N. Bhasker
6 Papers
N. Bhasker is an academic researcher. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 2, co-authored 3 publications.
Chat about Author
Papers
CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
Chinedu Innocent Nwoye,Deepak Alapatt,Tong Yu,Armine Vardazaryan,Fan Xia,Zixu Zhao,Tong Xia,Fu Jia,Yuxuan Yang,De-Shuai Yu,Guoyan Zheng,Xiaotian Duan,Neil Getty,Ricardo Sanchez-Matilla,Maria Robu,Li Zhang,Hua-Bin Chen,Jiacheng Wang,Liansheng Wang,Bokai Zhang,Beerend G. A. Gerats,Surubhotla Raviteja,Rachana Sathish,Rong Tao,Satoshi Kondo,Winnie Pang,Hongliang Ren,J. Abbing,Mohammad Hasan Sarhan,Sebastian Bodenstedt,N. Bhasker,Bruno Oliveira,Helena R. Torres,Liping Ling,Finn Gaida,Tobias Czempiel,Joao L. Vilacca,Pedro Morais,Jaime Francisco Cruz Fonseca,Ruby Egging,I. N. Wijma,Chen Qian,Gui-Bin Bian,Zhen Li,Velmurugan Balasubramanian,Debdoot Sheet,Imanol Luengo,Yuanbo Zhu,Shuai Ding,Jakob-Anton Aschenbrenner,Nicolas Elini van der Kar,Mengya Xu,Mobarakol Islam,Lalithkumar Seenivasan,Alexander Jenke,Danail Stoyanov,Didier Mutter,Pietro Mascagni,Barbara Seeliger,Cristians Gonzalez,Nicolas Padoy +60 more
TL;DR: The recent CholecTriplet2021 challenge as mentioned in this paper was an endoscopic vision challenge organized at MICCAI 2021 for the recognition of surgical action triplets in laparoscopic videos.
Surgomics: personalized prediction of morbidity, mortality and long-term outcome in surgery using machine learning on multimodal data
Martin Wagner,Johanna M. Brandenburg,Sebastian Bodenstedt,A. Schulze,Alexander C Jenke,Antonia Stern,Marie Daum,Lars Mündermann,Fiona R. Kolbinger,N. Bhasker,Gerd Schneider,Grit Krause-Jüttler,Hisham Alwanni,Fleur Fritz-Kebede,Oliver Burgert,Dirk Wilhelm,Johannes Fallert,Felix Nickel,Lena Maier-Hein,Martin Dugas,Marius Distler,Jürgen Weitz,Beat P. Müller-Stich,Stefanie Speidel +23 more
TL;DR: Surgomics as discussed by the authors is defined as the entirety of surgomic features that are process characteristics of a surgical procedure automatically derived from multimodal intraoperative data to quantify processes in the operating room.
Active learning for extracting surgomic features in robot-assisted minimally invasive esophagectomy: a prospective annotation study.
Johanna M. Brandenburg,Alexander C Jenke,Antonia Stern,Marie Daum,André Schulze,Rayan Younis,Philipp Petrynowski,Tornike Davitashvili,Vincent Vanat,N. Bhasker,Sophia Schneider,Lars Mündermann,Annika Reinke,Fiona R. Kolbinger,Vanessa Jörns,Fleur Fritz-Kebede,Martin Dugas,Lena Maier-Hein,Rosa Klotz,Marius Distler,Jürgen Weitz,Beat P. Müller-Stich,Stefanie Speidel,Sebastian Bodenstedt,Martin Wagner +24 more
TL;DR: Ten surgomic features relevant for bleeding events in esophageal surgery automatically extracted from surgical video using ML showed the potential to reduce annotation effort while keeping ML performance high for selected features.
6
Prediction of clinically relevant postoperative pancreatic fistula using radiomic features and preoperative data
N. Bhasker,Fiona R. Kolbinger,Alex Zwanenburg,Steffen Löck,Jürgen Weitz,Ralf-Thorsten Hoffmann,Marius Distler,Stefanie Speidel,Stefan Leger,Jens-Peter Kühn +9 more
TL;DR: Preoperative data can be useful for an accurate risk assessment of CR-POPF, according to a retrospective study of radiomic risk models that use preoperative computed tomography (CT)-based radiomic features in a cohort of 148 patients having undergone pancreaticoduodenectomy.
AutoFRS: an externally validated, annotation-free approach to computational preoperative complication risk stratification in pancreatic surgery - an experimental study.
Fiona R. Kolbinger,N. Bhasker,Felix Schön,Daniel Cser,Alex Zwanenburg,Steffen Löck,Sebastian Hempel,André Schulze,Nadiia Skorobohach,H. M. Schmeiser,R. Klotz,Ralf-Thorsten Hoffmann,P. Probst,Beat Müller,S. Bodenstedt,Martin Wagner,Jürgen Weitz,Jens-Peter Kühn,Marius Distler,Stefanie Speidel +19 more