Awards

NDI/IPCAI Best Paper Awards

These awards recognize the best paper and runner-up as scored by two rounds of external reviewers as well as Area Chairs scores. Papers are shortlisted and an award committee composed of members from the IPCAI Steering Committee and IPCAI Program Chair select the winner and the runner ups based on rankings obtained from nine independent external reviewers. This award is generously sponsored by NDI as follows:

Best Paper Award (€800.00):
Capturing Contact in Mitral Valve Dynamic Closure with Fluid-Structure Interaction Simulation
Nariman Khaledian (Inria Nancy Frand Est)*; Pierre-Frederic Villard (LORIA); Marie-Odile Berger (Inria)

Best Paper Award Runner-up (€500.00):
Transfer of Learned Dynamics for Robust Compensation of Variable Surgical Robotic Setups
Nural Yilmaz (Marmara University)*; Jintan Zhang (Johns Hopkins University); Peter Kazanzides (Johns Hopkins University); Ugur Tumerdem (Marmara University)

Honorary Mentions:
PATG: Position-aware Temporal Graph Networks for Surgical Phase Recognition on Laparoscopic Videos
Abdolrahim Kadkhodamohammadi (Medtronic)*; Imanol Luengo (Medtronic); Danail Stoyanov (Medtronic)

Task Model-Specific Operator Skill Assessment in Routine Fetal Ultrasound Scanning
Yipei Wang (University of Oxford)*; Qianye Yang (University College London); Lior Drukker (University of Oxford); Aris Papageorghiou (University of Oxford); Yipeng Hu (University College London); Alison Noble (University of Oxford)

Sponsored by:

Intuitive/IPCAI Bench to Bedside Award

The purpose of this award is to recognize the efforts in translating IPCAI solutions to the clinical setting. Nominated papers include clinical evaluation of a CAI technology, ideally on a large number of patients. Less emphasis is put on technical innovation, rather on detailed evaluation. These papers will be shortlisted and an award committee composed of members from the IPCAI Steering Committee and Program Chairs will select the winner based on rankings obtained from three independent external reviewers. This award is generously sponsored by Intuitive Surgical as follows:

Bench to Bedside Award (€800.00):
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation
Yangqian Wu (Shanghai Jiao Tong University)*; Minghui Zhang (Shanghai Jiao Tong University); Weihao Yu (Shanghai Jiao Tong University); Hao Zheng (Shanghai Jiao Tong University); Jiasheng Xu (Shanghai Jiao Tong University); Yun Gu (Shanghai Jiao Tong University)

Bench to Bedside Award Runner-up (€500.00):
AutoInFocus, a new paradigm for ultrasound-guided spine intervention: a multi-platform validation study
Keshuai Xu (Johns Hopkins University)*; Baichuan Jiang (Johns Hopkins University); Abhay Moghekar (Johns Hopkins School of Medicine); Peter Kazanzides (Johns Hopkins University); Emad Boctor (Johns Hopkins University)

Honorary Mention:
Reducing Prediction Volatility in the Surgical Workflow Recognition of Transsphenoidal Neurosurgery
Adrito Das (University College London)*; Sophia Bano (University College London); Francisco Vasconcelos (University College London); Danyal Z. Khan (University College London); Hani J Marcus (University College London); Danail Stoyanov (University College London)


Sponsored by:

Digital Surgery/IPCAI Audience Choice Presentation Awards

These awards will be selected by the audience following the two rounds of short and long presentations at IPCAI 2022. Papers will be shortlisted based on audience voting on the first conference day. Six selected papers, will get a chance to pitch their work in a long presentation on the second day of the conference. The best paper and runner up will be selected after the final voting. This award is generously sponsored by Digital Surgery as follows:


Audience Choice Presentation Award (600.00):
Reducing Prediction Volatility in the Surgical Workflow Recognition of Transsphenoidal Neurosurgery

Adrito Das (University College London)*; Sophia Bano (University College London); Francisco Vasconcelos (University College London); Danyal Z. Khan (University College London); Hani J Marcus (University College London); Danail Stoyanov (University College London)

