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  1. Article ; Online: Improving duplex ultrasound methods for diagnosing functional popliteal artery entrapment syndrome.

    Barrett, David W / Carreira, Joao / Bowling, Frank L / Wolowczyk, Leszek / Rogers, Steven K

    Scandinavian journal of medicine & science in sports

    2024  Volume 34, Issue 3, Page(s) e14592

    Abstract: Objectives: Popliteal artery entrapment syndrome (PAES) is a rare condition where musculoskeletal structures compress the popliteal artery (POPA) leading to vascular compromise. This study investigates the effect of dynamic plantar- and dorsi-flexion ... ...

    Abstract Objectives: Popliteal artery entrapment syndrome (PAES) is a rare condition where musculoskeletal structures compress the popliteal artery (POPA) leading to vascular compromise. This study investigates the effect of dynamic plantar- and dorsi-flexion loading on POPA hemodynamic parameters to develop a robust diagnostic ultrasound-based protocol for diagnosing functional PAES.
    Methods: Healthy individuals (n = 20), recreational athletes (n = 20), and symptomatic (n = 20) PAES patients were consented. Triplex ultrasound imaging of lower limb arteries was performed (n = 120 limbs). Proximal and distal POPA's in dorsi-/plantar-flexion, in prone and erect positions, were imaged at rest and flexion. Peak systolic velocities (cm/s) and vessel diameter (antero-posterior, cm) was measured.
    Results: Distal vessel occlusion was noted across all three groups whilst prone during plantar-flexion (62.7%). POPA occlusion was only noted in the proximal vessel within the patient group (15.8%). When prone, 50% of control (n = 40 limbs), 70% of athletes (n = 40 limbs), and 65% of patients (n = 40 limbs) had distal POPA occlusion in plantar-flexion. When prone, recreational athletes (5%), and patients (12.5%) had distal POPA compression under dorsi-flexion. POPA occlusions with the patient in erect position were only noted in the symptomatic patient group under both dorsi-flexion (15.8%) and plantar-flexion (23.7%).
    Conclusion: Compression of the POPA on ultrasound should not be the sole diagnostic criteria for PAES. POPA compression exists in asymptomatic individuals, primarily under prone plantar-flexion. To reduce false positives, ultrasound-based protocols should focus on scanning patients in the erect position only to diagnose PAES, rather than asymptomatic POPA compression. A distinction should be made between the two.
    MeSH term(s) Humans ; Arterial Occlusive Diseases/diagnostic imaging ; Popliteal Artery Entrapment Syndrome ; Peripheral Arterial Disease ; Hemodynamics ; Ultrasonography
    Language English
    Publishing date 2024-03-07
    Publishing country Denmark
    Document type Journal Article
    ZDB-ID 1077418-x
    ISSN 1600-0838 ; 0905-7188
    ISSN (online) 1600-0838
    ISSN 0905-7188
    DOI 10.1111/sms.14592
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Accelerated Measurement of Carotid Plaque Volume Using Artificial Intelligence Enhanced 3D Ultrasound.

    Phair, Alison Shirley / Carreira, Joao / Bowling, Frank Lee / Ghosh, Jonathan / Smith, Craig / Rogers, Steven Kristofor

    Annals of vascular surgery

    2023  Volume 98, Page(s) 317–324

    Abstract: Background: Carotid plaque volume (CPV) can be measured by 3D ultrasound and may be a better predictor of stroke than stenosis, but analysis time limits clinical utility. This study tested the accuracy, reproducibility, and time saved of using an ... ...

