@article{jeyaraj2026mufasa,title={MUFASA: An Information Utility-Aware Preprocessing Framework for Reliable Model Reasoning in Computational Pathology},author={Jeyaraj, Rathinaraja and Subramanian, Barathi and Noh, Songmi and Peterson, Mitchell N. and Guo, Terry and Fisher, George A. and Shah, Nigam H. and Langlotz, Curtis P. and Montine, Thomas J. and Shen, Jeanne},journal={arXiv preprint arXiv:2609.00424},year={2026},archiveprefix={arXiv},pubcategory={journal},type={journal}}
arXiv
APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks
Barathi Subramanian, Rathinaraja Jeyaraj, and Rakhmonov Akhrorjon Akhmadjon Ugli
@article{subramanian2026apalu,title={APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and {Akhmadjon Ugli}, Rakhmonov Akhrorjon},journal={arXiv preprint arXiv:2402.08244},year={2026},archiveprefix={arXiv},pubcategory={journal},type={journal}}
ACMMM’26
MedVES: Visual Evidence Scaling at Test Time for VLMs in Medical VQA
X. Wu, H. Tan, Barathi Subramanian, H. Chen, M. Peterson, and 5 more authors
@misc{wu2026medves,title={MedVES: Visual Evidence Scaling at Test Time for VLMs in Medical VQA},author={Wu, X. and Tan, H. and Subramanian, Barathi and Chen, H. and Peterson, M. and Guo, T. and Kiani, A. and Noh, S. and Qi, X. and Shen, Jeanne},year={2026},note={Accepted at ACM Multimedia 2026},pubcategory={conference},type={conference}}
MICCAI’26
TRIAGE-MIL: Multi-Axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images
Barathi Subramanian, Rathinaraja Jeyaraj, Songmi Noh, George A Fisher, and Jeanne Shen
2026
MICCAI 2026 conference; Springer proceedings published in 2027
@inproceedings{subramanian2026triagemil,title={TRIAGE-MIL: Multi-Axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and Noh, Songmi and Fisher, George A and Shen, Jeanne},year={2026},note={MICCAI 2026 conference; Springer proceedings published in 2027},pages={653--663},booktitle={Medical Image Computing and Computer Assisted Intervention -- MICCAI 2026},publisher={Springer},doi={10.1007/978-3-032-38172-9_62},pubcategory={conference},type={conference}}
CMIG
A Deep Learning-Based Automated Pipeline for Colorectal Cancer Detection in Contrast-Enhanced CT Images
C. Qiu, S. Miller, Barathi Subramanian, A. Ryu, H. Zhang, and 6 more authors
@article{qiu2026deep,title={A Deep Learning-Based Automated Pipeline for Colorectal Cancer Detection in Contrast-Enhanced CT Images},author={Qiu, C. and Miller, S. and Subramanian, Barathi and Ryu, A. and Zhang, H. and Fisher, G. and Shah, N. and Mongan, J. and Langlotz, C. and Poullos, P. and Shen, Jeanne},journal={Computerized Medical Imaging and Graphics},volume={128},pages={102717},doi={10.1016/j.compmedimag.2026.102717},year={2026},pubcategory={journal},type={journal}}
CVPR’26
Gesture2Music: A Low-Latency Real-Time Framework for Continuous Gesture-Driven Music Generation
Rathinaraja Jeyaraj, Barathi Subramanian, Kapilya Gangadharan, and Anand Paul
@inproceedings{jeyaraj2026gesture2music,title={Gesture2Music: A Low-Latency Real-Time Framework for Continuous Gesture-Driven Music Generation},author={Jeyaraj, Rathinaraja and Subramanian, Barathi and Gangadharan, Kapilya and Paul, Anand},booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},year={2026},pages={3913--3922},pubcategory={conference},type={conference}}
CVPR’26
Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning
Barathi Subramanian, Rathinaraja Jeyaraj, and Anand Paul
@inproceedings{subramanian2026contrast,title={Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and Paul, Anand},booktitle={Workshop on Women in Computer Vision (WiCV), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},year={2026},pages={613--622},pubcategory={conference},type={conference}}
2025
NeurIPS’25
STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology
Barathi Subramanian, Rathinaraja Jeyaraj, Mitchell Nevin Peterson, Terry Guo, Nigam Shah, and 3 more authors
@inproceedings{subramanian2025starc9,title={STARC-9: A Large-scale Dataset for Multi-Class Tissue Classification for CRC Histopathology},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and Peterson, Mitchell Nevin and Guo, Terry and Shah, Nigam and Langlotz, Curtis and Ng, Andrew Y. and Shen, Jeanne},booktitle={Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track},year={2025},note={*Equal contribution},volume={38},pubcategory={conference},type={conference}}
Path. Retreat
Generating Morphologically Diverse, Class-Balanced Training Datasets for Enhanced Histopathologic Tissue-Type Classification
Barathi Subramanian, Rathinaraja Jeyaraj, Songmi Noh, Mitch Peterson, Terry Guo, and 2 more authors
@inproceedings{subramanian2025morpho,title={Generating Morphologically Diverse, Class-Balanced Training Datasets for Enhanced Histopathologic Tissue-Type Classification},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and Noh, Songmi and Peterson, Mitch and Guo, Terry and Fisher, George and Shen, Jeanne},booktitle={Pathology Research Retreat, Department of Pathology, Stanford University},address={California, USA},year={2025},pubcategory={conference},type={conference}}
Path. Retreat
A Novel AI-Powered Preprocessing Framework for Maximizing Whole-Slide Image Dataset Quality for Machine Learning Applications
Rathinaraja Jeyaraj, Barathi Subramanian, Songmi Noh, Mitch Peterson, Terry Guo, and 2 more authors
@inproceedings{jeyaraj2025preprocessing,title={A Novel AI-Powered Preprocessing Framework for Maximizing Whole-Slide Image Dataset Quality for Machine Learning Applications},author={Jeyaraj, Rathinaraja and Subramanian, Barathi and Noh, Songmi and Peterson, Mitch and Guo, Terry and Fisher, George and Shen, Jeanne},booktitle={Pathology Research Retreat, Department of Pathology, Stanford University},address={California, USA},year={2025},pubcategory={conference},type={conference}}
ASDP’25
A Novel Training Sample Collection Framework for Improving the Performance of Multi-Tissue Type Classification in Histopathology
Barathi Subramanian, Rathinaraja Jeyaraj, Songmi Noh, Mitch Peterson, Terry Guo, and 3 more authors
@inproceedings{subramanian2025tilecollect,title={A Novel Training Sample Collection Framework for Improving the Performance of Multi-Tissue Type Classification in Histopathology},author={Subramanian, Barathi and Jeyaraj, Rathinaraja and Noh, Songmi and Peterson, Mitch and Guo, Terry and Fisher, George and Montine, Thomas and Shen, Jeanne},booktitle={2nd Annual Congress of the Asian Society of Digital Pathology (ASDP)},address={Mumbai, India},year={2025},pubcategory={conference},type={conference}}
ASDP’25
Artificial Intelligence-Based Tile Preprocessing for More Effective Whole-Slide Image Tissue Segmentation
Rathinaraja Jeyaraj, Barathi Subramanian, Songmi Noh, Mitch Peterson, Terry Guo, and 3 more authors
@inproceedings{jeyaraj2025tilepre,title={Artificial Intelligence-Based Tile Preprocessing for More Effective Whole-Slide Image Tissue Segmentation},author={Jeyaraj, Rathinaraja and Subramanian, Barathi and Noh, Songmi and Peterson, Mitch and Guo, Terry and Fisher, George and Montine, Thomas and Shen, Jeanne},booktitle={2nd Annual Congress of the Asian Society of Digital Pathology (ASDP)},address={Mumbai, India},year={2025},pubcategory={conference},type={conference}}
IEEE Access
From Data to Decisions: The Power of Machine Learning in Business Recommendations
K. Gangadharan, A. Purandaran, K. Malathi, Barathi Subramanian, Rathinaraja Jeyaraj, and 1 more author
@article{gangadharan2025data,title={From Data to Decisions: The Power of Machine Learning in Business Recommendations},author={Gangadharan, K. and Purandaran, A. and Malathi, K. and Subramanian, Barathi and Jeyaraj, Rathinaraja and Jung, S. K.},journal={IEEE Access},volume={13},pages={17354--17397},year={2025},doi={10.1109/ACCESS.2025.3532697},pubcategory={journal},type={journal}}
2024
ICAIC’24
YOLO v8 with Spatial Attention and FFT: A Novel Approach to Counter Face Spoofing Attacks in Smart Devices
