3-D OCT data denoising with nonseparable oversampled lapped transform. - Shogo Muramatsu; Samuel Choi; Takumi Kawamura (APSIPA, 2015)

OCT Volumetric Data Restoration with Latent Distribution of Refractive Index. - Genki Fujii; Yuta Yoshida; Shogo Muramatsu; Shunsuke Ono; Samuel Choi; Takeru Ota; Fumiaki Nin; Hiroshi Hibino (ICIP, 2019)

Acceleration of PDS-Based High-Dimensional Signal Restoration. - Gai Yamamoto; Yuya Kodama; Shogo Muramatsu; Samuel Choi; Gwanggil Jeon (APSIPA ASC, 2021)

HERMES Core - A 14nm CMOS and PCM-based In-Memory Compute Core using an array of 300ps/LSB Linearized CCO-based ADCs and local digital processing. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Braendli; Femg Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (VLSI Circuits, 2021)

In-memory Realization of In-situ Few-shot Continual Learning with a Dynamically Evolving Explicit Memory. - Geethan Karunaratne; Michael Hersche; Jovin Langenegger; Giovanni Cherubini; Manuel Le Gallo; Urs Egger; Kevin Brew; Samuel Choi; Injo Ok; Mary Claire Silvestre; Ning Li; Nicole Saulnier; et al. (ESSCIRC, 2022)

A 64-core mixed-signal in-memory compute chip based on phase-change memory for deep neural network inference. - Manuel Le Gallo; Riduan Khaddam-Aljameh; Milos Stanisavljevic; Athanasios Vasilopoulos; Benedikt Kersting; Martino Dazzi; Geethan Karunaratne; Matthias Braendli; Abhairaj Singh; Silvia M. Mueller; Julian Büchel; Xavier Timoneda Comas; et al. (CoRR, 2022)

HERMES-Core - A 1.59-TOPS/mm2 PCM on 14-nm CMOS In-Memory Compute Core Using 300-ps/LSB Linearized CCO-Based ADCs. - Riduan Khaddam-Aljameh; Milos Stanisavljevic; Jordi Fornt Mas; Geethan Karunaratne; Matthias Brändli; Feng Liu; Abhairaj Singh; Silvia M. Müller; Urs Egger; Anastasios Petropoulos; Theodore Antonakopoulos 001; Kevin Brew; et al. (IEEE J. Solid State Circuits, 2022)

Sparsity-Aware OCT Volumetric Data Restoration Using Optical Synthesis Model. - Ruiki Kobayashi; Genki Fujii; Yuta Yoshida; Takeru Ota; Fumiaki Nin; Hiroshi Hibino; Samuel Choi; Shunsuke Ono; Shogo Muramatsu (IEEE Trans. Computational Imaging, 2022)

Phase Change Memory-based Hardware Accelerators for Deep Neural Networks (invited). - Geoffrey W. Burr; Pritish Narayanan; Stefano Ambrogio; Atsuya Okazaki; Hsinyu Tsai; Kohji Hosokawa; Charles Mackin; Akiyo Nomura; Takeo Yasuda; J. Demarest; Kevin Brew; Victor Chan; et al. (VLSI Technology and Circuits, 2023)

Gradient descent-based programming of analog in-memory computing cores. - Julian Büchel; Athanasios Vasilopoulos; Benedikt Kersting; Frédéric Odermatt; Kevin Brew; Injo Ok; Samuel Choi; Iqbal Saraf; Victor Chan; Timothy Philip; Nicole Saulnier; Vijay Narayanan; et al. (CoRR, 2023)

An analog-AI chip for energy-efficient speech recognition and transcription. - Stefano Ambrogio; Pritish Narayanan; Atsuya Okazaki; Andrea Fasoli; Charles Mackin; Kohji Hosokawa; Akiyo Nomura; Takeo Yasuda; An Chen 002; Alexander M. Friz; Masatoshi Ishii; Jose Luquin; et al. (Nat., 2023)