2025
10 journal articles,
0 book chapters and
19 conference proceedings
-
C Wall, L Wang, R Rizk, KC Santosh:
Winsor-CAM: Human-Tunable Visual Explanations from Deep Networks via Layer-Wise Winsorization,
IEEE Transactions on Pattern Analysis & Machine Intelligence
(2025, revision 2).
arXiv
-
H Wang, X Xiong, M Lan, Y Chu, Z Jiang, KC Santosh, S Wang, R Zhong:
PC-SNN: Predictive Coding-based Local Hebbian Plasticity Learning in Spiking Neural Networks,
Neurocomputing
(2025, major revision).
arXiv
-
NR Rasmussen, R Rizk, L Wang, KC Santosh:
Ecologically Valid Benchmarking and Adaptive Attention: Scalable Marine Bioacoustic Monitoring,
IEEE Transactions on Artificial Intelligence
(2025, under review).
arXiv
-
Shomoita Jahid Mitin, Rodrigue Rizk, Maximilian Scherer, Thomas Koeglsperger,
Daniel Lench, KC Santosh, Arun Singh:
Bi-cephalic self-attended model to classify Parkinson's disease patients with freezing of gait,
European Journal of Neuroscience
(2025, minor revision).
arXiv
-
L Wang, I Uddin, KC Santosh:
Expert-Guided Explainable Few-Shot Learning with Active Sample Selection for Medical Image Analysis,
IEEE Journal of Biomedical and Health Informatics
(2025).
-
Shotabdi Roy, Joseph Nuamah, Taylor J Bosch, Richa Barsainya,
Maximilian Scherer, Thomas Koeglsperger, KC Santosh, Arun Singh:
EEG-Based Classification of Parkinson's Disease With Freezing of Gait Using Midfrontal Beta Oscillations,
Journal of Integrative Neuroscience
(2025).
DOI
-
A Jain, SR Dubey, SK Singh, KC Santosh, BB Chaudhuri:
Non-Uniform Illumination Attack for Fooling Convolutional Neural Networks,
IEEE Transactions on Artificial Intelligence
(2025).
DOI
-
A Goenka, S Mitra, KC Santosh, M Naskar, N Das:
An algorithmic approach to construct the library of universal logic gates beyond NAND and NOR,
Integration
, Elsevier
(2025).
DOI
-
J Dhar, M Haghighat, N Zaidi, F Sohel, B-Q Vo, KC Santosh:
Towards Building Robust Models for Unimodal and Multimodal Medical Imaging Data,
Information Fusion
, Elsevier
(2025).
DOI
-
Mohammed A Chowdhury, Rodrigue Rizk, Conroy Chiu, Jing J Zhang,
Jamie L Scholl, Taylor J Bosch, Arun Singh, Lee A Baugh,
Jeffrey S McGough, KC Santosh, William CW Chen:
The heart of transformation: exploring artificial intelligence in cardiovascular disease,
Biomedicines
(2025).
DOI
Conference proceedings:
ICDM (1), NeurIPS (1), MICCAI (1), ICIP (1), AAAI (2),
IEEE COgMI (1, invited paper - vision), ISPR (1, best paper award),
IHCI (1, best paper award), IEEE ISBI (1),
IEEE CAI (5, best paper award(1)), RTIP2R (4, best paper award (1))
2024
2 journal articles,
0 book chapters and
13 conference proceedings
-
A Vettoruzzo, MR Bouguelia, J Vanschoren, T Rognvaldsson, KC Santosh:
Advances and Challenges in Meta-Learning: A Technical Review,
IEEE Transactions on Pattern Analysis & Machine Intelligence
(2024).
DOI
-
H Mukherjee, A Dhar, Sk Md Obaidullah, KC Santosh, S Phadikar, K Roy, U Pal:
LIFA: Language Identification From Audio with LPCC-G Features,
Multimedia Tools & Applications
, Springer
(2024).
DOI
Conference proceedings:
IEEE CAI (3), IEEE CogMI (1), CIPR (3), RTIP2R (2, best paper award (1)),
CVMI (3), DAL (2)
2023
8 journal articles,
0 book chapters and
7 conference proceedings
-
KC Santosh and S. Antani:
Multimodal Learning in Medical Imaging and Informatics,
IEEE Journal of Biomedical & Health Informatics
(2023).
