By Dr Imran Razzak

Conference Papers

Qayyum A; Mazher M; Lee A; Solis-Lemus JA; Razzak I; Niederer SA, 2025, 'Assessment of Left Atrium Motion Deformation Through Full Cardiac Cycle', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 432 - 442, http://dx.doi.org/10.1007/978-981-96-0351-0_32

Alsuhaibani A; Razzak I; Jameel S; Wang X; Xu G, 2025, 'CLIMB: Imbalanced Data Modelling Using Contrastive Learning with Limited Labels', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 60 - 75, http://dx.doi.org/10.1007/978-981-96-0573-6_5

Thapa S; Rauniyar K; Veeramani H; Shah A; Razzak I; Naseem U, 2025, 'Did You Tell a Deadly Lie? Evaluating Large Language Models for Health Misinformation Identification', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 391 - 405, http://dx.doi.org/10.1007/978-981-96-0576-7_29

Azam U; Razzak I; Vishwakarma S; Hacid H; Zhang D; Jameel S, 2025, 'Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 326 - 337, http://dx.doi.org/10.1007/978-981-96-0573-6_24

Shao D; Liu X; Razzak I; Wickramasinghe N; Lu X, 2024, 'Contrastive Learning with Self-reconstruction for 3D Intracranial Aneurysm Detection', in Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, ACM, pp. 44 - 52, presented at MM '24: The 32nd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3688868.3689192

Lu X; Yue W; Razzak I; Hu K; Lv J; Zhang S; Hou J; Wang Z; Luo J; Xiang W, 2024, 'MCHM '24: The 1st International Workshop on Multimedia Computing for Health and Medicine', in Proceedings of the 1st International Workshop on Multimedia Computing for Health and Medicine, ACM, pp. 1 - 1, presented at MM '24: The 32nd ACM International Conference on Multimedia, http://dx.doi.org/10.1145/3688868.3696060

Khan TM; Iqbal S; Naqvi SS; Razzak I; Meijering E, 2024, 'LMBF-Net: A Lightweight Multipath Bidirectional Focal Attention Network For Multifeatures Segmentation', in 2024 IEEE International Conference on Image Processing (ICIP), IEEE, pp. 2807 - 2813, presented at 2024 IEEE International Conference on Image Processing (ICIP), 27 October 2024 - 30 October 2024, http://dx.doi.org/10.1109/icip51287.2024.10647542

Chen S; Naseem U; Razzak I; Salim F, 2024, 'Unveiling Misogyny Memes: A Multimodal Analysis of Modality Effects on Identification', in WWW 2024 Companion - Companion Proceedings of the ACM Web Conference, pp. 1864 - 1871, http://dx.doi.org/10.1145/3589335.3651974

Jiang J; Zhao L; Lu X; Hu W; Razzak I; Wang M, 2024, 'DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning', in Proceedings of the AAAI Conference on Artificial Intelligence, pp. 12883 - 12891, http://dx.doi.org/10.1609/aaai.v38i11.29185

Alsuhaibani A; Zogan H; Razzak I; Jameel S; Xu G, 2024, 'IDoFew: Intermediate Training Using Dual-Clustering in Language Models for Few Labels Text Classification', in WSDM 2024 - Proceedings of the 17th ACM International Conference on Web Search and Data Mining, pp. 18 - 27, http://dx.doi.org/10.1145/3616855.3635849

Masood A; Naseem U; Rashid J; Razzak I, 2024, 'Automated Detection and Segmentation of Glioblastoma in MRI Using Multi-Level Diffusion Transformer U-Net', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI56570.2024.10635860

Qayyum A; Niederer S; Ahamed Khan MKA; Mazher M; Razzak I; Mokayef M; Hassan CS; Ridzuan M, 2024, 'Magnetic Resonance Spectroscopy (MRS) Reconstruction Using Style Transfer Deep Depth wise Framework', in Proceedings of International Conference on Artificial Life and Robotics, pp. 209 - 214

Qayyum A; Niederer S; Ahamed Khan MKA; Mazher M; Razzak I; Mokayef M; Hassan CS; Ridzuan Bin Abd Hamid A, 2024, 'Parallel Cross Window Attention Transformer and CNN Model for Segmentation of Instrument during Surgery', in Proceedings of International Conference on Artificial Life and Robotics, pp. 204 - 208

Chen S; Naseem U; Razzak I, 2023, 'Debunking Biases in Attention', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 141 - 150, http://dx.doi.org/10.18653/v1/2023.trustnlp-1.13

