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Bruce R. Fischl, Ph.D.


This page shows the publications co-authored by Bruce Fischl and Iman Aganj.
Connection Strength

  1. Aganj I, Frau-Pascual A, Iglesias JE, Yendiki A, Augustinack JC, Salat DH, Fischl B. COMPENSATORY BRAIN CONNECTION DISCOVERY IN ALZHEIMER'S DISEASE. Proc IEEE Int Symp Biomed Imaging. 2020 Apr; 2020:283-287.
    View in: PubMed
    Score: 0.972
  2. Aganj I, Fischl B. Expected Label Value Computation for Atlas-Based Image Segmentation. Proc IEEE Int Symp Biomed Imaging. 2019 Apr; 2019:334-338.
    View in: PubMed
    Score: 0.915
  3. Aganj I, Harisinghani MG, Weissleder R, Fischl B. Unsupervised Medical Image Segmentation Based on the Local Center of Mass. Sci Rep. 2018 08 29; 8(1):13012.
    View in: PubMed
    Score: 0.862
  4. Aganj I, Fischl B. Multimodal Image Registration through Simultaneous Segmentation. IEEE Signal Process Lett. 2017 Nov; 24(11):1661-1665.
    View in: PubMed
    Score: 0.808
  5. Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B. Mid-space-independent deformable image registration. Neuroimage. 2017 05 15; 152:158-170.
    View in: PubMed
    Score: 0.776
  6. Aganj I, Iglesias JE, Reuter M, Sabuncu MR, Fischl B. Mid-Space-Independent Symmetric Data Term for Pairwise Deformable Image Registration. Med Image Comput Comput Assist Interv. 2015 Oct; 9350:263-271.
    View in: PubMed
    Score: 0.711
  7. Aganj I, Reuter M, Sabuncu MR, Fischl B. Avoiding symmetry-breaking spatial non-uniformity in deformable image registration via a quasi-volume-preserving constraint. Neuroimage. 2015 Feb 01; 106:238-51.
    View in: PubMed
    Score: 0.661
  8. Aganj I, Reuter M, Sabuncu MR, Fischl B. SYMMETRIC NON-RIGID IMAGE REGISTRATION VIA AN ADAPTIVE QUASI-VOLUME-PRESERVING CONSTRAINT. Proc IEEE Int Symp Biomed Imaging. 2013 Apr; 2013:230-233.
    View in: PubMed
    Score: 0.593
  9. Aganj I, Yeo BT, Sabuncu MR, Fischl B. On removing interpolation and resampling artifacts in rigid image registration. IEEE Trans Image Process. 2013 Feb; 22(2):816-27.
    View in: PubMed
    Score: 0.573
  10. Tong T, Aganj I, Ge T, Polimeni JR, Fischl B. Functional density and edge maps: Characterizing functional architecture in individuals and improving cross-subject registration. Neuroimage. 2017 09; 158:346-355.
    View in: PubMed
    Score: 0.199
  11. Koley S, Chakraborty C, Mainero C, Fischl B, Aganj I. A Fast Approach to Automatic Detection of Brain Lesions. Brainlesion. 2016; 10154:52-61.
    View in: PubMed
    Score: 0.196
  12. Frau-Pascual A, Fogarty M, Fischl B, Yendiki A, Aganj I. Quantification of structural brain connectivity via a conductance model. Neuroimage. 2019 04 01; 189:485-496.
    View in: PubMed
    Score: 0.055
  13. Wang H, Magnain C, Wang R, Dubb J, Varjabedian A, Tirrell LS, Stevens A, Augustinack JC, Konukoglu E, Aganj I, Frosch MP, Schmahmann JD, Fischl B, Boas DA. as-PSOCT: Volumetric microscopic imaging of human brain architecture and connectivity. Neuroimage. 2018 01 15; 165:56-68.
    View in: PubMed
    Score: 0.051
  14. Iglesias JE, Sabuncu MR, Aganj I, Bhatt P, Casillas C, Salat D, Boxer A, Fischl B, Van Leemput K. An algorithm for optimal fusion of atlases with different labeling protocols. Neuroimage. 2015 Feb 01; 106:451-63.
    View in: PubMed
    Score: 0.041
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.