Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery. - Mikhail Volkov 002; Daniel A. Hashimoto; Guy Rosman; Ozanan R. Meireles; Daniela Rus (ICRA, 2017)

Aggregating Long-Term Context for Learning Surgical Workflows. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (CoRR, 2020)

Aggregating Long-Term Context for Learning Laparoscopic and Robot-Assisted Surgical Workflows. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (ICRA, 2021)

Special issue on 2020 augmented environments for computer-assisted interventions (AE-CAI): guest editors' foreword. - Cristian A. Linte; Elvis C. S. Chen; Simon Drouin; Marta Kersten-Oertel; Ziv Yaniv; Daniel A. Hashimoto; Qi Dou 001; Xiongbiao Luo; A. Jonathan McLeod; Duygu Sarikaya (Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021)

SUrgical PRediction GAN for Events Anticipation. - Yutong Ban; Guy Rosman; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (CoRR, 2021)

Metrics reloaded: Pitfalls and recommendations for image analysis validation. - Lena Maier-Hein; Annika Reinke; Evangelia Christodoulou; Ben Glocker; Patrick Godau; Fabian Isensee; Jens Kleesiek; Michal Kozubek 001; Mauricio Reyes 001; Michael A. Riegler; Manuel Wiesenfarth; Michael Baumgartner 001; et al. (CoRR, 2022)

Surgical data science - from concepts toward clinical translation. - Lena Maier-Hein; Matthias Eisenmann; Duygu Sarikaya; Keno März; Toby Collins; Anand Malpani; Johannes Fallert; Hubertus Feussner; Stamatia Giannarou; Pietro Mascagni; Hirenkumar Nakawala; Adrian Park 001; et al. (Medical Image Anal., 2022)

Computer vision in surgery: from potential to clinical value. - Pietro Mascagni; Deepak Alapatt; Luca Sestini; Maria S. Altieri; Amin Madani; Yusuke Watanabe; Adnan Alseidi; Jay A. Redan; Sergio Alfieri; Guido Costamagna; Ivo Boskoski; Nicolas Padoy; et al. (npj Digit. Medicine, 2022)

SUPR-GAN: SUrgical PRediction GAN for Event Anticipation in Laparoscopic and Robotic Surgery. - Yutong Ban; Guy Rosman; Jennifer A. Eckhoff; Thomas M. Ward; Daniel A. Hashimoto; Taisei Kondo; Hidekazu Iwaki; Ozanan R. Meireles; Daniela Rus (IEEE Robotics Autom. Lett., 2022)

Using Artificial Intelligence-Enhanced Sensing and Wearable Technology in Sports Medicine and Performance Optimisation. - Swathikan Chidambaram; Yathukulan Maheswaran; Kian Patel; Viknesh Sounderajah; Daniel A. Hashimoto; Kenneth Patrick Seastedt; Alison H. McGregor; Sheraz R. Markar; Ara Darzi (Sensors, 2022)

Understanding metric-related pitfalls in image analysis validation. - Annika Reinke; Minu Tizabi; Michael Baumgartner 001; Matthias Eisenmann; Doreen Heckmann-Nötzel; A. Emre Kavur; Tim Rädsch; Carole H. Sudre; Laura Ación; Michela Antonelli; Tal Arbel; Spyridon Bakas; et al. (CoRR, 2023)

The impact of generative artificial intelligence on socioeconomic inequalities and policy making. - Valerio Capraro; Austin Lentsch; Daron Acemoglu; Selin Akgün; Aisel Akhmedova; Ennio Bilancini; Jean-François Bonnefon; Pablo Brañas-Garza; Luigi Butera; Karen M. Douglas; Jim A. C. Everett; Gerd Gigerenzer; et al. (CoRR, 2024)

The FIX Benchmark: Extracting Features Interpretable to eXperts. - Helen Jin; Shreya Havaldar; Chaehyeon Kim; Anton Xue; Weiqiu You; Helen Qu; Marco Gatti; Daniel A. Hashimoto; Bhuvnesh Jain; Amin Madani; Masao Sako; Lyle H. Ungar; et al. (CoRR, 2024)

Concept Graph Neural Networks for Surgical Video Understanding. - Yutong Ban; Jennifer A. Eckhoff; Thomas M. Ward; Daniel A. Hashimoto; Ozanan R. Meireles; Daniela Rus; Guy Rosman (IEEE Trans. Medical Imaging, 2024)

Disentangling Spatio-Temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video. - Guiqiu Liao; Matjaz Jogan; Sai Koushik; Eric Eaton; Daniel A. Hashimoto (WACV, 2025)

Slot-BERT: Self-supervised Object Discovery in Surgical Video. - Guiqiu Liao; Matjaz Jogan; Marcel Hussing; Kenta Nakahashi; Kazuhiro Yasufuku; Amin Madani; Eric Eaton; Daniel A. Hashimoto (CoRR, 2025)

FORLA:Federated Object-centric Representation Learning with Slot Attention. - Guiqiu Liao; Matjaz Jogan; Eric Eaton; Daniel A. Hashimoto (CoRR, 2025)

Surgeons Awareness, Expectations, and Involvement with Artificial Intelligence: a Survey Pre and Post the GPT Era. - Lorenzo Arboit; Dennis N. Schneider; Toby Collins; Daniel A. Hashimoto; Silvana Perretta; Bernard Dallemagne; Jacques Marescaux; EAES Working Group; Nicolas Padoy; Pietro Mascagni (CoRR, 2025)

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video. - Guiqiu Liao; Matjaz Jogan; Marcel Hussing; Edward Zhang; Eric Eaton; Daniel A. Hashimoto (CoRR, 2025)