Rathinaraja Jeyaraj, Barathi Subramanian, Karnam Yogesh, Aobo Jin, Umit Karabiyik, and 1 more author
@inproceedings{jeyaraj2024yolov8,title={YOLO v8 with Spatial Attention and FFT: A Novel Approach to Counter Face Spoofing Attacks in Smart Devices},author={Jeyaraj, Rathinaraja and Subramanian, Barathi and Yogesh, Karnam and Jin, Aobo and Karabiyik, Umit and Gohel, Hardik A.},booktitle={IEEE 3rd International Conference on AI in Cybersecurity (ICAIC)},address={Houston, TX, USA},pages={1--6},year={2024},pubcategory={conference},type={conference}}
JKICS
AED-Net: Attention-Based Detection Model for Disabled Signage Detection
Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bahar Amirian Varnousefaderani, and Jeonghong Kim
@article{rakhmonov2024aednet,title={AED-Net: Attention-Based Detection Model for Disabled Signage Detection},author={Rakhmonov, Akhrorjon Akhmadjon Ugli and Subramanian, Barathi and Amirian Varnousefaderani, Bahar and Kim, Jeonghong},journal={The Journal of Korean Institute of Communications and Information Sciences},volume={49},number={7},pages={976--982},year={2024},pubcategory={journal},type={journal}}
ETRI
AONet: Attention Network with Optional Activation for Unsupervised Video Anomaly Detection
A. A. U. Rakhmonov, Barathi Subramanian, B. Amirian Varnousefaderani, and J. Kim
@article{rakhmonov2024aonet,title={AONet: Attention Network with Optional Activation for Unsupervised Video Anomaly Detection},author={Rakhmonov, A. A. U. and Subramanian, Barathi and Amirian Varnousefaderani, B. and Kim, J.},journal={ETRI Journal},volume={46},number={5},pages={890--903},year={2024},doi={10.4218/etrij.2024-0115},pubcategory={journal},type={journal}}
2023
IEEE Access
Extensive Knowledge Distillation Model: An End-to-End Effective Anomaly Detection Model for Real-Time Industrial Applications
Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim
@article{rakhmonov2023knowledge,title={Extensive Knowledge Distillation Model: An End-to-End Effective Anomaly Detection Model for Real-Time Industrial Applications},author={Rakhmonov, Akhrorjon Akhmadjon Ugli and Subramanian, Barathi and Olimov, Bekhzod and Kim, Jeonghong},journal={IEEE Access},volume={11},pages={69750--69761},year={2023},pubcategory={journal},type={journal}}
Sci. Rep.
Consecutive Multi-scale Feature Learning-based Image Classification Model
Bekhzod Olimov, Barathi Subramanian, Akhrorjon Akhmadjon Ugli Rakhmonov, Jea-Soo Kim, and Jeonghong Kim
@article{olimov2023consecutive,title={Consecutive Multi-scale Feature Learning-based Image Classification Model},author={Olimov, Bekhzod and Subramanian, Barathi and Rakhmonov, Akhrorjon Akhmadjon Ugli and Kim, Jea-Soo and Kim, Jeonghong},journal={Scientific Reports},year={2023},volume={13},number={1},pages={3595},doi={10.1038/s41598-023-30480-8},pubcategory={journal},type={journal}}
KIICE’23
ASN: Attention-Guided Siamese Network for Anomaly Detection in Few-Shot Learning
Barathi Subramanian, Akhrorjon Akhmadjon Ugli Rakhmonov, and Jeonghong Kim
@inproceedings{subramanian2023asn,title={ASN: Attention-Guided Siamese Network for Anomaly Detection in Few-Shot Learning},author={Subramanian, Barathi and Rakhmonov, Akhrorjon Akhmadjon Ugli and Kim, Jeonghong},booktitle={Korea Institute of Information and Communication Engineering (KIICE)},year={2023},volume={27},number={1},pages={183--185},pubcategory={conference},type={conference}}
ICUFN’23
Airy YOLOv5 for Disabled Sign Detection
Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Taehun Kim, and Jeonghong Kim
@inproceedings{rakhmonov2023airy,title={Airy YOLOv5 for Disabled Sign Detection},author={Rakhmonov, Akhrorjon Akhmadjon Ugli and Subramanian, Barathi and Kim, Taehun and Kim, Jeonghong},booktitle={14th International Conference on Ubiquitous and Future Networks (ICUFN), IEEE},pages={869--874},year={2023},pubcategory={conference},type={conference}}
ICOT/IIHMSP
