What is she best known for?
The fields of study she is best known for:
- Magnetic resonance imaging
- Internal medicine
- Radiology
Her scientific interests lie mostly in Magnetic resonance imaging, Cartilage, Anatomy, Nuclear medicine and Osteoporosis.
Her Magnetic resonance imaging study results in a more complete grasp of Radiology.
Her research integrates issues of Knee Joint, Histology, Pathology and Knee cartilage, Articular cartilage in her study of Cartilage.
The concepts of her Anatomy study are interwoven with issues in Femur and Reproducibility.
The various areas that Sharmila Majumdar examines in her Nuclear medicine study include Trabecular bone, Tomography, Saturation transfer and In vivo.
Her studies in Osteoporosis integrate themes in fields like Cortical bone and Biomedical engineering.
Her most cited work include:
- Noninvasive assessment of bone mineral and structure: state of the art. (819 citations)
- T2 Relaxation Time of Cartilage at MR Imaging: Comparison with Severity of Knee Osteoarthritis (437 citations)
- Osteoarthritis: MR imaging findings in different stages of disease and correlation with clinical findings. (433 citations)
What are the main themes of her work throughout her whole career to date?
Sharmila Majumdar mainly focuses on Magnetic resonance imaging, Cartilage, Nuclear medicine, Radiology and Anatomy.
Her Magnetic resonance imaging research focuses on Biomedical engineering and how it relates to Image resolution and Image processing.
The Cartilage study combines topics in areas such as Lesion, Pathology, Sagittal plane, Anterior cruciate ligament and Articular cartilage.
In her research on the topic of Nuclear medicine, Cortical bone is strongly related with Osteoporosis.
Her work in the fields of Radiology, such as Ultrasound, intersects with other areas such as Neuroradiology.
Her work in Tibia and Biomechanics is related to Anatomy.
She most often published in these fields:
- Magnetic resonance imaging (49.02%)
- Cartilage (31.57%)
- Nuclear medicine (26.47%)
What were the highlights of her more recent work (between 2016-2021)?
- Magnetic resonance imaging (49.02%)
- Cartilage (31.57%)
- Artificial intelligence (6.67%)
In recent papers she was focusing on the following fields of study:
Sharmila Majumdar mostly deals with Magnetic resonance imaging, Cartilage, Artificial intelligence, Nuclear medicine and Deep learning.
Her Magnetic resonance imaging study combines topics from a wide range of disciplines, such as Physical medicine and rehabilitation, Anterior cruciate ligament reconstruction, Hip arthroscopy and Physical therapy, Femoroacetabular impingement.
Cartilage is a subfield of Anatomy that Sharmila Majumdar studies.
Her Artificial intelligence study combines topics in areas such as Machine learning, Radiography and Pattern recognition.
Her Nuclear medicine study incorporates themes from Confidence interval, Anterior cruciate ligament, Tibia, Rank correlation and Receiver operating characteristic.
Her studies in Tibia integrate themes in fields like Bone mineral, Bone density, Quantitative computed tomography and Femur.
Between 2016 and 2021, her most popular works were:
- Use of 2D U-Net Convolutional Neural Networks for Automated Cartilage and Meniscus Segmentation of Knee MR Imaging Data to Determine Relaxometry and Morphometry (180 citations)
- Applying Densely Connected Convolutional Neural Networks for Staging Osteoarthritis Severity from Plain Radiographs. (45 citations)
- 3D convolutional neural networks for detection and severity staging of meniscus and PFJ cartilage morphological degenerative changes in osteoarthritis and anterior cruciate ligament subjects. (42 citations)
In her most recent research, the most cited papers focused on:
- Magnetic resonance imaging
- Internal medicine
- Radiology
The scientist’s investigation covers issues in Magnetic resonance imaging, Cartilage, Radiology, Radiography and Artificial intelligence.
Her Magnetic resonance imaging research incorporates elements of Tibia, Anterior cruciate ligament reconstruction and Femoroacetabular impingement.
Her Tibia research is multidisciplinary, relying on both Osteoporosis, Femur and Nuclear medicine.
Her Nuclear medicine research includes elements of Cortical bone, Bone density, Quantitative computed tomography and Radius.
The Cartilage study combines topics in areas such as Gait, Physical medicine and rehabilitation, Lesion and Gait analysis.
Her work on Anterior cruciate ligament, Hip surgery and Hip arthroscopy is typically connected to Intraclass correlation as part of general Radiology study, connecting several disciplines of science.
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