Khan TM; Arsalan M; Iqbal S; Razzak I; Meijering E, 2023, 'Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 160 - 167, http://dx.doi.org/10.1109/DICTA60407.2023.00030

Iqbal MZ; Razzak I; Qayyum A; Khan T; Sowmya A, 2023, 'Hybrid Unsupervised Deformable Image Registration for 4D CT Lung Image Intra-modalities', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 441 - 447, http://dx.doi.org/10.1109/DICTA60407.2023.00067

Akinniyi O; Razzak I; Rahman MM; Sandhu H; El-Baz A; Khalifa F, 2023, 'Multi-Classification of Retinal Diseases Using a Pyramidal Ensemble Deep Framework', in Proceedings - International Conference on Image Processing, ICIP, pp. 1945 - 1949, http://dx.doi.org/10.1109/ICIP49359.2023.10222074

Masood A; Naseem U; Razzak I, 2023, 'Multi-Scale Swin Transformer Enabled Automatic Detection and Segmentation of Lung Metastases Using CT Images', in Proceedings - International Symposium on Biomedical Imaging, http://dx.doi.org/10.1109/ISBI53787.2023.10230663

Qayyum A; Mazher M; Razzak I; Niederer S, 2023, 'Multiscale Kernel Atrous Convolution Network for Segmentation of Myocardium', in 2023 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2023, pp. 9 - 15, http://dx.doi.org/10.1109/DICTA60407.2023.00011

Yang D; Montero J; Li T; Xu G; Yang X; Li L; Unger H; Hu J; Du S; Luo C; Li Z; Chen H; Wang H; Razzak I; Han M; Vanderhaegen F; Tao X; Shen Y; Luo H; Li C; Luo Z; Zhang F; Gu J; Lv F; Bai Q; He W; Lyu P; Liu Q; Qiu L; Wu X; Zhao F; Xia F; Xie H; Yang H; Yin H; Zeng X, 2023, 'Preface', in 2023 3rd International Conference on Digital Society and Intelligent Systems, DSInS 2023, pp. i - iii, http://dx.doi.org/10.1109/DSInS60115.2023.10455366

Boone-Sifuentes T; Bouadjenek MR; Razzak I; Hacid H; Nazari A, 2022, 'A Mask-based Output Layer for Multi-level Hierarchical Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3833 - 3837, http://dx.doi.org/10.1145/3511808.3557534

Boone-Sifuentes T; Nazari A; Razzak I; Bouadjenek MR; Robles-Kelly A; Ierodiaconou D; Oh ES, 2022, 'Marine-tree: A Large-scale Marine Organisms Dataset for Hierarchical Image Classification', in International Conference on Information and Knowledge Management, Proceedings, pp. 3838 - 3842, http://dx.doi.org/10.1145/3511808.3557634

Thapa S; Shah A; Jafri FA; Naseem U; Razzak I, 2022, 'A Multi-Modal Dataset for Hate Speech Detection on Social Media: Case-study of Russia-Ukraine Conflict', in CASE 2022 - 5th Workshop on Challenges and Applications of Automated Extraction of Socio-Political Events from Text, Proceedings of the Workshop, pp. 1 - 6, http://dx.doi.org/10.18653/v1/2022.case-1.1

Khan PI; Razzak I; Dengel A; Ahmed S, 2022, 'A Novel Approach to Train Diverse Types of Language Models for Health Mention Classification of Tweets', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 136 - 147, http://dx.doi.org/10.1007/978-3-031-15931-2_12

Huynh ND; Bouadjenek MR; Hassani A; Razzak I; Lee K; Arora C; Zaslavsky A, 2022, 'Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment', in Proceedings - IEEE International Conference on Mobile Data Management, pp. 318 - 321, http://dx.doi.org/10.1109/MDM55031.2022.00070

Kausar A; Razzak I; Shapiai I; Alshammari R, 2021, 'An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534418

Naseem U; Khushi M; Reddy V; Rajendran S; Razzak I; Kim J, 2021, 'BioALBERT: A Simple and Effective Pre-trained Language Model for Biomedical Named Entity Recognition', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533884

Dipongkor AK; Islam MS; Kayesh H; Hossain MS; Anwar A; Rahman KA; Razzak I, 2021, 'DAAB: Deep Authorship Attribution in Bengali', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533619

Jawad I; Ahmed J; Razzak I; Doss R, 2021, 'Identifying DNS Exfiltration based on Lexical Attributes of Query Name', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534276

Rashid AH; Razzak I; Tanveer M; Robles-Kelly A, 2021, 'RipDet: A Fast and Lightweight Deep Neural Network for Rip Currents Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533849