Telehealth 2.0: A Novel Framework for Real-Time Liveliness Detection and Mood Analysis
Barathi Subramanian, Akhrorjon Akhmadjon Ugli Rakhmonov, Bahar Amirian Varnousefaderani, and Jeonghong Kim
@inproceedings{subramanian2023telehealth,title={Telehealth 2.0: A Novel Framework for Real-Time Liveliness Detection and Mood Analysis},author={Subramanian, Barathi and Rakhmonov, Akhrorjon Akhmadjon Ugli and Amirian Varnousefaderani, Bahar and Kim, Jeonghong},booktitle={11th International Conference on Orange Technology (ICOT) \& 19th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP)},year={2023},pages={149--159},pubcategory={conference},type={conference}}
Patent
Digital Twin-Based Emotion Recognition System for Personalized Healthcare: Enhancing Emotional Well-Being Through Real-Time Monitoring and Treatment Strategies
Barathi Subramanian, Anand Paul, and Jeonghong Kim
@misc{subramanian2023patent,title={Digital Twin-Based Emotion Recognition System for Personalized Healthcare: Enhancing Emotional Well-Being Through Real-Time Monitoring and Treatment Strategies},author={Subramanian, Barathi and Paul, Anand and Kim, Jeonghong},year={2023},note={Indian Patent in Bio-medical Engineering},pubcategory={patent},type={patent}}
2022
IEEE Access
Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare
Barathi Subramanian, Jeonghong Kim, Mohammed Maray, and Anand Paul
@article{subramanian2022digitaltwin,title={Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare},author={Subramanian, Barathi and Kim, Jeonghong and Maray, Mohammed and Paul, Anand},journal={IEEE Access},volume={10},pages={81155--81165},year={2022},doi={10.1109/ACCESS.2022.3193941},pubcategory={journal},type={journal}}
Sci. Rep.
An Integrated MediaPipe-Optimized GRU Model for Indian Sign Language Recognition
Barathi Subramanian, Bekhzod Olimov, Shraddha M. Naik, Sangchul Kim, Kil-Houm Park, and 1 more author
@article{subramanian2022mediapipe,title={An Integrated MediaPipe-Optimized GRU Model for Indian Sign Language Recognition},author={Subramanian, Barathi and Olimov, Bekhzod and Naik, Shraddha M. and Kim, Sangchul and Park, Kil-Houm and Kim, Jeonghong},journal={Scientific Reports},volume={12},pages={1--16},year={2022},number={1},doi={10.1038/s41598-022-15998-7},pubcategory={journal},type={journal}}
Sci. Prog.
Metrics Space and Norm: Taxonomy to Distance Metrics
Barathi Subramanian, Anand Paul, Jeonghong Kim, and K-W-A Chee
@article{subramanian2022metrics,title={Metrics Space and Norm: Taxonomy to Distance Metrics},author={Subramanian, Barathi and Paul, Anand and Kim, Jeonghong and Chee, K-W-A},journal={Scientific Programming},year={2022},volume={2022},number={1},pages={1911345},doi={10.1155/2022/1911345},pubcategory={journal},type={journal}}
JKMS
Fast Convergence GRU Model for Sign Language Recognition
Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim
@article{subramanian2022fastgru,title={Fast Convergence GRU Model for Sign Language Recognition},author={Subramanian, Barathi and Olimov, Bekhzod and Kim, Jeonghong},journal={Journal of Korea Multimedia Society},volume={25},pages={1257--1265},year={2022},number={9},pubcategory={journal},type={journal}}
KSC’22
LF-YOLOv5: An Improved and Lightweight YOLOv5 Model for Disabled Sign Detection
Barathi Subramanian, Akhrorjon Akhmadjon Ugli Rakhmonov, Taehun Kim, and Jeonghong Kim
@inproceedings{subramanian2022lfyolov5,title={LF-YOLOv5: An Improved and Lightweight YOLOv5 Model for Disabled Sign Detection},author={Subramanian, Barathi and Rakhmonov, Akhrorjon Akhmadjon Ugli and Kim, Taehun and Kim, Jeonghong},booktitle={Korea Software Conference},address={Jeju, South Korea},year={2022},pages={699--701},pubcategory={conference},type={conference}}
KISC’22
Disabled Sign Recognition using Single-Shot Detection
Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, and Jeonghong Kim
