| 2025 | ICDM | Explainability-Guided Defense: Attribution-Aware Model Refinement Against Adversarial Data Attacks. | Longwei Wang, Mohammad Navid Nayyem, Abdullah Al Rakin, KC Santosh, Chaowei Zhang, Yang Zhou |
| 2025 | ICIP | SCL-GAN: Spatially-Correlative Lightweight GAN for Efficient and High-Fidelity Thermal-Visible Face Synthesis. | Nand Kumar Yadav, Rayeesa Mehmood, Rodrigue Rizk, KC Santosh |
| 2025 | MICCAI | Expert-Guided Explainable Few-Shot Learning for Medical Image Diagnosis. | Ifrat Ikhtear Uddin, Longwei Wang, KC Santosh |
| 2022 | CBMS | MobApp4InfectiousDisease: Classify COVID-19, Pneumonia, and Tuberculosis. | Md. Kawsher Mahbub, Md. Zakir Hossain Zamil, Md. Abdul Mozid Miah, Partho Ghose, Milon Biswas, KC Santosh |
| 2022 | CBMS | Ensemble Framework for Unsupervised Cervical Cell Segmentation. | Agnimitra Sen, Shyamali Mitra, Sukanta Chakraborty, Debashri Mondal, KC Santosh, Nibaran Das |
| 2021 | CBMS | Tumor Segmentation in Brain MRI: U-Nets versus Feature Pyramid Network. | Sourodip Ghosh, KC Santosh |
| 2021 | CBMS | Improved Gastrointestinal Screening: Deep Features using Stacked Generalization. | Sourodip Ghosh, KC Santosh |
| 2021 | CBMS | Ret-GAN: Retinal Image Enhancement using Generative Adversarial Networks. | KC Santosh, Sourodip Ghosh, Moinak Bose |
| 2021 | IJCNN | SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms. | Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh |
| 2021 | SMC | Explainable AI to Analyze Outcomes of Spike Neural Network in Covid-19 Chest X-rays. | Md Sarwar Kamal, Linkon Chowdhury, Nilanjan Dey, Simon James Fong, KC Santosh |
| 2020 | CBMS | Periodic Change Detection in Fetal Heart Rate Using Cardiotocograph. | Sahana Das, Himadri Mukherjee, KC Santosh, Chanchal Kumar Saha, Kaushik Roy |
| 2020 | CBMS | Cross-Population Train/Test Deep Learning Model: Abnormality Screening in Chest X-Rays. | Dipayan Das, KC Santosh, Umapada Pal |
| 2020 | CBMS | Improved Skin Disease Classification Using Generative Adversarial Network. | Bisakh Mondal, Nibaran Das, KC Santosh, Mita Nasipuri |
| 2020 | CBMS | OCTx: Ensembled Deep Learning Model to Detect Retinal Disorders. | Dipam Paul, Alankrita Tewari, Sourodip Ghosh, KC Santosh |
| 2020 | CBMS | Deep Neural Network for Foreign Object Detection in Chest X-Rays. | KC Santosh, Mrinal K. Dhar, Ramina Rajbhandari, Amul Neupane |
| 2020 | ICPR | Inception-based Deep Learning Architecture for Tuberculosis Screening using Chest X-rays. | Dipayan Das, KC Santosh, Umapada Pal |
| 2019 | ICDAR | Identifying the Presence of Graphical Texts in Scene Images using CNN. | Mridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das, Kaushik Roy |
| 2019 | ICDAR | GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection. | Swarnendu Ghosh, Prasenjit Shaw, Nibaran Das, KC Santosh |
| 2015 | CBMS | Stitched Multipanel Biomedical Figure Separation. | KC Santosh, Sameer K. Antani, George R. Thoma |
| 2015 | CBMS | Automatic Pulmonary Abnormality Screening Using Thoracic Edge Map. | KC Santosh, Szilrd Vajda, Sameer K. Antani, George R. Thoma |
| 2014 | CBMS | Rotation Detection in Chest Radiographs Based on Generalized Line Histogram of Rib-Orientations. | KC Santosh, Sema Candemir, Stefan Jger, Les R. Folio, Alexandros Karargyris, Sameer K. Antani, George R. Thoma |
| 2014 | ICFHR | Automatic Handwritten Indian Scripts Identification. | Rajmohan Pardeshi, B. B. Chaudhuri, Mallikarjun Hangarge, KC Santosh |
| 2014 | ICPR | Scalable Arrow Detection in Biomedical Images. | KC Santosh, Laurent Wendling, Sameer K. Antani, George R. Thoma |
| 2013 | IBPRIA | Pattern-Based Approach to Table Extraction. | KC Santosh, Abdel Belad |
| 2013 | ICDAR | Directional Discrete Cosine Transform for Handwritten Script Identification. | Mallikarjun Hangarge, KC Santosh, Rajmohan Pardeshi |
| 2013 | ICDAR | Document Information Extraction and Its Evaluation Based on Client's Relevance. | KC Santosh, Abdel Belad |
| 2013 | ICDAR | Relation Bag-of-Features for Symbol Retrieval. | KC Santosh, Laurent Wendling, Bart Lamiroy |
| 2013 | MVA | Handwritten and Printed Text Separation in Real Document. | Abdel Belad, KC Santosh, Vincent Poulain D'Andecy |
| 2013 | MVA | Client-Driven Content Extraction Associated with Table. | KC Santosh, Abdel Belad |
| 2011 | ACIVS | DTW for Matching Radon Features: A Pattern Recognition and Retrieval Method. | KC Santosh, Bart Lamiroy, Laurent Wendling |
| 2011 | ICDAR | Character Recognition Based on DTW-Radon. | KC Santosh |
| 2010 | ICFHR | Spatial Similarity Based Stroke Number and Order Free Clustering. | KC Santosh, Cholwich Nattee, Bart Lamiroy |
| 2010 | ICPR | Using Spatial Relations for Graphical Symbol Description. | KC Santosh, Laurent Wendling, Bart Lamiroy |
| 2009 | ICDAR | Inductive Logic Programming for Symbol Recognition. | KC Santosh, Bart Lamiroy, Jean-Philippe Ropers |
| 2006 | PRICAI | Stroke Number and Order Free Handwriting Recognition for Nepali. | KC Santosh, Cholwich Nattee |