DOI
-
D GhoshRoy, PA Alvi, KC Santosh:
Leveraging sampling schemes on skewed class distribution to enhance male fertility detection with ensemble AI learners,
International Journal of Artificial Intelligence Tools, World Scientific
(2023).
DOI
-
KC Santosh, D GhoshRoy, S Nakarmi:
A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022,
Healthcare, MDPI
(2023).
DOI
-
D Ghoshroy, PA Alvi, and KC Santosh:
Unboxing industry-standard AI models for male fertility prediction with SHAP,
Artificial Intelligence in Medicine, Healthcare, MDPI
(2023).
DOI
-
A Makkar and KC Santosh:
SecureFed: Federated learning empowered medical imaging technique to analyze lung abnormalities in chest x-rays,
International Journal of Machine Learning and Cybernetics, Springer
(2023).
DOI
-
N Das, KC Santosh, L Shen, S Chakraborty:
Cervical Cancerous Cell Classification: Opposition-based Harmony Search for Deep Feature Selection,
International Journal of Machine Learning & Cybernetics, Springer
(2023).
DOI
-
D Ghoshroy, PA Alvi, and KC Santosh:
AI Tools for Assessing Human Fertility using Risk Factors: A State-of-the-Art Review,
Journal of Medical Systems, Springer
(2023).
DOI
-
S Roy and KC Santosh:
Analyzing Non-biological Foreign Objects in Chest X-rays – Clinical Significance and AI tools,
Healthcare, MDPI
(2023).
DOI
-
D Ghoshroy, PA Alvi, and KC Santosh:
eXplainable AI to predict male fertility using extreme gradient boosting algorithm with SMOTE,
Electronics – Feature Papers in Computer Science & Engineering, MDPI
(2023).
DOI
Conference proceedings:
IEEE CAI (4), RTIP2R (3)
2022
10 journal articles,
0 book chapters and
10 conference proceedings
-
T Ghosh, S Sen, Sk Md Obaidullah, KC Santosh, K Roy, and U Pal:
Advances in Online Handwritten Recognition in the last decades,
Computer Science Review, Elsevier
(2022).
DOI
-
KC Santosh, S Allu, S Rajaraman, S Antani:
Advances in Deep Learning for Tuberculosis Screening using Chest X-rays: The last 5-Year Systematic Review,
Journal of Medical Systems, Springer
(2022).
DOI
-
KC Santosh and S Ghosh:
Covid-19 versus Lung Cancer: Understanding chest CT images through Deep Ensemble Neural Networks,
International Journal of Artificial Intelligence Tools, World Scientific
(2022).
DOI
-
S Raman, V Gupta, P Nagrath, and KC Santosh:
Hate and aggression analysis in NLP using interpretable AI,
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific
(2022).
-
KC Santosh, N Rasmussen, M Mamun, S Aryal:
A systematic review on cough sound analysis for Covid-19 diagnosis and screening: is my cough sound COVID-19?,
PeerJ Computer Science
(2022).
DOI
-
F Alenezia, A Armghana, KC Santosh:
Underwater image dehazing using global color features,
Engineering Applications of Artificial Intelligence, Elsevier
(2022).
DOI
-
Md S Kamal, L Chowdhury, S Hasan, N Dey, and KC Santosh:
Explainable AI for Glaucoma Prediction Analysis to Understand Risk Factors in Treatment Planning,
IEEE Transactions on Instrumentation & Measurement
(2022).
DOI
-
S Pandey, V Chouhan, D Verma, S Rajrah, R Saini, and KC Santosh:
Do-It-Yourself Recommender System: Reusing and Recycling with Blockchain and Deep Learning,
IEEE Access
(2022).
DOI
-
KC Santosh, S Ghosh, D GhoshRoy:
Deep Learning for Covid-19 Screening using Chest X-rays in 2020: A Systematic Review,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2022).
DOI
-
Md Kawsher, M Biswas, L Gaur, F Alenezi, and KC Santosh:
Deep Features to Detect Pulmonary Abnormalities in Chest X-rays due to Infectious DiseaseX: Covid-19, Pneumonia, and Tuberculosis,
Information Sciences, Vol 492, Elsevier
(2022).
