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Computers in Biology and Medicine|December 26, 2024
A wrapper method for finding optimal subset of multimodal Magnetic Resonance Imaging sequences for ischemic stroke lesion segmentationRachana Sathish, Debdoot Sheet
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test LossRakshith Sathish, Rachana Sathish, Ramanathan Sethuraman, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Assessing Lobe-wise Burden of COVID-19 Infection in Computed Tomography of Lungs using Knowledge Fusion from Multiple DatasetsMahalakshumi Visvanathan, Velmurugan Balasubramanian, Rachana Sathish, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Adversarially Trained Convolutional Neural Networks for Semantic Segmentation of Ischaemic Stroke Lesion using Multisequence Magnetic Resonance ImagingRachana Sathish, Ronnie Rajan, Anusha Vupputuri, et al.
Medical Image Analysis|January 9, 2021
CHAOS Challenge - combined (CT-MR) healthy abdominal organ segmentationA Emre Kavur, N Sinem Gezer, Mustafa Barış, et al.
Medical Image Analysis|July 14, 2023
CholecTriplet2022: Show me a tool and tell me the triplet - An endoscopic vision challenge for surgical action triplet detectionChinedu Innocent Nwoye, Tong Yu, Saurav Sharma, et al.
Medical Image Analysis|November 1, 2019
IDRiD: Diabetic Retinopathy - Segmentation and Grading ChallengePrasanna Porwal, Samiksha Pachade, Manesh Kokare, et al.
Medical Image Analysis|April 2, 2023
CholecTriplet2021: A benchmark challenge for surgical action triplet recognitionChinedu Innocent Nwoye, Deepak Alapatt, Tong Yu, et al.
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