Daniel A. Hashimoto

According to our database, Daniel A. Hashimoto authored at least 23 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Sum-of-Checks: Structured Reasoning for Surgical Safety with Large Vision-Language Models.

Weiqiu You, Cassandra Goldberg, Amin Madani, Daniel A. Hashimoto, Eric Wong

CoRR, April, 2026

Artificial intelligence for surgical scene understanding: a systematic review and reporting quality meta-analysis.

Matthias Carstens, Shubha Vasisht, Zheyuan Zhang, Iulia Barbur, Annika Reinke, Lena Maier-Hein, Daniel A. Hashimoto, Fiona R. Kolbinger

npj Digit. Medicine, 2026

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

Medical Image Anal., 2026

2025

T-FIX: Text-Based Explanations with Features Interpretable to eXperts.

Shreya Havaldar, Helen Jin, Chaehyeon Kim, Anton Xue, Weiqiu You, Marco Gatti, Bhuvnesh Jain, Helen Qu, Daniel A. Hashimoto, Amin Madani, Rajat Deo, Sameed Ahmed M. Khatana, Gary E. Weissman, Lyle H. Ungar, Eric Wong

CoRR, November, 2025

The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment.

Deepak Alapatt, Jennifer A. Eckhoff, Zhiliang Lyu, Yutong Ban, Jean-Paul Mazellier, Sarah Choksi, Kunyi Yang, 2024 CVS Challenge Consortium, Quanzheng Li, Filippo Filicori, Xiang Li, Pietro Mascagni, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Nicolas Padoy

CoRR, September, 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, June, 2025

FORLA:Federated Object-centric Representation Learning with Slot Attention.

Guiqiu Liao, Matjaz Jogan, Eric Eaton, Daniel A. Hashimoto

CoRR, June, 2025

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, Eric Wong

J. Data-centric Mach. Learn. Res., 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video.

Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton, Daniel A. Hashimoto

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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, January, 2024

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, Christine Greenhow, Daniel A. Hashimoto, Julianne Holt-Lunstad, Jolanda Jetten, Simon Johnson, Chiara Longoni, Pete Lunn, Simone Natale, Iyad Rahwan, Neil Selwyn, Vivek Singh, Siddharth Suri, Jennifer Sutcliffe, Joe Tomlinson, Sander van der Linden, Paul A. M. Van Lange, Friederike Wall, Jay J. Van Bavel, Riccardo Viale

CoRR, 2024

2023

Understanding metric-related pitfalls in image analysis validation.

Annika Reinke, Minu Tizabi, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Carole H. Sudre, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Arriel Benis, Matthew B. Blaschko, Florian Büttner, M. Jorge Cardoso, Veronika Cheplygina, Jianxu Chen, Evangelia Christodoulou, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Luciana Ferrer, Adrian Galdran, Bram van Ginneken, Ben Glocker, Patrick Godau, Robert Haase, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Fabian Isensee, Pierre Jannin, Charles E. Kahn, Dagmar Kainmueller, Bernhard Kainz, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Jens Kleesiek, Florian Kofler, Thijs Kooi, Annette Kopp-Schneider, Michal Kozubek, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, Karel G. M. Moons, Henning Müller, Brennan Nichyporuk, Felix Nickel, Jens Petersen, Susanne M. Rafelski, Nasir M. Rajpoot, Mauricio Reyes, Michael A. Riegler, Nicola Rieke, Julio Saez-Rodriguez, Clara I. Sánchez, Shravya Shetty, Maarten van Smeden, Ronald M. Summers, Abdel A. Taha, Aleksei Tiulpin, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Manuel Wiesenfarth, Ziv R. Yaniv, Paul F. Jäger, Lena Maier-Hein

CoRR, 2023

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

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

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, Daniel A. Hashimoto

npj Digit. Medicine, 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, Carla M. Pugh, Danail Stoyanov, S. Swaroop Vedula, Kevin Cleary, Gabor Fichtinger, Germain Forestier, Bernard Gibaud, Teodor P. Grantcharov, Makoto Hashizume, Doreen Heckmann-Nötzel, Hannes Götz Kenngott, Ron Kikinis, Lars Mündermann, Nassir Navab, Sinan Onogur, Tobias Roß, Raphael Sznitman, Russell H. Taylor, Minu Dietlinde Tizabi, Martin Wagner, Gregory D. Hager, Thomas Neumuth, Nicolas Padoy, Justin Collins, Ines Gockel, Jan Goedeke, Daniel A. Hashimoto, Luc Joyeux, Kyle Lam, Daniel Richard Leff, Amin Madani, Hani J. Marcus, Ozanan R. Meireles, Alexander Seitel, Dogu Teber, Frank Ückert, Beat P. Müller-Stich, Pierre Jannin, Stefanie Speidel

Medical Image Anal., 2022

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, Mauricio Reyes, Michael A. Riegler, Manuel Wiesenfarth, Michael Baumgartner, Matthias Eisenmann, Doreen Heckmann-Nötzel, A. Emre Kavur, Tim Rädsch, Minu Dietlinde Tizabi, Laura Ación, Michela Antonelli, Tal Arbel, Spyridon Bakas, Peter Bankhead, Arriel Benis, M. Jorge Cardoso, Veronika Cheplygina, Beth A. Cimini, Gary S. Collins, Keyvan Farahani, Bram van Ginneken, Daniel A. Hashimoto, Michael M. Hoffman, Merel Huisman, Pierre Jannin, Charles E. Kahn, Alexandros Karargyris, Alan Karthikesalingam, Hannes Kenngott, Annette Kopp-Schneider, Anna Kreshuk, Tahsin M. Kurç, Bennett A. Landman, Geert Litjens, Amin Madani, Klaus H. Maier-Hein, Anne L. Martel, Peter Mattson, Erik Meijering, Bjoern H. Menze, David Moher, Karel G. M. Moons, Henning Müller, Felix Nickel, Brennan Nichyporuk, Jens Petersen, Nasir M. Rajpoot, Nicola Rieke, Julio Saez-Rodriguez, Clarisa Sánchez Gutiérrez, Shravya Shetty, Maarten van Smeden, Carole H. Sudre, Ronald M. Summers, Abdel A. Taha, Sotirios A. Tsaftaris, Ben Van Calster, Gaël Varoquaux, Paul F. Jäger

CoRR, 2022

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

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, Xiongbiao Luo, A. Jonathan McLeod, Duygu Sarikaya

Comput. methods Biomech. Biomed. Eng. Imaging Vis., 2021

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

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

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

2017

Machine learning and coresets for automated real-time video segmentation of laparoscopic and robot-assisted surgery.

Mikhail Volkov, Daniel A. Hashimoto, Guy Rosman, Ozanan R. Meireles, Daniela Rus

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017