DOI
Conference proceedings:
IEEE CBMS (2), IEEE CVMI (1), RTIP2R (7)
2021
17 journal articles,
0 book chapters and
18 conference proceedings
-
TJ Bosch, R Barsainya, A Ridder, KC Santosh, and A Singh:
Interval timing and midfrontal delta oscillations are impaired in Parkinson's disease patients with freezing of gait,
Journal of Neurology, Springer
(2021).
DOI
-
KC Santosh:
Current Trends in Image Processing and Pattern Recognition,
Frontiers in Robotics and AI
(2021).
DOI
-
V Gupta, KC Santosh, R Arora, T Ciano, KS Kalid, S Mohan:
Socioeconomic impact due to COVID-19: An empirical assessment,
Information Processing and Management, Elsevier
(2021).
DOI
-
S Majumder, S Chowdhury, N Dey, and KC Santosh:
Balance Your Work-Life: Personal Interactive Web-Interface,
International Journal Of Interactive Multimedia And Artificial Intelligence
(2021).
DOI
-
KC Santosh and S Ghosh:
Covid-19 medical imaging tools: how big data is big?,
Journal of Medical Systems, Springer
(2021).
DOI
-
J-C Burie, A Fornés, KC Santosh, and MM Luqman:
Deep learning for graphics recognition: document understanding and beyond,
International Journal of Document Analysis and Recognition
(2021).
DOI
-
A Koilada, N Das, KC Santosh:
Cervical Cancerous Cell Classification: Opposition-based Harmony Search for Deep Features Selection,
Engineering Applications of Artificial Intelligence, Elsevier
(2021).
DOI
-
H Mukherjee, H Salam, KC Santosh:
Lung Health Analysis: Adventitious Respiratory Sound Classification Using Filterbank Energies,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2021).
DOI
-
S Ghosh, A Chaki, KC Santosh:
Improved U-Net architecture with VGG-16 for brain tumor segmentation,
Physical and Engineering Sciences in Medicine, Springer
(2021).
DOI
-
P Pirasteh, MR Bouguelia, KC Santosh:
Personalized Recommendation: An Enhanced Hybrid Collaborative Filtering,
Advances in Computational Intelligence, Springer
(2021).
DOI
-
N Jain, V Gupta, KC Santosh:
Understanding Cartoon Emotion using Integrated Deep Neural Network on Large Dataset,
Neural Computing and Applications, Springer
(2021).
DOI
-
M Ghosh, H Mukherjee, Obaidullah Sk, KC Santosh, N Das, Kaushik Roy:
LWSINet: A deep learning-based approach towards video script identification,
Multimedia Tools and Applications, Springer
(2021).
DOI
-
M Ghosh, S Roy, H Mukherjee, Sk Md Obaidullah, KC Santosh, K Roy:
Understanding movie poster: Transfer-deep learning approach for graphic-rich text recognition,
The Visual Computer, Springer
(2021).
DOI
-
Md N Yousuf Ali, Md L Rahman, J Chaki, N Dey, KC Santosh:
Machine Translation using Deep Learning for Universal Networking Language based on their Structure,
International Journal of Machine Learning & Cybernetics, Springer
(2021).
DOI
-
F Alenezi, KC Santosh:
Geometric Regularized Hopfield Neural Network for Medical Image Enhancement,
International Journal of Biomedical Imaging
(2021).
DOI
-
S Ghosh, A Bandyopadhyay, S Sahay, R Ghosh, I Kundu, KC Santosh:
Colorectal Histology Tumor Detection using Ensemble Deep Neural Network,
Engineering Applications of Artificial Intelligence, Elsevier
(2021).
DOI
-
D Ruikar, KC Santosh, R Hegadi, L Rupnar, V Chaudhary:
5K+ CT Images on Fractured Limbs: A Dataset for Medical Imaging Research,
Journal of Medical Systems, Springer
(2021).
DOI
Conference proceedings:
CCIB(1), IEEE CBMS(4), IJCNN (1), AMLDA(1), and RTIP2R(11)
2020
18 journal articles,
2 book chapters and
14 conference proceedings
-
B Cankaya, B Eren Tokgoz, A Dag, and KC Santosh:
Development of a Machine-Learning-Based Decision Support Mechanism for Predicting Chemical Tanker Cleaning Activity,
Journal of Modelling in Management
(2020).