    Abstract Background: Carotid plaque volume (CPV) can be measured by 3D ultrasound and may be a better predictor of stroke than stenosis, but analysis time limits clinical utility. This study tested the accuracy, reproducibility, and time saved of using an artificial intelligence (AI) derived semiautomatic software to measure CPV ("auto-CPV").
    Methods: Three-dimensional (3D) ultrasound images for 121 individuals were analyzed by 2 blinded operators to measure auto-CPV. Corresponding endarterectomy specimen volumes were calculated by the validated saline suspension technique. Inter-rater and intrarater agreement plus accuracy compared with the volume of the endarterectomized plaque were calculated. Measurement times were compared with previous manual CPV measurement.
    Results: The mean difference between auto-CPV and surgical volume was small at (±s.d.) [95% confidence interval [CI]] 0.06 (0.24) [-0.41 to 0.54] cm
    Conclusions: Auto-CPV assessment is accurate, reproducible, and significantly faster than manual planimetry. Improved feasibility means that the utility of CPV can be assessed in large population studies to stratify risk in asymptomatic carotid disease or assess response to medical treatment.
    MeSH term(s) Humans ; Artificial Intelligence ; Reproducibility of Results ; Treatment Outcome ; Carotid Arteries/diagnostic imaging ; Carotid Arteries/surgery ; Ultrasonography ; Plaque, Atherosclerotic ; Imaging, Three-Dimensional ; Observer Variation
    Language English
    Publishing date 2023-06-22
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1027366-9
    ISSN 1615-5947 ; 0890-5096
    ISSN (online) 1615-5947
    ISSN 0890-5096
    DOI 10.1016/j.avsg.2023.06.018
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: The Importance of Patient Position When Defining Normal Versus Pathological Functionality in the Diagnosis of Popliteal Artery Entrapment Syndrome with Duplex Ultrasound.

    Barrett, David W / Carreira, Joao / Bowling, Frank L / Wolowczyk, Leszek / Rogers, Steven K

    European journal of vascular and endovascular surgery : the official journal of the European Society for Vascular Surgery

    2023  Volume 65, Issue 5, Page(s) 760–761

    MeSH term(s) Humans ; Popliteal Artery Entrapment Syndrome ; Ultrasonography, Doppler, Duplex ; Popliteal Artery/diagnostic imaging ; Popliteal Artery/surgery ; Popliteal Artery/pathology ; Arterial Occlusive Diseases/diagnostic imaging ; Arterial Occlusive Diseases/surgery
    Language English
    Publishing date 2023-02-23
    Publishing country England
    Document type Letter
    ZDB-ID 1225869-6
    ISSN 1532-2165 ; 1078-5884
    ISSN (online) 1532-2165
    ISSN 1078-5884
    DOI 10.1016/j.ejvs.2023.02.022
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Book ; Online ; Thesis: Bottom-up object segmentation for visual recognition

    Carreira, João

    2013  

    Author's details vorgelegt von João Luís da Silva Carreira
    Language English
    Size Online-Ressource
    Document type Book ; Online ; Thesis
    Thesis / German Habilitation thesis Univ., Diss.--Bonn, 2012
    Database Former special subject collection: coastal and deep sea fishing

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  5. Book ; Online: Perception Test 2023

    Heyward, Joseph / Carreira, João / Damen, Dima / Zisserman, Andrew / Pătrăucean, Viorica

    A Summary of the First Challenge And Outcome

    2023  

    Abstract: The First Perception Test challenge was held as a half-day workshop alongside the IEEE/CVF International Conference on Computer Vision (ICCV) 2023, with the goal of benchmarking state-of-the-art video models on the recently proposed Perception Test ... ...

    Abstract The First Perception Test challenge was held as a half-day workshop alongside the IEEE/CVF International Conference on Computer Vision (ICCV) 2023, with the goal of benchmarking state-of-the-art video models on the recently proposed Perception Test benchmark. The challenge had six tracks covering low-level and high-level tasks, with both a language and non-language interface, across video, audio, and text modalities, and covering: object tracking, point tracking, temporal action localisation, temporal sound localisation, multiple-choice video question-answering, and grounded video question-answering. We summarise in this report the task descriptions, metrics, baselines, and results.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Publishing date 2023-12-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Aneurysm Geometry Analyzed by the Novel Three-Dimensional Tomographic Ultrasound Relates to Abdominal Aortic Aneurysm Growth.

