Publications

2024

1. CVPRW 2024

   ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization

   Hong Nguyen, Hoang Nguyen, Melinda Y Chang, Hieu Pham, Shrikanth Narayanan, Michael Pazzani

   CVPR Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis, 2024

   Bib

   @article{hong2024conpro,
     title = {ConPro: Learning Severity Representation for Medical Images using Contrastive Learning and Preference Optimization},
     author = {Nguyen, Hong and Nguyen, Hoang and Chang, Melinda Y and Pham, Hieu and Narayanan, Shrikanth and Pazzani, Michael},
     journal = {CVPR Workshop on Domain adaptation, Explainability, Fairness in AI for Medical Image Analysis},
     year = {2024},
   }

2. Journal

   Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs

   Melinda Y Chang, Gena Heidary, Shannon Beres, Stacy L Pineles, Eric D Gaier, Ryan Gise, Mark Reid, Kleanthis Avramidis, Mohammad Rostami, Shrikanth Narayanan,  others

   Ophthalmology Science, 2024

   Bib HTML

   @article{chang2024artificial,
     title = {Artificial Intelligence to Differentiate Pediatric Pseudopapilledema and True Papilledema on Fundus Photographs},
     author = {Chang, Melinda Y and Heidary, Gena and Beres, Shannon and Pineles, Stacy L and Gaier, Eric D and Gise, Ryan and Reid, Mark and Avramidis, Kleanthis and Rostami, Mohammad and Narayanan, Shrikanth and others},
     journal = {Ophthalmology Science},
     pages = {100496},
     year = {2024},
     publisher = {Elsevier},
   }

3. EMBC 2024

   Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable Recordings

   Tiantian Feng, and Shrikanth Narayanan

   46th IEEE Engineering in Medicine and Biology Conference (EMBC), 2024

   Bib PDF

   @article{feng2024understanding,
     title = {Understanding Stress, Burnout, and Behavioral Patterns in Medical Residents Using Large-scale Longitudinal Wearable Recordings},
     author = {Feng, Tiantian and Narayanan, Shrikanth},
     journal = {46th IEEE Engineering in Medicine and Biology Conference (EMBC)},
     year = {2024},
   }

4. EMBC 2024

   Knowledge-guided EEG Representation Learning

   Aditya Kommineni, Kleanthis Avramidis, Richard Leahy, Shrikanth Narayanan

   46th IEEE Engineering in Medicine and Biology Conference (EMBC), 2024

   Bib PDF

   @article{kommineni2024knowledge,
     title = {Knowledge-guided EEG Representation Learning},
     author = {Kommineni, Aditya and Avramidis, Kleanthis and Leahy, Richard and Narayanan, Shrikanth},
     journal = {46th IEEE Engineering in Medicine and Biology Conference (EMBC)},
     year = {2024},
   }

5. EMBC 2024

   Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment

   Kleanthis Avramidis, Melinda Y Chang, Rahul Sharma, Mark S Borchert, Shrikanth Narayanan

   46th IEEE Engineering in Medicine and Biology Conference (EMBC), 2024

   Bib PDF Code

   @article{avramidis2024evaluating,
     title = {Evaluating Atypical Gaze Patterns through Vision Models: The Case of Cortical Visual Impairment},
     author = {Avramidis, Kleanthis and Chang, Melinda Y and Sharma, Rahul and Borchert, Mark S and Narayanan, Shrikanth},
     journal = {46th IEEE Engineering in Medicine and Biology Conference (EMBC)},
     year = {2024},
   }

2023

1. arXiv

   Scaling Representation Learning from Ubiquitous ECG with State-Space Models

   Kleanthis Avramidis, Dominika Kunc, Bartosz Perz, Kranti Adsul, Tiantian Feng, Przemysław Kazienko, Stanisław Saganowski, Shrikanth Narayanan

   arXiv preprint arXiv:2309.15292, 2023

   Bib PDF Code

   @article{avramidis2023scaling,
     title = {Scaling Representation Learning from Ubiquitous ECG with State-Space Models},
     author = {Avramidis, Kleanthis and Kunc, Dominika and Perz, Bartosz and Adsul, Kranti and Feng, Tiantian and Kazienko, Przemys{\l}aw and Saganowski, Stanis{\l}aw and Narayanan, Shrikanth},
     journal = {arXiv preprint arXiv:2309.15292},
     year = {2023},
   }

