Quantitative Analysis of Endodontic Treatment for Periapical Lesions in Intraoral Radiographs. - Taeju Lee; Hyekyung Jeong; Desok Kim; Byung-Do Lee (BIBE, 2009)

A neural recording amplifier based on adaptive SNR optimization technique for long-term implantation. - Taeju Lee; Doojin Jang; Yoontae Jung; Hyuntak Jeon; Soonyoung Hong; Sungmin Han; Jun-Uk Chu; Junghyup Lee; Minkyu Je (BioCAS, 2017)

A 3.9μW, 81.3dB SNDR, DC-coupled, Time-based Neural Recording IC with Degeneration R-DAC for Bidirectional Neural Interface in 180nm CMOS. - Hyuntak Jeon; Jun-Suk Bang; Yoontae Jung; Taeju Lee; Yeseul Jeon; Seok-Tae Koh; Jaesuk Choi; Doojin Jang; Soonyoung Hong; Minkyu Je (A-SSCC, 2018)

A 4.86 µW/Channel Fully Differential Multi-Channel Neural Recording System. - Taeju Lee; Ji-Hyoung Cha; Su-Hyun Han 001; Seong-Jin Kim; Minkyu Je (ISOCC, 2018)

A 110dB-CMRR 100dB-PSRR multi-channel neural-recording amplifier system using differentially regulated rejection ratio enhancement in 0.18μm CMOS. - Sehwan Lee; Arup K. George; Taeju Lee; Jun-Uk Chu; Sungmin Han; Ji-Hoon Kim 003; Minkyu Je; Junghyup Lee (ISSCC, 2018)

A Reconfigurable Neural Recording Front-End IC for Multimodal Operation. - Taeju Lee; Minkyu Je (APCCAS, 2019)

A Multimodal Multichannel Neural Activity Readout IC with 0.7μW/Channel Ca2+-Probe-Based Fluorescence Recording and Electrical Recording. - Taeju Lee; Jee-Ho Park; Ji-Hyoung Cha; Namsun Chou; Doojin Jang; Ji-Hoon Kim 003; Il-Joo Cho; Seong-Jin Kim; Minkyu Je (VLSI Circuits, 2019)

Implantable Neural-Recording Modules for Monitoring Electrical Neural Activity in the Central and Peripheral Nervous Systems. - Taeju Lee; Wonsuk Choi 002; Jinseok Kim 002; Minkyu Je (MWSCAS, 2020)

Double-High-Pass-Filter-Based Electrical-Recording Front-Ends and Fluorescence-Recording Front-Ends for Monitoring Multimodal Neural Activity. - Taeju Lee; Minkyu Je (IEEE Trans. Circuits Syst. II Express Briefs, 2020)

A Neural Stimulation IC Based on a Reconfigurable Current DAC with In-Situ Neural Recording Function for Cochlear Implant Systems. - Woojin Ahn; Doohee Kim; Jonghyeok Park; Jeong Hoan Park; Taeju Lee; Kyeong-Won Jeon; Kyou Sik Min; Hoseung Lee; Minkyu Je (A-SSCC, 2021)

A 99.5dB-DR 5kHz-BW Closed-Loop Neural-Recording IC based on Continuous-Time Dynamic-Zoom ΔΣ ADC with Automatic AFE-Gain Control. - Yoontae Jung; Soon-Jae Kweon; Hyuntak Jeon; Taeju Lee; Injun Choi; Kyeongwon Jeong; Mi Kyung Kim; Hyunjoo Jenny Lee; Sohmyung Ha; Minkyu Je (A-SSCC, 2021)

A Load-Current-Regulating OLED Lamp Driver Using a Hybrid Step-Up Converter with 93.21% Efficiency at a High Conversion Ratio of 4.1. - Donghee Cho; Hongseok Shin; Hyunwoo Park; Sein Oh; Taeju Lee; Sohmyung Ha; Chul Kim; Minkyu Je (ESSCIRC, 2021)

A 5.7µW/Channel Folded-Current-Mirror-Based Reconfigurable Multimodal Neural Recording IC with Improved Hardware Availability. - Taeju Lee; Mi Kyung Kim; Hyunjoo Jenny Lee; Minkyu Je (ISCAS, 2021)

A High-Precision Single-Ended-Current-to-Differential-Voltage Converter for Reconfigurable Neural Recording Front-Ends. - Taeju Lee; Minkyu Je (MWSCAS, 2021)

A Self-Powered Wireless Gas Sensor Node Based on Photovoltaic Energy Harvesting. - Phan Dang Hung; Yechan Park; Soon-Jae Kweon; Taeju Lee; Hyuntak Jeon; Seok-Tae Koh; Incheol Cho; Jun-Bo Yoon; Inkyu Park; Chul Kim; Sohmyung Ha; Minkyu Je (VLSI Circuits, 2021)

A Multimodal Neural Activity Readout Integrated Circuit for Recording Fluorescence and Electrical Signals. - Taeju Lee; Jee-Ho Park; Namsun Chou; Il-Joo Cho; Seong-Jin Kim; Minkyu Je (IEEE Access, 2021)

Multimodal Neural Interface Circuits for Diverse Interaction With Neuronal Cell Population in Human Brain. - Taeju Lee; Minkyu Je (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Pseudo-Differential Neural-Recording Front-End Design Using High-Pass Cutoff Frequency Programmable Single-Ended Pixel. - Taeju Lee; Minkyu Je (BioCAS, 2022)

Inverter-Based Pseudo-Differential Reconfigurable Pixel Circuit Array for Multimodal and High-Density Neural Recordings. - Taeju Lee; Minkyu Je (ISCAS, 2022)

A Multimodal Neural-Recording IC With Reconfigurable Analog Front-Ends for Improved Availability and Usability for Recording Channels. - Taeju Lee; Mi Kyung Kim; Hyunjoo Jenny Lee; Minkyu Je (IEEE Trans. Biomed. Circuits Syst., 2022)

Dynamic-Range-Enhancement Techniques for Artifact-Tolerant Biopotential-Acquisition ICs. - Yoontae Jung; Soon-Jae Kweon; Taeju Lee; Kyeongwon Jeong; Sohmyung Ha; Minkyu Je (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

Trend Investigation of Biopotential Recording Front-End Channels for Invasive and Non-Invasive Applications. - Taeju Lee; Minkyu Je (CoRR, 2023)

Brief Architectural Survey of Biopotential Recording Front-Ends since the 1970s. - Taeju Lee; Minkyu Je (CoRR, 2023)

Noise Analysis for Performance Evaluation of Biopotential Recording Front-Ends. - Taeju Lee (CoRR, 2023)

Analysis of Multistage Feedforward Operational Transconductance Amplifiers using Single-Pole Approximation. - Taeju Lee (CoRR, 2024)