Radiology and Imaging

Clinical characterization and chest CT findings in laboratory-confirmed COVID-19: a systematic review and meta-analysis

1. Golnaz Vaseghi
2. Marjan Mansourian
3. Raheleh Karimi
4. Kiyan Heshmat-Ghahdarijani
5. Sadegh Baradaran Mahdavi
6. Amirhossein Pezeshki
7. Behrooz Ataei
8. Alireza Zandifar
9. Omid Shafaat
10. Shaghayegh Haghjoo Javanmard

Reviewed by ScreenIT

Key Points of Clinical and CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV) Imported Pneumonia Based On 21 Cases Analysis

1. Z.F. Xu
2. W.X. Wu
3. Y.B. Jin
4. A.Z. Pan

Reviewed by ScreenIT

Deep Learning Enables Accurate Diagnosis of Novel Coronavirus (COVID-19) With CT Images

1. Ying Song
2. Shuangjia Zheng
3. Liang Li
4. Xiang Zhang
5. Xiaodong Zhang
6. Ziwang Huang
7. Jianwen Chen
8. Ruixuan Wang
9. Huiying Zhao
10. Yutian Chong
11. Jun Shen
12. Yunfei Zha
13. Yuedong Yang

Reviewed by ScreenIT

Multi-centre analysis of networks and genes modulated by hypothalamic stimulation in patients with aggressive behaviours

1. Flavia Venetucci Gouveia
2. Jurgen Germann
3. Gavin JB Elias
4. Alexandre Boutet
5. Aaron Loh
6. Adriana Lucia Lopez Rios
7. Cristina Torres Diaz
8. William Omar Contreras Lopez
9. Raquel Chacon Ruiz Martinez
10. Erich Talamoni Fonoff
11. Juan Carlos Benedetti-Isaac
12. Peter Giacobbe
13. Pablo M Arango Pava
14. Han Yan
15. George M Ibrahim
16. Nir Lipsman
17. Andres Lozano
18. Clement Hamani

• Curated by eLife

  eLife assessment

  This study presents useful structural and functional connectivity profiles of patients receiving deep brain stimulation in the posterior hypothalamus for severe and refractory aggressive behavior. The inclusion of data from multiple centers is compelling. However, the imaging analysis is incomplete and the interpretation of the findings is not solid.

Reviewed by eLife

Post-traumatic Stress Disorder symptom sub-cluster severity predicts gray matter volume changes better than overall symptom severity

1. Sheeva Azma
2. Rachel Thompson
3. Diana Bermudez
4. Rachael Renton
5. Adebanke Adeyemo
6. James Meyerhoff
7. Richard Amdur
8. Bonnie Green
9. Mary Ann Dutton
10. John W. VanMeter

Reviewed by PeerRef

Early stage NSCLS patients’ prognostic prediction with multi-information using transformer and graph neural network model

1. Jie Lian
2. Jiajun Deng
3. Edward S Hui
4. Mohamad Koohi-Moghadam
5. Yunlang She
6. Chang Chen
7. Varut Vardhanabhuti

• Curated by eLife

  Evaluation Summary:

  This work presents a new model that leverages imaging and non-imaging data for the prediction of the survival of patients with early-stage NSCLC. The new model sought to demonstrate the roles of imaging and non-imaging features in determining high-risk nodes within the graph neural network, and the results have the potential of broad interest to clinicians within the field of cancer and have a high value towards clinical application.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. The reviewer remained anonymous to the authors.)

Reviewed by eLife

Validation of a Deep Learning Model to aid in COVID-19 Detection from Digital Chest Radiographs

1. Pranav Ajmera
2. Amit Kharat
3. Sanjay Khaladkar
4. Tanveer Gupte
5. Richa Pant
6. Viraj Kulkarni
7. Vinay Duddalwar
8. Deepak Patkar
9. Mona Bhatia
10. Purnachandra Lamghare

Reviewed by ScreenIT

Uncertainty Quantification in COVID-19 Detection Using Evidential Deep Learning

1. Bardia Khosravi
2. Shahriar Faghani
3. Amir Ashraf-Ganjouei

Reviewed by ScreenIT

Radiological Findings in SARS-CoV-2 Viral Pneumonia Compared to Other Viral Pneumonias: A Single-Centre Study

1. Rana Günöz Cömert
2. Eda Cingöz
3. Sevim Meşe
4. Görkem Durak
5. Atadan Tunaci
6. Ali Ağaçfidan
7. Mustafa Önel
8. Şükrü Mehmet Ertürk

Reviewed by ScreenIT

PixelPrint: Three-dimensional printing of realistic patient-specific lung phantoms for validation of computed tomography post-processing and inference algorithms

1. Nadav Shapira
2. Kevin Donovan
3. Kai Mei
4. Michael Geagan
5. Leonid Roshkovan
6. Grace J. Gang
7. Mohammed Abed
8. Nathaniel Linna
9. Coulter Cranston
10. Cathal O’Leary
11. Ali Dhanaliwala
12. Despina Kontos
13. Harold I. Litt
14. J. Webster Stayman
15. Russell T. Shinohara
16. Peter B. Noël

Reviewed by ScreenIT