2. ICASSP 2023

   Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients

   Kleanthis Avramidis, Kranti Adsul, Digbalay Bose, Shrikanth Narayanan

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

   Bib PDF

   @inproceedings{10096044,
     author = {Avramidis, Kleanthis and Adsul, Kranti and Bose, Digbalay and Narayanan, Shrikanth},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Signal Processing Grand Challenge 2023 - E-Prevention: Sleep Behavior as an Indicator of Relapses in Psychotic Patients},
     year = {2023},
     pages = {1-2},
     doi = {10.1109/ICASSP49357.2023.10096044},
   }

3. ICASSP 2023

   Toward privacy-enhancing ambulatory-based well-being monitoring: Investigating user re-identification risk in multimodal data

   Ravi Pranjal, Ranjana Seshadri, Rakesh Kumar Sanath Kumar Kadaba, Tiantian Feng, Shrikanth Narayanan, Theodora Chaspari

   In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

   Bib PDF

   @inproceedings{Privacy-TILES-ICASSP2023,
     title = {Toward privacy-enhancing ambulatory-based well-being monitoring: Investigating user re-identification risk in multimodal data},
     author = {Pranjal, Ravi and Seshadri, Ranjana and Kadaba, Rakesh Kumar Sanath Kumar and Feng, Tiantian and Narayanan, Shrikanth and Chaspari, Theodora},
     booktitle = {IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     year = {2023},
     pages = {1--5},
     doi = {10.1109/ICASSP49357.2023.10096235},
   }

4. ICASSP 2023

   Multimodal Estimation of Change Points of Physiological Arousal in Drivers

   Kleanthis Avramidis, Tiantian Feng, Digbalay Bose, Shrikanth Narayanan

   In Ambient AI Workshop: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023

   Bib PDF Code

   @inproceedings{Kleanthis-AmbientAI-Wkshp-ICASSP23,
     author = {Avramidis, Kleanthis and Feng, Tiantian and Bose, Digbalay and Narayanan, Shrikanth},
     booktitle = {Ambient AI Workshop: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
     title = {Multimodal Estimation of Change Points of Physiological Arousal in Drivers},
     year = {2023},
     pages = {1-5},
   }

5. Journal

   Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review

   Adam C Frank, Ruibei Li, Bradley S Peterson, Shrikanth S Narayanan

   JMIR Mental Health, 2023

   Bib PDF

   @article{frank2023wearable,
     title = {Wearable and Mobile Technologies for the Evaluation and Treatment of Obsessive-Compulsive Disorder: Scoping Review},
     author = {Frank, Adam C and Li, Ruibei and Peterson, Bradley S and Narayanan, Shrikanth S},
     journal = {JMIR Mental Health},
     volume = {10},
     pages = {e45572},
     year = {2023},
     doi = {10.2196/45572},
     publisher = {JMIR Publications Toronto, Canada},
   }

6. Journal

   Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers

   Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M Booth, Shrikanth S Narayanan, Theodora Chaspari

   Frontiers in Digital Health, 2023

   Bib HTML

   @article{paromita2023modeling,
     title = {Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers},
     author = {Paromita, Projna and Mundnich, Karel and Nadarajan, Amrutha and Booth, Brandon M and Narayanan, Shrikanth S and Chaspari, Theodora},
     journal = {Frontiers in Digital Health},
     volume = {5},
     pages = {1195795},
     year = {2023},
     doi = {10.3389/fdgth.2023.1195795},
     publisher = {Frontiers},
   }

7. Journal

   Relationship satisfaction, feelings of closeness and annoyance, and linkage in electrodermal activity.