-
H Mukherjee, P Sreerama, K Roy, Z Temesgen, and KC Santosh:
Automatic lung health screening using respiratory sounds,
Journal of Medical Systems, Springer
(2020).
DOI
-
A Maiti, B Chaterjee, and KC Santosh:
Skin Cancer Classification through Quantized color features and Generative Adversarial Network,
International Journal of Ambient Computing and Intelligence
(2020).
-
H Mukherjee, A Dhar, Sk Obaidullah, KC Santosh, S Phadikar, Kaushik Roy:
Identifying Language from Songs,
Multimedia Tools and Applications, Springer
(2020).
DOI
-
A Banerjee, N Das, and KC Santosh:
Weber Local Descriptor for Image Analysis and Recognition: A Review,
The Visual Computer, Springer
(2020).
DOI
-
H Mukherjee, S Ghosh, A Dhar, Sk Obaidullah, KC Santosh, K Roy:
Shallow Convolutional Neural Networks for COVID-19 Outbreak Screening using Chest X-rays,
Cognitive Computation, Springer
(2020).
DOI
-
H Mukherjee, S Ghosh, A Dhar, Sk Obaidullah, KC Santosh, K Roy:
Deep Neural Network to Detect COVID-19: One Architecture for both Chest X-rays and CT Scans,
Applied Intelligence, Springer
(2020).
DOI
-
HR Bhapkar, P Mahalle, N Dey, KC Santosh:
Revisited COVID-19 mortality and recovery rates: are we missing recovery time period?,
Journal of Medical Systems, Springer
(2020).
DOI
-
S Aryal, KC Santosh, R Dazeley:
usfAD: A robust unsupervised stochastic forest-based anomaly detector,
International Journal of Machine Learning & Cybernetics, Springer
(2020).
DOI
-
N Dey, KC Santosh:
COVID-19: Psychological and Psychosocial Impact, Fear, and Passion,
Digital Government: Research and Practice, ACM
(2020).
DOI
-
S Mitra, KC Santosh, MK Naskar:
Niblack Binarization on Document Images: Area Efficient, Low Cost, and Noise Tolerant Stochastic Architecture,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2020).
DOI
-
KC Santosh:
COVID-19 Prediction Models and Unexploited Data,
Journal of Medical Systems, Springer
(2020).
DOI
-
KC Santosh:
AI-driven tools for coronavirus outbreak: Need of active learning and cross-population train/test models on multitudinal/multimodal data,
Journal of Medical Systems, Springer
(2020).
DOI
-
D Das, KC Santosh, U Pal:
Truncated Inception Net: COVID-19 Outbreak Screening using Chest X-rays,
Physical and Engineering Sciences in Medicine, Springer
(2020).
DOI
-
D Elliott, KC Santosh, C Anderson:
Gradient boosting in crowd ensembles for Q-learning using weight sharing,
International Journal of Machine Learning & Cybernetics, Springer
(2020).
DOI
-
S Das, Sk Md Obaidullah, KC Santosh, K Roy, C K Saha:
Cardiotocograph-based labor stage classification from uterine contraction pressure during ante-partum and intra-partum period - a fuzzy theoretic approach,
Health Information Science and Systems, Springer
(2020).
DOI
-
R Guha, N Das, M Kundu, M Nasipuri, KC Santosh:
DevNet: an efficient CNN architecture for handwritten Devanagari character recognition,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2020).
DOI
-
S Aryal, AA Baniya, KC Santosh:
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement,
The Australian Journal of Intelligent Information Processing Systems
(2020).
Conference proceedings:
ICPR (1), CBMS (5), and RTIP2R (7, best paper award (1)) CVIP(1).
Book chapters:
Medical imaging and COVID-19 (2)
2019
11 journal articles,
6 book chapters and
27 conference proceedings
-
S Ghosh, A Pal, S Jaiswal, KC Santosh, N Das, M Nassipuri:
segFast-02: Semantic-based image segmentation using encoder-decoder compression architecture,
International Journal of Machine Learning & Cybernetics, Springer
(2019).
DOI
-
H Mukherjee, Sk Md Obaidullah, KC Santosh, S Phadikar, K Roy:
Deep learning for spoken language identification: Can we visualize speech signal patterns?,
Neural Computing and Applications, Springer
(2019).
