extent of Development of Post-Operative Necrosis in Skin Flaps. - Gabriella Spacagna; Thomas Fevens; Jake Barralet (EMBC, 2023)

Source-free Domain Adaptation Requires Penalized Diversity. - Laya Rafiee Sevyeri; Ivaxi Sheth; Farhood Farahnak; Alexandre See; Samira Ebrahimi Kahou; Thomas Fevens; Mohammad Havaei (CoRR, 2023)

Brain MRI Tumour Localization and Segmentation Through Deep Learning. - Somayeh Davar; Thomas Fevens (MWSCAS, 2024)

Comparing a Portable Motion Analysis System against the Gold Standard for Potential Anterior Cruciate Ligament Injury Prevention and Screening. - 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 (Sensors, 2024)

Comparing the Drop Vertical Jump Tracking Performance of the Azure Kinect to the Kinect V2. - Patrik Abdelnour; Kevin Y. Zhao; Athanasios Babouras; Jason Philip Aaron Hiro Corban; Nicolaos Karatzas; Thomas Fevens; Paul A. Martineau (Sensors, 2024)

Comparing novel smartphone pose estimation frameworks with the Kinect V2 for knee tracking during athletic stress tests. - Athanasios Babouras; Patrik Abdelnour; Thomas Fevens; Paul A. Martineau (Int. J. Comput. Assist. Radiol. Surg., 2024)

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach. - Iing Muttakhiroh; Thomas Fevens (Canadian AI, 2025)

Memristive Implementation of Variable Pixel MRI Imaging Using Skywater 130nm PDK. - Anitha Gopi; Somayeh Davar; Vineeta Vasudevan Nair; Aleena Kabeer; Thomas Fevens; Alex James (ISCAS, 2025)

Tackling Distribution Shift in LLM via KILO: Knowledge-Instructed Learning for Continual Adaptation. - Iing Muttakhiroh; Thomas Fevens (CoRR, 2025)

Enhanced U-Net Architecture for Brain Tumor Localization and Segmentation in T1-Weighted MRI. - Somayeh Davar; Thomas Fevens (IEEE Trans. Circuits Syst. II Express Briefs, 2025)