SEGSRNet for Stereo-Endoscopic Image Super-Resolution and Surgical Instrument Segmentation

no code implementations • 20 Apr 2024 • Mansoor Hayat, Supavadee Aramvith, Titipat Achakulvisut

SEGSRNet addresses the challenge of precisely identifying surgical instruments in low-resolution stereo endoscopic images, a common issue in medical imaging and robotic surgery.

Neuromatch Academy: Teaching Computational Neuroscience with global accessibility

no code implementations • 15 Dec 2020 • Tara van Viegen, Athena Akrami, Kate Bonnen, Eric DeWitt, Alexandre Hyafil, Helena Ledmyr, Grace W. Lindsay, Patrick Mineault, John D. Murray, Xaq Pitkow, Aina Puce, Madineh Sedigh-Sarvestani, Carsen Stringer, Titipat Achakulvisut, Elnaz Alikarami, Melvin Selim Atay, Eleanor Batty, Jeffrey C. Erlich, Byron V. Galbraith, Yueqi Guo, Ashley L. Juavinett, Matthew R. Krause, Songting Li, Marius Pachitariu, Elizabeth Straley, Davide Valeriani, Emma Vaughan, Maryam Vaziri-Pashkam, Michael L. Waskom, Gunnar Blohm, Konrad Kording, Paul Schrater, Brad Wyble, Sean Escola, Megan A. K. Peters

Neuromatch Academy designed and ran a fully online 3-week Computational Neuroscience summer school for 1757 students with 191 teaching assistants working in virtual inverted (or flipped) classrooms and on small group projects.

Management

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning

2 code implementations • 1 Jul 2019 • Titipat Achakulvisut, Chandra Bhagavatula, Daniel Acuna, Konrad Kording

Claims are a fundamental unit of scientific discourse.

Sentence Transfer Learning

Science Concierge: A fast content-based recommendation system for scientific publications

2 code implementations • 4 Apr 2016 • Titipat Achakulvisut, Daniel E. Acuna, Tulakan Ruangrong, Konrad Kording

Here, we develop an algorithm, and an accompanying Python library, that implements a recommendation system based on the content of articles.