Radiology and Imaging

A Hybrid Pipeline for Covid-19 Screening Incorporating Lungs Segmentation and Wavelet Based Preprocessing of Chest X-Rays

1. Haikal Abdulah
2. Benjamin Huber
3. Hassan Abdallah
4. Luigi L. Palese
5. Hamid Soltanian-Zadeh
6. Domenico L. Gatti

Reviewed by PREreview, ScreenIT

Age-related differences in the functional topography of the locus coeruleus and their implications for cognitive and affective functions

1. Dániel Veréb
2. Mite Mijalkov
3. Anna Canal-Garcia
4. Yu-Wei Chang
5. Emiliano Gomez-Ruiz
6. Blanca Zufiria Gerboles
7. Miia Kivipelto
8. Per Svenningsson
9. Henrik Zetterberg
10. Giovanni Volpe
11. Matthew Betts
12. Heidi IL Jacobs
13. Joana B Pereira

• Curated by eLife

  eLife assessment

  This study provides fundamental imaging evidence from two independent functional imaging datasets, for a rostral-caudal gradient of locus coeruleus connectivity, which changes across the lifespan. The gradient approach is well-established and convincing results were obtained and validated using large 3T and 7T fMRI datasets. This work will be of interest to clinical and cognitive neuroscientists.

Reviewed by eLife

ReCoNet: Multi-level Preprocessing of Chest X-rays for COVID-19 Detection Using Convolutional Neural Networks

1. Sabbir Ahmed
2. Moi Hoon Yap
3. Maxine Tan
4. Md. Kamrul Hasan

Reviewed by ScreenIT

3D virtual pathohistology of lung tissue from Covid-19 patients based on phase contrast X-ray tomography

1. Marina Eckermann
2. Jasper Frohn
3. Marius Reichardt
4. Markus Osterhoff
5. Michael Sprung
6. Fabian Westermeier
7. Alexandar Tzankov
8. Christopher Werlein
9. Mark Kühnel
10. Danny Jonigk
11. Tim Salditt

Reviewed by ScreenIT

Chest X-ray Classification Using Deep Learning for Automated COVID-19 Screening

1. Ankita Shelke
2. Madhura Inamdar
3. Vruddhi Shah
4. Amanshu Tiwari
5. Aafiya Hussain
6. Talha Chafekar
7. Ninad Mehendale

Reviewed by ScreenIT

Brain MR Spectroscopic Findings in 3 Consecutive Patients with COVID-19: Preliminary Observations

1. O. Rapalino
2. A. Weerasekera
3. S.J. Moum
4. K. Eikermann-Haerter
5. B.L. Edlow
6. D. Fischer
7. A. Torrado-Carvajal
8. M.L. Loggia
9. S.S. Mukerji
10. P.W. Schaefer
11. R.G. Gonzalez
12. M.H. Lev
13. E.-M. Ratai

Reviewed by ScreenIT

A Comparative Study of Target Reconstruction of Ultra-High-Resolution CT for Patients with Corona-Virus Disease 2019 (COVID-19)

1. Shao-mao Lv
2. Yu Lin
3. Jiang-he Kang
4. Shao-yin Duan
5. Wei-guo Zhang
6. Jin-an Wang

Reviewed by ScreenIT

A web survey to assess the use efficacy of personnel protective materials among allied health care workers during COVID-19 pandemic at North-East India

1. Rahul P Kotian
2. Manna Debnath
3. Zosangliani
4. Brayal D’souza
5. Disha Faujdar

Reviewed by ScreenIT

Preliminary detection of lung hypoperfusion in discharged Covid-19 patients during recovery

1. Gianluigi Patelli
2. Silvia Paganoni
3. Francesca Besana
4. Fabiana Codazzi
5. Mattia Ronzoni
6. Simone Manini
7. Andrea Remuzzi

Reviewed by ScreenIT

Extent of pulmonary thromboembolic disease in patients with COVID-19 on CT: relationship with pulmonary parenchymal disease

1. C. Fang
2. G. Garzillo
3. B. Batohi
4. J.T.H. Teo
5. M. Berovic
6. P.S. Sidhu
7. H. Robbie

Reviewed by ScreenIT