Audience Choice Presentation Award Runner-up (€400.00):
A Comparative Study on Computational Models of Multi-needle Radiofrequency Ablation of Large Liver Tumor
Chloé Audigier (Siemens-Healthineers)*; Teodora Mohaiu (Siemens); Amilcar Alzaga (Siemens Healthineers); Reto Bale (Reto Bale, University Clinic Innsbruck); Tommaso Mansi (Siemens Healthineers)

Audience Choice Presentation Award Long Abstract (€400.00):
CAL-Tutor: A mixed reality platform for training in obstetric sonography
Brian Dromey (University College London)*; Manuel Birlo (University College London); Philip J Edwards (University College London); Anna L. David (University College London); Donald Peebles (University College London); Danail Stoyanov (University College London)

Sponsored by:

NVIDIA Holoscan/IPCAI Machine Learning in CAI Award

The purpose of this award is to recognize machine learning and algorithmic novelty in IPCAI solutions. Nominated papers will be shortlisted and an award committee composed of members from the IPCAI Steering Committee and Program Chairs will select the winner based on rankings obtained from three independent external reviewers. NVIDIA generously sponsored the awards by providing a GPU to the winner. This award is generously sponsored by NVIDIA as follows:


Machine Learning in CAI Award (One Nvidia RTX 3090 or equivalent GPU):
Can Uncertainty Estimation Predict Segmentation Performance in Ultrasound Bone Imaging?
Prashant U Pandey (University of British Columbia)*; Pierre Guy (University of British Columbia); Antony J Hodgson (University of British Columbia)

Machine Learning in CAI Award Runner-up (€500.00):
Increasing Diagnostic Yield of Prostate Cancer During Ultrasound Guided Biopsy in the Presence of Label Noise
Minh Nguyen Nhat To (University of British Columbia)*; Fahimeh Fooladgar (University of British Columbia); Golara Javadi (University of British Columbia); Samareh Samadi (University of British Columbia); Sharareh Bayat (University of British Columbia); Samira Sojoudi (University of British Columia); Walid Eshumani (VGH); Antonio Hurtado-coll (Vancouver General Hospital); Silvia Chang (Vancouver General Hospital); Peter Black (Vancouver Prostate Centre); Parvin Mousavi (Queen's University); Purang Abolmaesumi (University of British Columbia)

Sponsored by:

Auris/IPCAI Young Investigator Travel Awards

The purpose of the award is to help young investigators (including grad students and junior researchers) with accepted papers at IPCAI conference to attend IPCAI/CARS 2022. Each award will help partially cover expenses towards air travel in economy class, local hotel stay (3 stars or equivalent category), and IPCAI registration. IPCAI Program Chairs will review requests and make a decision. We will grant two travel awards to on-site presenting authors and two awards to virtual attending presenting authors. This award is generously sponsored by AURIS as follows:

Two Young Investigator Travel Awards (In-person-750.00):
Chiara Di Vece (University College London) for Deep Learning-based Plane Pose Regression in Obstetric Ultrasound
Tajwar A Aleef (University of British Columbia) for
Registration of trans-perineal template mapping biopsy cores to volumetric ultrasound

Two Young Investigator Travel Awards (Virtual- €500.00):
Nathan Lampen (Rensselaer Polytechnic Institute) for Biomechanics-Informed Deep Learning for Facial Tissue Deformation Modeling in Orthognathic Surgical Planning
Nural Yilmaz (Marmara University) for Transfer of Learned Dynamics for Robust Compensation of Variable Surgical Robotic Setups

Sponsored by:

Best Reviewer Awards

The purpose of these awards is to recognize the efforts and dedication of reviewers that provide outstanding evaluations of the manuscripts they are assigned. The Area Chairs nominated and ranked each reviewer during the review process of IPCAI 2022 papers. The winners are selected from the nominees by the Area Chairs and the Program Chairs rankings. This award is generously sponsored by Cascination and RetinAI as follows:


Two Reviewer Awards (€300.00):

Robert Grupp, Johns Hopkins University (JHU)
Dominik Rivoir, National Center for Tumor Diseases (NCT)

Sponsored by: