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Indirect simultaneous positioning (ISP), where internal tissue points are placed at desired locations indirectly through the manipulation of boundary points, is a type of subtask frequently performed in robotic surgeries. Although…

Robotics · Computer Science 2023-06-27 Yafei Ou , Mahdi Tavakoli

Multi-organ segmentation of 3D medical images is fundamental with meaningful applications in various clinical automation pipelines. Although deep learning has achieved superior performance, the time and memory consumption of segmenting the…

Computer Vision and Pattern Recognition · Computer Science 2025-11-12 Xueqi Guo , Halid Ziya Yerebakan , Yoshihisa Shinagawa , Kritika Iyer , Gerardo Hermosillo Valadez

CT imaging is crucial for diagnosis, assessment and staging COVID-19 infection. Follow-up scans every 3-5 days are often recommended for disease progression. It has been reported that bilateral and peripheral ground glass opacification…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Fei Shan , Yaozong Gao , Jun Wang , Weiya Shi , Nannan Shi , Miaofei Han , Zhong Xue , Dinggang Shen , Yuxin Shi

Bronchoscopy inspection as a follow-up procedure from the radiological imaging plays a key role in lung disease diagnosis and determining treatment plans for the patients. Doctors needs to make a decision whether to biopsy the patients…

Computer Vision and Pattern Recognition · Computer Science 2018-02-13 Tao Tan , Zhang Li , Haixia Liu , Ping Liu , Wenfang Tang , Hui Li , Yue Sun , Yusheng Yan , Keyu Li , Tao Xu , Shanshan Wan , Ke Lou , Jun Xu , Huiming Ying , Quchang Ouyang , Yuling Tang , Zheyu Hu , Qiang Li

The COVID-19 pandemic has severely affected public health, healthcare systems, and daily life, especially amid resource shortages and limited workers. This crisis has underscored the urgent need for automation in hospital environments,…

Robotics · Computer Science 2025-07-16 Ting-Wei Ou , Jia-Hao Jiang , Guan-Lin Huang , Kuu-Young Young

Autonomy in robotic surgery is very challenging in unstructured environments, especially when interacting with deformable soft tissues. The main difficulty is to generate model-based control methods that account for deformation dynamics…

Robotics · Computer Science 2021-05-03 Fei Liu , Zihan Li , Yunhai Han , Jingpei Lu , Florian Richter , Michael C. Yip

Diagnostic activities, such as ultrasound scans and palpation, are relatively low-cost. They play a crucial role in the early detection of health problems and in assessing their progression. However, they are also error-prone activities,…

The nasopharyngeal (NP) swab sample test, commonly used to detect COVID-19 and other respiratory illnesses, involves moving a swab through the nasal cavity to collect samples from the nasopharynx. While typically this is done by human…

Robotics · Computer Science 2024-08-22 Peter Q. Lee , John S. Zelek , Katja Mombaur

In here, we introduce a novel approach to enhance the accuracy and efficiency of COVID-19 diagnosis using CT images. Leveraging state-of-the-art Transformer models in computer vision, we employed the base ViT Transformer configured for…

Image and Video Processing · Electrical Eng. & Systems 2023-11-29 Kenan Morani

Cerebral Microbleeds (CMBs), typically captured as hypointensities from susceptibility-weighted imaging (SWI), are particularly important for the study of dementia, cerebrovascular disease, and normal aging. Recent studies on COVID-19 have…

Image and Video Processing · Electrical Eng. & Systems 2023-01-24 Neus Rodeja Ferrer , Malini Vendela Sagar , Kiril Vadimovic Klein , Christina Kruuse , Mads Nielsen , Mostafa Mehdipour Ghazi

COVID-19 is an infectious disease that causes respiratory problems similar to those caused by SARS-CoV (2003). Currently, swab samples are being used for its diagnosis. The most common testing method used is the RT-PCR method, which has…

Image and Video Processing · Electrical Eng. & Systems 2020-06-25 Rohit Lokwani , Ashrika Gaikwad , Viraj Kulkarni , Aniruddha Pant , Amit Kharat

Genomic surveillance of infectious diseases allows monitoring circulating and emerging variants and quantifying their epidemic potential. However, due to the high costs associated with genomic sequencing, only a limited number of samples…

The objective of this paper is to significantly reduce the manual workload required from medical professionals in complex 3D segmentation tasks that cannot be yet fully automated. For instance, in radiotherapy planning, organs at risk must…

Surgical automation has the potential to enable increased precision and reduce the per-patient workload of overburdened human surgeons. An effective automation system must be able to sense and map subsurface anatomy, such as tumors,…

Robotics · Computer Science 2021-10-13 Brian Y. Cho , Tucker Hermans , Alan Kuntz

Utilizing computed tomography (CT) images to quickly estimate the severity of cases with COVID-19 is one of the most straightforward and efficacious methods. Two tasks were studied in this present paper. One was to segment the mask of…

Image and Video Processing · Electrical Eng. & Systems 2020-06-11 Wei Wu , Yu Shi , Xukun Li , Yukun Zhou , Peng Du , Shuangzhi Lv , Tingbo Liang , Jifang Sheng

Development of large-area, high-speed electronic skins is a grand challenge for robotics, prosthetics, and human-machine interfaces, but is fundamentally limited by wiring complexity and data bottlenecks. Here, we introduce Single-Pixel…

Robotics · Computer Science 2025-11-24 Ariel Slepyan , Laura Xing , Rudy Zhang , Nitish Thakor

During the COVID-19 pandemic, the sheer volume of imaging performed in an emergency setting for COVID-19 diagnosis has resulted in a wide variability of clinical CXR acquisitions. This variation is seen in the CXR projections used, image…

Deep Vein Thrombosis (DVT) is a common yet potentially fatal condition, often leading to critical complications like pulmonary embolism. DVT is commonly diagnosed using Ultrasound (US) imaging, which can be inconsistent due to its high…

The nasopharyngeal (NP) swab test is a method for collecting cultures to diagnose for different types of respiratory illnesses, including COVID-19. Delegating this task to robots would be beneficial in terms of reducing infection risks and…

Robotics · Computer Science 2025-05-13 Peter Q. Lee , John S. Zelek , Katja Mombaur