publications

2026

1. Nat. BME

   MUFASA: An Information Utility-Aware Preprocessing Framework for Reliable Model Reasoning in Computational Pathology

   Rathinaraja Jeyaraj, Barathi Subramanian, Jeanne Shen, and others

   2026

   In preparation for Nature Biomedical Engineering

   Bib

   @misc{jeyaraj2026mufasa,
     title = {MUFASA: An Information Utility-Aware Preprocessing Framework for Reliable Model Reasoning in Computational Pathology},
     author = {Jeyaraj, Rathinaraja and Subramanian, Barathi and Shen, Jeanne and others},
     year = {2026},
     note = {In preparation for Nature Biomedical Engineering},
   }

2. NeurIPS’26

   HMS: Bounded Harmonic Mean Perturbations for Stabilizing SGD-Based Regression Optimization

   Rathinaraja Jeyaraj, Barathi Subramanian, and others

   2026

   In preparation for NeurIPS 2026

   Bib

   @misc{jeyaraj2026hms,
     title = {HMS: Bounded Harmonic Mean Perturbations for Stabilizing SGD-Based Regression Optimization},
     author = {Jeyaraj, Rathinaraja and Subramanian, Barathi and others},
     year = {2026},
     note = {In preparation for NeurIPS 2026},
   }

3. 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

   2026

   Under review at ACM Multimedia 2026

   Bib

   @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 = {Under review at ACM Multimedia 2026},
   }

4. Neurocomp.

   APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks

   Barathi Subramanian, Rathinaraja Jeyaraj, and others

   2026

   In preparation for Neurocomputing

   Bib

   @misc{subramanian2026apalu,
     title = {APALU: A Trainable, Adaptive Activation Function for Deep Learning Networks},
     author = {Subramanian, Barathi and Jeyaraj, Rathinaraja and others},
     year = {2026},
     note = {In preparation for Neurocomputing},
   }

5. MICCAI’26

   TRIAGE-MIL: Multi-Axis Instance Selection and Semantic Hypergraph Modeling for Survival Prediction from Whole-Slide Images

   Barathi Subramanian, Rathinaraja Jeyaraj, Jeanne Shen, and others

   2026

   Provisionally accepted at MICCAI 2026
6. CVPR’26

   Gesture2Music: A Low-Latency Real-Time Framework for Continuous Gesture-Driven Music Generation

   Rathinaraja Jeyaraj, Barathi Subramanian, Kapilya Gangadharan, and Anand Paul

   In First International Workshop on Interactive Physical AI (IPA), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

   Bib

   @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 = {First International Workshop on Interactive Physical AI (IPA), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     year = {2026},
   }

7. CVPR’26

   Contrast-Enhanced Gating in GRUs for Robust Low-Data Sequence Learning

   Barathi Subramanian, Rathinaraja Jeyaraj, and Anand Paul

   In Workshop on Women in Computer Vision (WiCV), IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

   Bib

   @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},
   }

8. 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

   Computerized Medical Imaging and Graphics, 2026

   Bib

   @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},
     year = {2026},
   }

2025

1. 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

   In Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, 2025

   *Equal contribution

   Bib

   @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},
   }

2. 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

   In Pathology Research Retreat, Department of Pathology, Stanford University, 2025

   Bib

   @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},
   }

3. 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

   In Pathology Research Retreat, Department of Pathology, Stanford University, 2025

   Bib

   @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},
   }

4. 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

   In 2nd Annual Congress of the Asian Society of Digital Pathology (ASDP), 2025

   Bib

   @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},
   }

5. 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

   In 2nd Annual Congress of the Asian Society of Digital Pathology (ASDP), 2025

   Bib

   @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},
   }

6. 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

   IEEE Access, 2025

   Bib

   @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},
   }

2024

1. 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

   In IEEE 3rd International Conference on AI in Cybersecurity (ICAIC), 2024

   Bib

   @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},
   }

2. JKICS

   AED-Net: Attention-Based Detection Model for Disabled Signage Detection

   Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Bahar Amirian Varnousefaderani, and Jeonghong Kim

   The Journal of Korean Institute of Communications and Information Sciences, 2024

   Bib

   @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},
   }

3. ETRI

   AONet: Attention Network with Optional Activation for Unsupervised Video Anomaly Detection

