Micky C. Nnamdi

26 papers Journal 13Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. IEEE Trans. Educ. Micky C. Nnamdi, J. Ben Tamo, Benoit Marteau, Wenqi Shi, May D. Wang
2026	J	`jnl`	Benchmarking LLM Summaries of Multimodal Clinical Time Series for Remote Monitoring. CoRR Aditya Shukla, Yining Yuan, J. Ben Tamo, Yifei Wang, Micky C. Nnamdi, Shaun Tan, Jieru Li, Benoit Marteau, Brad Willingham, May D. Wang
2026	J	`jnl`	EvidenceRL: Reinforcing Evidence Consistency for Trustworthy Language Models. CoRR J. Ben Tamo, Yuxing Lu, Benoit Louis Marteau, Micky C. Nnamdi, May D. Wang
2026	J	`jnl`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. CoRR Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	—	`conf`	A Hybrid Deep Learning Framework for Automated Cobb Angle Estimation in Scoliosis Assessment. BCB Shaun Qien Yeau Tan, Shaunna Wang, Chia-Pei Wang, Alexandru C. Florea, Isabella W. Wang, Degel S. Agoreyo, Joline J. Speck, Micky C. Nnamdi, J. Ben Tamo, Benoit Louis Marteau, Yishan Zhong, Selina Poon, May Dongmei Wang
2025	J	`jnl`	Advancing Problem-Based Learning in Biomedical Engineering in the Era of Generative AI. CoRR Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, May D. Wang
2025	J	`jnl`	Advancing Sleep Disorder Diagnostics: A Transformer-Based EEG Model for Sleep Stage Classification and OSA Prediction. IEEE J. Biomed. Health Informatics Cheng Wan, Micky C. Nnamdi, Wenqi Shi, Benjamin M. Smith, Chad Purnell, May D. Wang
2025	—	`conf`	Augmenting Spline Interpolated Dementia EEG Data with Deep Learning for Improved Multi-Centric Data Harmonization. ISBI Matthew Chen, Benoit Marteau, Micky C. Nnamdi, J. Ben Tamo, May D. Wang
2025	J	`jnl`	Causal Machine Learning for Surgical Interventions. CoRR J. Ben Tamo, Nishant S. Chouhan, Micky C. Nnamdi, Yining Yuan, Shreya S. Chivilkar, Wenqi Shi, Steven W. Hwang, B. Randall Brenn, May D. Wang
2025	—	`conf`	Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. BCB Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May Dongmei Wang
2025	J	`jnl`	Developing Fairness-Aware Task Decomposition to Improve Equity in Post-Spinal Fusion Complication Prediction. CoRR Yining Yuan, J. Ben Tamo, Wenqi Shi, Yishan Zhong, Micky C. Nnamdi, B. Randall Brenn, Steven W. Hwang, May D. Wang
2025	—	`conf`	From Association to Mechanism: Causal Graph-Based Fine-Mapping of Regulatory SNPs for Functional Validation. BCB Nishant Singh Chouhan, J. Ben Tamo, Oankar R. Patil, Wenqi Shi, Micky C. Nnamdi, Steven Randall Hwang, Kamran W. Shazand, May Dongmei Wang
2025	—	`conf`	KindSleep: Knowledge-Informed Diagnosis of Obstructive Sleep Apnea from Oximetry. BCB Micky C. Nnamdi, Wenqi Shi, Cheng Wan, J. Ben Tamo, Benjamin M. Smith, Chad Purnell, May Dongmei Wang
2025	J	`jnl`	Leveraging Evidence-Guided LLMs to Enhance Trustworthy Depression Diagnosis. CoRR Yining Yuan, J. Ben Tamo, Micky C. Nnamdi, Yifei Wang, May D. Wang
2025	J	`jnl`	MENDR: Manifold Explainable Neural Data Representations. CoRR Matthew Chen, Micky C. Nnamdi, Justin Shao, Andrew Hornback, HongYun Huang, J. Ben Tamo, Yishan Zhong, Benoit Marteau, Wenqi Shi, May Dongmei Wang
2025	J	`jnl`	MetaBench: A Multi-task Benchmark for Assessing LLMs in Metabolomics. CoRR Yuxing Lu, Xukai Zhao, J. Ben Tamo, Micky C. Nnamdi, Rui Peng, Shuang Zeng, Xingyu Hu, Jinzhuo Wang, May D. Wang
2025	—	`conf`	Multi-Agent LLM Reasoning for Clinical Procedure Sequencing from High-Granularity EHR Data. BCB Yishan Zhong, Wenqi Shi, J. Ben Tamo, Micky C. Nnamdi, Yining Yuan, May Dongmei Wang
2025	J	`jnl`	Novel Extraction of Discriminative Fine-Grained Feature to Improve Retinal Vessel Segmentation. CoRR Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Yanye Lu, Qiushi Ren
2025	J	`jnl`	Novel extraction of discriminative fine-grained feature to improve retinal vessel segmentation. Image Vis. Comput. Shuang Zeng, Chee Hong Lee, Micky C. Nnamdi, Wenqi Shi, J. Ben Tamo, Hangzhou He, Xinliang Zhang, Qian Chen, May D. Wang, Lei Zhu, Yanye Lu, Qiushi Ren
2024	—	`conf`	Confidence-Calibrated Clinical Decision Support System for Reliable Respiratory Disease Screening. BHI Micky C. Nnamdi, J. Ben Tamo, Wenqi Shi, Vivek K. Chundru, Benoit Marteau, Oankar R. Patil, May D. Wang
2024	—	`conf`	Heterogeneous Treatment Effects of Spinal Fusion Surgery for Adolescent Idiopathic Scoliosis Patients. BCB J. Ben Tamo, Micky C. Nnamdi, Andrew Hornback, Matthew Chen, Wenqi Shi, Yuanda Zhu, Henry J. Iwinski, May D. Wang
2024	—	`conf`	Quantitative Explainability Study of Deformable Convolutional Neural Networks using Chest X-rays. BIBM Vivek K. Chundru, M. Sait Kilinc, Anthony Lim, Micky C. Nnamdi, Yishan Zhong, Wenqi Shi, May D. Wang
2023	—	`conf`	Adolescent Idiopathic Scoliosis Patient Subphenotyping for Surgical Planning and Improved Patient Outcomes. BCB Junior Ben Tamo, Wenqi Shi, Yuanda Zhu, Micky C. Nnamdi, Henry J. Iwinski, J. Michael Wattenbarger, May Dongmei Wang
2023	—	`conf`	Concept Bottleneck Model for Adolescent Idiopathic Scoliosis Patient Reported Outcomes Prediction. BHI Micky C. Nnamdi, Wenqi Shi, Junior Ben Tamo, Henry J. Iwinski, J. Michael Wattenbarger, May D. Wang
2023	—	`conf`	Model Confidence Calibration for Reliable COVID-19 Early Screening via Audio Signal Analysis. BCB Micky C. Nnamdi, Junior Ben Tamo, Sara Stackpole, Wenqi Shi, Benoit Marteau, May Dongmei Wang
2023	—	`conf`	Uncertainty-Aware Ensemble Learning Models for Out-of-Distribution Medical Imaging Analysis. BIBM Junior Ben Tamo, Micky C. Nnamdi, Lea Lesbats, Wenqi Shi, Yishan Zhong, May D. Wang