output
20102026
most citedHMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

65 citations

6 papers

cs.RO2026★ 1 cited

MiDAS: A Multimodal Data Acquisition System and Dataset for Robot-Assisted Minimally Invasive Surgery

Keshara Weerasinghe, Seyed Hamid Reza Roodabeh, Andrew Hawkins +3

Background: Robot-assisted minimally invasive surgery (RMIS) research increasingly relies on multimodal data, yet access to proprietary robot telemetry remains a major barrier. We…

physics.med-ph2022★ 1 cited

OpenKBP-Opt: An international and reproducible evaluation of 76 knowledge-based planning pipelines

Aaron Babier, Rafid Mahmood, Binghao Zhang +56

We establish an open framework for developing plan optimization models for knowledge-based planning (KBP) in radiotherapy. Our framework includes reference plans for 100 patients w…

cs.LG2020★ 2 cited

Sparse Longitudinal Representations of Electronic Health Record Data for the Early Detection of Chronic Kidney Disease in Diabetic Patients

Jinghe Zhang, Kamran Kowsari, Mehdi Boukhechba +3

Chronic kidney disease (CKD) is a gradual loss of renal function over time, and it increases the risk of mortality, decreased quality of life, as well as serious complications. The…

eess.IV2020★ 65 cited

HMIC: Hierarchical Medical Image Classification, A Deep Learning Approach

Kamran Kowsari, Rasoul Sali, Lubaina Ehsan +7

Image classification is central to the big data revolution in medicine. Improved information processing methods for diagnosis and classification of digital medical images have show…

astro-ph.GA2017★ 26 cited

The Fine Line Between Normal and Starburst Galaxies

Nicholas Lee, Kartik Sheth, Kimberly S. Scott +10

Recent literature suggests that there are two modes through which galaxies grow their stellar mass - a normal mode characterized by quasi-steady star formation, and a highly effici…

stat.ME2010★ 41 cited

Continual Reassessment and Related Dose-Finding Designs

John O'Quigley, Mark Conaway

During the last twenty years there have been considerable methodological developments in the design and analysis of Phase 1, Phase 2 and Phase 1/2 dose-finding studies. Many of the…