DOI
-
A Jagtap, RS Hegadi, KC Santosh:
Feature Learning for Offline Handwritten Signature Verification Using Convolutional Neural Network,
International Journal of Technology and Human Interaction (IJTHI)
(2019).
DOI
-
H Mukherjee, A Dhar, Sk Md Obaidullah, KC Santosh, S Phadikar, K Roy:
Linear predictive coefficients-based feature to identify top-7 spoken language,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2019).
DOI
-
S Ukil, S Ghosh, Sk Md Obaidullah, KC Santosh, K Roy, N Das:
Improved word level handwritten Indic script identification through integrated small convolutional neural networks,
Neural Computing and Applications, Springer
(2019).
DOI
-
D Ruikar, KC Santosh, RS Hegadi:
Automated fractured bone segmentation and labeling from CT images,
Journal of Medical Systems, Springer
(2019).
DOI
-
H Mukherjee, Sk Md Obaidullah, KC Santosh, S Phadikar, K Roy:
A lazy learning-based language identification from speech using MFCC-2 features,
International Journal of Machine Learning & Cybernetics, Springer
(2019).
DOI
-
R Saini, P Kumar, B Kaur, P P Roy, D P Dogra, KC Santosh:
Kinect sensor-based interaction monitoring system using the BLSTM neural network in healthcare,
International Journal of Machine Learning & Cybernetics, Springer
(2019).
DOI
-
S Vaidya, C Mouli, KC Santosh:
Imperceptible watermark for a game-theoretic watermarking system,
International Journal of Machine Learning & Cybernetics, Springer
(2019).
DOI
-
Sk Md Obaidullah, KC Santosh, C Halder, N Das, K Roy:
Automatic Indic script identification from handwritten documents: page, block, line and word-level approach,
International Journal of Machine Learning & Cybernetics, Springer
(2019).
DOI
-
KC Santosh:
Speech processing in healthcare: can we integrate?,
Intelligent Speech Signal Processing, Elsevier Press
(2019).
DOI
Conference proceedings:
PReMI (1), ICICC (2, best paper award(1)), GREC@ICDAR (2),
ICCDC (2), CACCS (1), RTIP2R (15, best paper award(1)), and AISC (2)
Book chapters:
Medical Imaging (3) and Document processing (3).
2018
14 journal articles,
0 book chapters and
6 conference proceedings
-
KC Santosh and S Antani:
Automated chest X-ray screening: can lung section symmetry help detect pulmonary abnormalities?,
IEEE Transactions on Medical Imaging
(2018).
DOI
-
KC Santosh and L Wendling:
Angular relational signature-based chest radiograph image view classification,
Medical & Biological Engineering & Computing, Springer
(2018).
DOI
-
S F Nimmy, G Sarowar, N Dey, A Ashour, KC Santosh:
Investigation of DNA discontinuity for detecting Tuberculosis,
Journal of Ambient Intelligence and Humanized Computing, Springer
(2018).
DOI
-
D Ruikar, RS Hegadi, KC Santosh:
A Systematic Review on Orthopedic Simulators for Psycho-Motor Skill and Surgical Procedure Training,
Journal of Medical Systems, Springer
(2018).
DOI
-
S Vajda, A Karagyris, S Jaeger, KC Santosh, S Candemir, Z Xue, S Antani, G Thoma:
Feature Selection for Automatic Tuberculosis Screening in Frontal Chest Radiographs,
Journal of Medical Systems, Springer
(2018).
DOI
-
H Mukherjee, Sk Md Obaidullah, KC Santosh, S Phadikar, K Roy:
Line spectral frequency-based features and extreme learning machine for voice activity detection from audio signal,
International Journal of Speech Technology, Springer
(2018).
DOI
-
Sk Md Obaidullah, A Bose, H Mukherjee, KC Santosh, N Das, K Roy:
Extreme learning machine for handwritten Indic script identification in multi-script documents,
Journal of Electronic Imaging, SPIE
(2018).
DOI
-
Sk Md Obaidullah, C Halder, KC Santosh, N Das, K Roy:
Handwritten Indic script identification in multi-script document images: A survey,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2018).
DOI
-
C Halder, Sk Md Obaidullah, KC Santosh, K Roy:
Content independent writer identification on Bangla script: A document level approach,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2018).
DOI
-
Sk Md Obaidullah, C Halder, KC Santosh, N Das, K Roy:
PHDIndic 11: Page-level handwritten document image dataset of 11 official Indic scripts for script identification,
Multimedia Tools and Applications, Springer
(2018).
DOI
-
KC Santosh:
Correspondence: Edge map analysis in chest X-rays for automatic pulmonary abnormality screening,
Indian Journal of Tuberculosis, Elsevier
(2018).
DOI
-
Sk Md Obaidullah, N Das, KC Santosh, K Roy:
Automatic Line-Level Script Identification From Handwritten Document Images – A Region-Wise Classification Framework For Indian Subcontinent,
Malaysian Journal of Computer Science
(2018).
URL
-
KC Santosh and P Roy:
Arrow detection in biomedical images using sequential classifier,
International Journal of Machine Learning & Cybernetics, Springer
(2018).
DOI
-
M Bouguelia, S Nowaczyk, KC Santosh:
Antanas Verikas. Agreeing to disagree: active learning with noisy labels without crowdsourcing,
International Journal of Machine Learning & Cybernetics, Springer
(2018).
Conference proceedings:
SPIE Medical Imaging (1), ICRCICN (1), ICSKIMA (1), ICICBA (1), and AISC (3).
2017
5 journal articles,
0 book chapters and
7 conference proceedings
-
KC Santosh, A Aafaque, S Antani, G Thoma:
Line segment-based stitched multipanel figure separation for effective biomedical CBIR,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2017).
DOI
-
KC Santosh and S Vajda:
Automated chest X-ray screening: can edge map measure the evidence of pulmonary abnormalities?,
Atlas of Science
(June 02, 2016).
URL
-
F Zohora and KC Santosh:
Foreign Circular Element Detection in Chest X-rays for Effective Automated Pulmonary Abnormality Screening,
International Journal of Computer Vision and Image Processing
(2017).
DOI
-
Sk Md Obaidullah, KC Santosh, C Halder, N Das, K Roy:
Word-level Multi-script Indic Document Image Dataset and Baseline Results on Script Identification,
International Journal of Computer Vision and Image Processing
(2017).
DOI
-
Sk Md Obaidullah, C Goswami, KC Santosh, N Das, C Halder, K Roy:
Separating Indic scripts with mantra for effective handwritten script identification in multiscript documents,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2017).
DOI
Conference proceedings:
RTIP2R (7, best paper award (1)).
2016
4 journal articles,
0 book chapters and
3 conference proceedings
-
KC Santosh, S Vajda, S Antani, G Thoma:
Edge map analysis in Chest X-rays for Automatic Abnormality Screening,
International Journal of Computer Assisted Radiology & Surgery, Springer
(2016).
DOI
-
KC Santosh, N Alam, P Roy, L Wendling, S Antani, G Thoma:
A Simple and Efficient Arrowhead Detection in Biomedical Images,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2016).
DOI
-
KC Santosh, L Wendling, S Antani, G Thoma:
Overlaid Arrow Detection for Labeling Biomedical Image Regions,
IEEE Intelligent Systems (special issue: Pattern Recognition)
(2016).
URL
-
A Karargyris, J Siegelman, D Tzortzis, S Jaeger, S Candemir, Z Xue, KC Santosh, S Vajda, S Antani, L Folio, G Thoma:
Combination of texture and shape features to detect Tuberculosis in digital chest X-rays,
International Journal of Computer Assisted Radiology & Surgery, Springer
(2016).
DOI
Conference proceedings:
DRR (1), CVIP (1), and ICISO (1)).
2015
5 journal articles,
0 book chapters and
3 conference proceedings
-
KC Santosh:
g-DICE: Graph mining-based Document Information Content Exploitation,
International Journal on Document Analysis and Recognition, Springer
(2015).
DOI
-
KC Santosh, S Candemir, S Jaeger, S Antani, G Thoma, L Folio:
Automatically Detecting Rotation in Chest Radiographs using Principal Rib-Orientation Measure for Quality Control,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific
(2015).
DOI
-
KC Santosh, L Wending:
Character recognition based on Multi-projection Non-linear Profiles Measure,
Frontiers of Computer Science, Springer
(2015).
DOI
-
KC Santosh, L Wendling:
Graphical Symbol Recognition,
Wiley Encyclopedia of Electrical and Electronics Engineering
(2015).
DOI
-
S Candemir, E Borovikov, KC Santosh, S Antani, G Thoma:
RSILC: Rotation and Scale Invariant, Line Colour aware Descriptor,
Image and Vision Computing
(2015).
DOI
-
E Philippot, KC Santosh, A Belaïd, Y Belaïd:
Bayesian Networks for Incomplete Data Analysis in Form Processing,
International Journal of Machine Learning & Cybernetics, Springer
(2015).
DOI
Conference proceedings:
ImageCLEF (1) and IEEE CBMS (2).
2005-2014
5 journal articles,
0 book chapters and
3 conference proceedings
-
KC Santosh, L Wending, B Lamiroy:
BoR: Bags-of-Relations for Symbol Retrieval,
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific
(2014).
DOI
-
KC Santosh, B Lamiroy, L Wendling:
Integrating Vocabulary Clustering with Spatial Relations for Symbol Recognition,
International Journal of Document Analysis and Application, Springer
(2014).
DOI
-
KC Santosh, L Wendling, B Lamiroy:
DTW–Radon Shape Descriptor for Pattern Recognition,
International Journal of Pattern Recognition and Artificial Intelligence, World Scientific
(2013).
DOI
-
KC Santosh, C Nattee, B Lamiroy:
Relative Positioning of Stroke Based Clustering: A New Approach to On-line Handwritten Devanagari Character Recognition,
International Journal of Image & Graphics (IJIG), World Scientific
(2012).
DOI
-
KC Santosh, B Lamiroy, L Wendling:
Symbol Recognition using Spatial Relations,
Pattern Recognition Letters (PRL), Elsevier
(2012).
DOI
-
KC Santosh:
Use of Dynamic Time Warping for Object Shape Classification through Signature,
Kathmandu University Journal of Science, Engineering and Technology
(2010).
URL
-
KC Santosh, C Nattee:
A Comprehensive Survey on On-line Handwriting Recognition Technology and its Real Application to the Nepalese Natural Handwriting,
Kathmandu University Journal of Science, Engineering and Technology
(2009).
URL
-
KC Santosh, C Nattee:
Template-based Nepali Handwritten Alphanumeric Character Recognition,
Thammasat International Journal of Science and Technology
(2009).
URL
Conference proceedings:
2014: ICPR (1), CBMS (1), ICFHR (1), and RAIT (1).
2013: ICDAR (3), MVA (2), and IbPRIA (1).
2012: GREC (1).
2011: IEEE ICFHR (1), IEEE ICPR (1), and GREC (1).
2009: IEEE ICDAR (1), ACIVS (1), and GREC (1).
2006: KICSS (1, best paper award), PRICAI (1), and IEEE CIS (1).
Book chapters: (2012): INTECH (1)
USD Artificial Intelligence Research (LinkedIn)
Leadership in curriculum transformation through the AI+x initiative,
integrating artificial intelligence across disciplines and statewide partnerships, and establishing USD as South Dakota's hub
for AI, Data Science, and Engineering.
Scaled the department from two legacy degree programs (1970–2020; 60–80 students) to five degree programs – including
a PhD in Data Science & Engineering – with six specializations and certificates
serving ~500 students (data: FA23/SP24/FA24).
Built and led interdisciplinary programs spanning Math, Biology,
Physics, Biomedical Engineering, Psychology, Sustainability, and Business Analytics.
Recognized among the World's Top 2% Scientists (Stanford, 2023-)
and top 0.05% in AI for healthcare worldwide (ScholarGPS).
Delivered 90+ invited and keynote talks across 20+ countries, authored 12 books and 270+ peer-reviewed publications,
appointed U.S. Speaker on AI and AI Education, and serves
on NIST AI Standards & Innovation (2024-).
Secured major funding including the $6.5M SD-BCC,
$1M DoD, $0.5M NSF, and SDBOR grants.
Curriculum innovation through the AI+x initiative
integrates AI across disciplines and positions USD as South Dakota's hub for
AI, Data Science, and Engineering.
AI+x initiative involves curriculum innovation, interdisciplinary programs, and research labs/centers.
