Difficulties of T1 brain MRI segmentation techniques. - M. Stella Atkins; Kevin Siu; Benjamin Law; Jeffery J. Orchard; Wilfred L. Rosenbaum (Image Processing, 2002)

Loom: exploiting weight and activation precisions to accelerate convolutional neural networks. - Sayeh Sharify; Alberto Delmas Lascorz; Kevin Siu; Patrick Judd; Andreas Moshovos (DAC, 2018)

Memory Requirements for Convolutional Neural Network Hardware Accelerators. - Kevin Siu; Dylan Malone Stuart; Mostafa Mahmoud; Andreas Moshovos (IISWC, 2018)

Diffy: a Déjà vu-Free Differential Deep Neural Network Accelerator. - Mostafa Mahmoud; Kevin Siu; Andreas Moshovos (MICRO, 2018)

Identifying and Exploiting Ineffectual Computations to Enable Hardware Acceleration of Deep Learning. - Andreas Moshovos; Jorge Albericio; Patrick Judd; Alberto Delmas; Sayeh Sharify; Mostafa Mahmoud; Tayler H. Hetherington; Milos Nikolic 002; Dylan Malone Stuart; Kevin Siu; Zissis Poulos; Tor M. Aamodt; et al. (NEWCAS, 2018)

Bit-Tactical: A Software/Hardware Approach to Exploiting Value and Bit Sparsity in Neural Networks. - Alberto Delmas Lascorz; Patrick Judd; Dylan Malone Stuart; Zissis Poulos; Mostafa Mahmoud; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Andreas Moshovos (ASPLOS, 2019)

Laconic deep learning inference acceleration. - Sayeh Sharify; Alberto Delmas Lascorz; Mostafa Mahmoud; Milos Nikolic 002; Kevin Siu; Dylan Malone Stuart; Zissis Poulos; Andreas Moshovos (ISCA, 2019)

ShapeShifter: Enabling Fine-Grain Data Width Adaptation in Deep Learning. - Alberto Delmas Lascorz; Sayeh Sharify; Isak Edo Vivancos; Dylan Malone Stuart; Omar Mohamed Awad; Patrick Judd; Mostafa Mahmoud; Milos Nikolic 002; Kevin Siu; Zissis Poulos; Andreas Moshovos (MICRO, 2019)

Accelerating Image-Sensor-Based Deep Learning Applications. - Mostafa Mahmoud; Dylan Malone Stuart; Zissis Poulos; Alberto Delmas Lascorz; Patrick Judd; Sayeh Sharify; Milos Nikolic 002; Kevin Siu; Isak Edo Vivancos; Jorge Albericio; Andreas Moshovos (IEEE Micro, 2019)