Aryal S; Baniya AA; Razzak I; Santosh KC, 2021, 'SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9534162

Islam MR; Razzak I; Wang X; Tilocca P; Xu G, 2021, 'UCBVis: Understanding Customer Behavior Sequences with Visual Interactive System', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN52387.2021.9533354

Zogan H; Razzak I; Jameel S; Xu G, 2021, 'DepressionNet: Learning Multi-modalities with User Post Summarization for Depression Detection on Social Media', in SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 133 - 142, http://dx.doi.org/10.1145/3404835.3462938

Islam MR; Zhang J; Ashmafee MH; Razzak I; Zhou J; Wang X; Xu G, 2021, 'ExVis: Explainable Visual Decision Support System for Risk Management', in Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021, http://dx.doi.org/10.1109/BESC53957.2021.9635491

Saadatmand M; Rauf A; Anwar S; Ramzan M; Razzak I, 2021, 'Message from the NLP-SEA 2021 Chairs', in Proceedings - 2021 36th IEEE/ACM International Conference on Automated Software Engineering Workshops, ASEW 2021, pp. XXIII, http://dx.doi.org/10.1109/ASEW52652.2021.00012

Islam MR; Liu S; Razzak I; Kabir MA; Wang X; Tilocca P; Xu G, 2020, 'MHIVis: Visual Analytics for Exploring Mental Illness of Policyholders in Life Insurance Industry', in Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020, http://dx.doi.org/10.1109/BESC51023.2020.9348301

Razzak I, 2020, 'Cooperative Evolution Multiclass Support Matrix Machines', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207164

Razzak I; Kamran I; Naz S, 2020, 'Deep Analysis of Handwritten Notes for Early Diagnosis of Neurological Disorders', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207087

Alnefaie A; Gupta D; Bhuyan MH; Razzak I; Gupta P; Prasad M, 2020, 'End-to-End Analysis for Text Detection and Recognition in Natural Scene Images', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207001

Riaz SA; Naz S; Razzak I, 2020, 'Multipath Deep Shallow Convolutional Networks for Large Scale Plant Species Identification in Wild Image', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207113

Razzak I; Khan TM, 2020, 'One-Class Support Tensor Machines with Bounded Hinge Loss Function for Anomaly Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207429

Razzak I; Shoukat G; Naz S; Khan TM, 2020, 'Skin Lesion Analysis Toward Accurate Detection of Melanoma using Multistage Fully Connected Residual Network', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9206881

Naseem U; Razzak I; Eklund P; Musial K, 2020, 'Towards Improved Deep Contextual Embedding for the identification of Irony and Sarcasm', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207237

Ahmed SB; Naz S; Razzak I; Prasad M, 2020, 'Unconstrained Arabic Scene Text Analysis using Concurrent Invariant Points', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN48605.2020.9207283

Naseem U; Khan SK; Razzak I; Hameed IA, 2019, 'Hybrid Words Representation for Airlines Sentiment Analysis', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 381 - 392, http://dx.doi.org/10.1007/978-3-030-35288-2_31

Razzak MI; Saris RA; Blumenstein M; Xu G, 2018, 'Robust 2D Joint Sparse Principal Component Analysis with F-Norm Minimization for Sparse Modelling: 2D-RJSPCA', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489541

Ahmed SB; Naz S; Razzak MI; Yusof R, 2018, 'Cursive scene text analysis by deep convolutional linear pyramids', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 307 - 318, http://dx.doi.org/10.1007/978-3-030-04167-0_28

Saeed Z; Abbasi RA; Sadaf A; Razzak MI; Xu G, 2018, 'Text stream to temporal network - A dynamic heartbeat graph to detect emerging events on twitter', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 534 - 545, http://dx.doi.org/10.1007/978-3-319-93037-4_42

Razzak MI; Naz S, 2017, 'Microscopic Blood Smear Segmentation and Classification Using Deep Contour Aware CNN and Extreme Machine Learning', in IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 801 - 807, http://dx.doi.org/10.1109/CVPRW.2017.111

Bin Ahmed S; Naz S; Razzak MI; Yousaf R, 2017, 'Deep Learning based Isolated Arabic Scene Character Recognition', in 2017 1ST INTERNATIONAL WORKSHOP ON ARABIC SCRIPT ANALYSIS AND RECOGNITION (ASAR), IEEE, FRANCE, Nancy, pp. 46 - 51, presented at 1st IEEE International Workshop on Arabic Script Analysis and Recognition (ASAR), FRANCE, Nancy, 03 April 2017 - 05 April 2017, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000426941500010&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

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