   Adela C Timmons, Sohyun C Han, Theodora Chaspari, Yehsong Kim, Shrikanth Narayanan, Jacqueline B Duong, Natalia Simo Fiallo, Gayla Margolin

   Emotion, 2023

   Bib PDF

   @article{timmons2023relationship,
     title = {Relationship satisfaction, feelings of closeness and annoyance, and linkage in electrodermal activity.},
     author = {Timmons, Adela C and Han, Sohyun C and Chaspari, Theodora and Kim, Yehsong and Narayanan, Shrikanth and Duong, Jacqueline B and Simo Fiallo, Natalia and Margolin, Gayla},
     journal = {Emotion},
     volume = {23},
     number = {7},
     pages = {1815--1828},
     year = {2023},
     doi = {10.1037/emo0001201},
     publisher = {American Psychological Association},
   }

8. Journal

   Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial

   Hyun Joo Yoo, Kaoru Nashiro, Jungwon Min, Christine Cho, Noah Mercer, Shelby L Bachman, Padideh Nasseri, Shubir Dutt, Shai Porat, Paul Choi,  others

   Scientific Data, 2023

   Bib PDF

   @article{yoo2023multimodal,
     title = {Multimodal neuroimaging data from a 5-week heart rate variability biofeedback randomized clinical trial},
     author = {Yoo, Hyun Joo and Nashiro, Kaoru and Min, Jungwon and Cho, Christine and Mercer, Noah and Bachman, Shelby L and Nasseri, Padideh and Dutt, Shubir and Porat, Shai and Choi, Paul and others},
     journal = {Scientific Data},
     volume = {10},
     number = {1},
     pages = {503},
     year = {2023},
     doi = {10.1038/s41597-023-02396-5},
     publisher = {Nature Publishing Group UK London},
   }

2022

1. ICIP 2022

   Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning

   Kleanthis Avramidis, Mohammad Rostami, Melinda Chang, Shrikanth Narayanan

   In IEEE International Conference on Image Processing (ICIP), 2022

   Bib HTML PDF Code

   @inproceedings{avramidis2022automating,
     title = {Automating Detection of Papilledema in Pediatric Fundus Images with Explainable Machine Learning},
     author = {Avramidis, Kleanthis and Rostami, Mohammad and Chang, Melinda and Narayanan, Shrikanth},
     booktitle = {IEEE International Conference on Image Processing (ICIP)},
     pages = {3973--3977},
     year = {2022},
     doi = {10.1109/ICIP46576.2022.9897529},
     organization = {IEEE},
   }

2. Journal

   Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based Measures

   Digbalay Bose, Krishna Somandepalli, Tymon Tai, Courtney Voelker, Shrikanth Narayanan, Amit Kochhar

   Facial Plastic Surgery & Aesthetic Medicine, 2022

   Bib HTML PDF

   @article{bose2022FPSAM,
     author = {Bose, Digbalay and Somandepalli, Krishna and Tai, Tymon and Voelker, Courtney and Narayanan, Shrikanth and Kochhar, Amit},
     title = {Automatic Analysis of Asymmetry in Facial Paralysis Patients Using Landmark-Based Measures},
     journal = {Facial Plastic Surgery & Aesthetic Medicine},
     year = {2022},
     doi = {10.1089/fpsam.2021.0247},
   }

3. Journal

   Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial

   Kaoru Nashiro, Jungwon Min, Hyun Joo Yoo, Christine Cho, Shelby L Bachman, Shubir Dutt, Julian F Thayer, Paul M Lehrer, Tiantian Feng, Noah Mercer, Padideh Nasseri, Diana Wang, Catie Chang, Vasilis Marmarelis, Shrikanth Narayanan, Daniel Nation, Mara Mather

   Cognitive, Affective, & Behavioral Neuroscience, 2022

   Bib PDF

   @article{nashiro2022increasing,
     title = {Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial},
     author = {Nashiro, Kaoru and Min, Jungwon and Yoo, Hyun Joo and Cho, Christine and Bachman, Shelby L and Dutt, Shubir and Thayer, Julian F and Lehrer, Paul M and Feng, Tiantian and Mercer, Noah and Nasseri, Padideh and Wang, Diana and Chang, Catie and Marmarelis, Vasilis and Narayanan, Shrikanth and Nation, Daniel and Mather, Mara},
     journal = {Cognitive, Affective, & Behavioral Neuroscience},
     doi = {10.3758/s13415-022-01032-w},
     pages = {1--18},
     year = {2022},
     publisher = {Springer},
   }

2019

1. ACM MM

   A multimodal view into music’s effect on human neural, physiological, and emotional experience

   Timothy Greer, Benjamin Ma, Matthew Sachs, Assal Habibi, Shrikanth Narayanan

   In Proc. 27th ACM International Conference on Multimedia, 2019

   PDF