@inproceedings{rakhmonov2022disabled,title={Disabled Sign Recognition using Single-Shot Detection},author={Rakhmonov, Akhrorjon Akhmadjon Ugli and Subramanian, Barathi and Kim, Jeonghong},booktitle={Korea Institute of Smart Convergence (KISC)},year={2022},pages={198--199},pubcategory={conference},type={conference}}
KMMS’22
Fast-Convergence GRU Model for Indian Sign Language Recognition
Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim
@inproceedings{subramanian2022fastgru_conf,title={Fast-Convergence GRU Model for Indian Sign Language Recognition},author={Subramanian, Barathi and Olimov, Bekhzod and Kim, Jeonghong},booktitle={Korea Multimedia Society},address={Busan, South Korea},year={2022},pubcategory={conference},type={conference}}
ICUFN’22
Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization
Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim
@inproceedings{olimov2022unsupervised,title={Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization},author={Olimov, Bekhzod and Subramanian, Barathi and Kim, Jeonghong},booktitle={13th International Conference on Ubiquitous and Future Networks (ICUFN), IEEE},pages={444--449},year={2022},pubcategory={conference},type={conference}}
2021
MICPRO
Blockchain for Public Health Care in Smart Society
M. Junaid Gul, Barathi Subramanian, Anand Paul, and Jeonghong Kim
@article{gul2021blockchain,title={Blockchain for Public Health Care in Smart Society},author={Gul, M. Junaid and Subramanian, Barathi and Paul, Anand and Kim, Jeonghong},journal={Microprocessors and Microsystems},volume={80},pages={103524},year={2021},doi={10.1016/j.micpro.2020.103524},pubcategory={journal},type={journal}}
ICOT’21
Predictive Modeling and Mobility Pattern Analysis
Barathi Subramanian, Anand Paul, Jeonghong Kim, and Madhan Kumar Srinivasan
@inproceedings{subramanian2021predictive,title={Predictive Modeling and Mobility Pattern Analysis},author={Subramanian, Barathi and Paul, Anand and Kim, Jeonghong and Srinivasan, Madhan Kumar},booktitle={9th International Conference on Orange Technology (ICOT), IEEE},pages={1--4},year={2021},pubcategory={conference},type={conference}}
KMMS’21
Real-Time Hand Gesture Recognition for Indian Sign Language using CNN with Deep Single-Shot Detector
Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim
@inproceedings{subramanian2021handgesture,title={Real-Time Hand Gesture Recognition for Indian Sign Language using CNN with Deep Single-Shot Detector},author={Subramanian, Barathi and Olimov, Bekhzod and Kim, Jeonghong},booktitle={Korea Multimedia Society},year={2021},pubcategory={conference},type={conference}}
MITA’21
Real-Time Hand Tracking System for Indian Sign Language Gesture Recognition
Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim
@inproceedings{subramanian2021handtracking,title={Real-Time Hand Tracking System for Indian Sign Language Gesture Recognition},author={Subramanian, Barathi and Olimov, Bekhzod and Kim, Jeonghong},booktitle={17th International Conference on Multimedia Information Technology and Applications},address={Jeju, South Korea},year={2021},pubcategory={conference},type={conference}}
DB-Pia
DeepMedNet: Deep Learning Based Medical Image Segmentation Model
Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim
@inproceedings{olimov2021deepmednet,title={DeepMedNet: Deep Learning Based Medical Image Segmentation Model},author={Olimov, Bekhzod and Subramanian, Barathi and Kim, Jeonghong},booktitle={DB-Pia},pages={576--578},year={2021},pubcategory={conference},type={conference}}
2020
ICOT’20
An Efficient Deep Convolutional Neural Network for Semantic Segmentation
Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim
@inproceedings{olimov2020efficient,title={An Efficient Deep Convolutional Neural Network for Semantic Segmentation},author={Olimov, Bekhzod and Subramanian, Barathi and Kim, Jeonghong},booktitle={8th International Conference on Orange Technology (ICOT), IEEE},pages={1--9},year={2020},pubcategory={conference},type={conference}}
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