   A. A. U. Rakhmonov, Barathi Subramanian, B. Amirian Varnousefaderani, and J. Kim

   ETRI Journal, 2024

   Bib

   @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},
   }

2023

1. 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

   2023

   Indian Patent in Bio-medical Engineering

   Bib

   @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},
   }

2. 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

   IEEE Access, 2023

   Bib

   @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},
   }

3. 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

   Scientific Reports, 2023

   Bib

   @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},
   }

4. KIICE’23

   ASN: Attention-Guided Siamese Network for Anomaly Detection in Few-Shot Learning

   Barathi Subramanian, Akhrorjon Akhmadjon Ugli Rakhmonov, and Jeonghong Kim

   In Korea Institute of Information and Communication Engineering (KIICE), 2023

   Bib

   @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},
   }

5. ICUFN’23

   Airy YOLOv5 for Disabled Sign Detection

   Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, Taehun Kim, and Jeonghong Kim

   In 14th International Conference on Ubiquitous and Future Networks (ICUFN), IEEE, 2023

   Bib

   @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},
   }

6. 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

   In 11th International Conference on Orange Technology (ICOT) & 19th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIHMSP), 2023

   Bib

   @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},
   }

2022

1. IEEE Access

   Digital Twin Model: A Real-Time Emotion Recognition System for Personalized Healthcare

   Barathi Subramanian, Jeonghong Kim, Mohammed Maray, and Anand Paul

   IEEE Access, 2022

   Bib

   @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},
   }

2. 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

   Scientific Reports, 2022

   Bib

   @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},
   }

3. Sci. Prog.

   Metrics Space and Norm: Taxonomy to Distance Metrics

   Barathi Subramanian, Anand Paul, Jeonghong Kim, and K-W-A Chee

   Scientific Programming, 2022

   Bib

   @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},
   }

4. JKMS

   Fast Convergence GRU Model for Sign Language Recognition

   Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim

   Journal of Korea Multimedia Society, 2022

   Bib

   @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},
   }

5. 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

   In Korea Software Conference, 2022

   Bib

   @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},
   }

6. KISC’22

   Disabled Sign Recognition using Single-Shot Detection

   Akhrorjon Akhmadjon Ugli Rakhmonov, Barathi Subramanian, and Jeonghong Kim

   In Korea Institute of Smart Convergence (KISC), 2022

   Bib

   @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},
   }

7. KMMS’22

   Fast-Convergence GRU Model for Indian Sign Language Recognition

   Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim

   In Korea Multimedia Society, 2022

   Bib

   @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},
   }

8. ICUFN’22

   Unsupervised Deep Learning-based End-to-end Network for Anomaly Detection and Localization

   Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim

   In 13th International Conference on Ubiquitous and Future Networks (ICUFN), IEEE, 2022

   Bib

   @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},
   }

2021

1. MICPRO

   Blockchain for Public Health Care in Smart Society

   M. Junaid Gul, Barathi Subramanian, Anand Paul, and Jeonghong Kim

   Microprocessors and Microsystems, 2021

   Bib

   @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},
   }

2. ICOT’21

   Predictive Modeling and Mobility Pattern Analysis

   Barathi Subramanian, Anand Paul, Jeonghong Kim, and Madhan Kumar Srinivasan

   In 9th International Conference on Orange Technology (ICOT), IEEE, 2021

   Bib

   @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},
   }

3. 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

   In Korea Multimedia Society, 2021

   Bib

   @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},
   }

4. MITA’21

   Real-Time Hand Tracking System for Indian Sign Language Gesture Recognition

   Barathi Subramanian, Bekhzod Olimov, and Jeonghong Kim

   In 17th International Conference on Multimedia Information Technology and Applications, 2021

   Bib

   @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},
   }

5. DB-Pia

   DeepMedNet: Deep Learning Based Medical Image Segmentation Model

   Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim

   In DB-Pia, 2021

   Bib

   @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},
   }

2020

1. ICOT’20

   An Efficient Deep Convolutional Neural Network for Semantic Segmentation

   Bekhzod Olimov, Barathi Subramanian, and Jeonghong Kim

   In 8th International Conference on Orange Technology (ICOT), IEEE, 2020

   Bib

   @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},
   }