    Khan, Maria / Rogers, Steven / Carreira, Joao / Ghosh, Jonathan / McCollum, Charles

    Annals of vascular surgery

    2022  Volume 87, Page(s) 469–477

    Abstract: Background: Abdominal aortic aneurysms (AAAs) are increasingly screen-detected and many small aneurysms enter surveillance. Computed tomography identifies characteristics that can predict subsequent AAA growth but ionizing radiation and nephrotoxic ... ...

    Abstract Background: Abdominal aortic aneurysms (AAAs) are increasingly screen-detected and many small aneurysms enter surveillance. Computed tomography identifies characteristics that can predict subsequent AAA growth but ionizing radiation and nephrotoxic contrast disadvantage its use in surveillance. We investigated whether duplex and 3-dimensional tomographic ultrasound identified features associated with AAA growth in patients on AAA surveillance.
    Methods: Duplex and three-dimensional tomographic ultrasound imaging was performed independently by 2 vascular scientists in 128 AAA surveillance patients who all had AAA growth measured over at least 2 years. Diameter, cross-sectional area, length, volume, wall thickness/volume, and intraluminal thrombus were measured. Pulsatility using maximum systolic and minimum diastolic diameters corrected for diameter and distensibility (consisting of strain and stiffness) were also calculated.
    Results: AAA growth rate correlated with AAA diameter (r 0.43), volume (r 0.46), and cross-sectional area (r 0.42) (P < 0.01). Measuring wall thickness was inaccurate, but wall volume (corrected for AAA volume) inversely related to growth rate (r -0.43, P < 0.01). On a multivariate analysis, diameter and wall volume (r
    Conclusions: AAA growth most strongly related to AAA volume and inversely to wall volume. AAA volume and wall volume may prove useful in the prediction of AAA growth rates.
    Language English
    Publishing date 2022-06-03
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1027366-9
    ISSN 1615-5947 ; 0890-5096
    ISSN (online) 1615-5947
    ISSN 0890-5096
    DOI 10.1016/j.avsg.2022.05.017
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Evaluating Potential Autologous Bypass Grafts with Tomographic Three-Dimensional Ultrasound Compared with Standard Color Duplex.

    Rogers, Steven / Carreira, Joao / Phairv, Alison / Ghosh, Jonathan / Bowling, Frank / McCollum, Charles

    Annals of vascular surgery

    2022  Volume 85, Page(s) 167–174

    Abstract: Background: Vein mapping using duplex ultrasound (DUS) is a routine in selecting optimal autologous bypass grafts (aBG) but is time consuming and operator-dependent. Tomographic three-dimensional (3D) ultrasound (tUS), using free-hand electromagnetic ... ...

    Abstract Background: Vein mapping using duplex ultrasound (DUS) is a routine in selecting optimal autologous bypass grafts (aBG) but is time consuming and operator-dependent. Tomographic three-dimensional (3D) ultrasound (tUS), using free-hand electromagnetic tracking, allows cardiac and vascular surgeons to view 3D images of the entire length of the potential bypass graft. This study compares tUS with DUS in the evaluation of potential autologous grafts for coronary and lower limb bypass.
    Methods: Both DUS and tUS imaging of 434 potential autologous grafts (364 long, 22 short saphenous veins, and 48 radial artery) immediately before bypass surgery were compared. The time in minutes to evaluate each aBG was recorded. Surgeons scored the quality of the aBG at operation. A score of 5 was in complete agreement with preoperative imaging with scores of 4 considered "good".
    Results: Most operating surgeons (113, 57%) preferred interpreting the tUS images and felt that this technology could replace DUS completely. The choice of aBG would have been changed as a result of tUS images in 64 (32%) cases. DUS imaging took a mean (+/-sd) of 08:26 ± 04:44 minutes compared with only 01:00 ± 00:25 minutes for tUS (P < 0.001). However, processing the tUS images, which is currently done manually by the vascular scientist, took significantly longer at 19:31 ± 12:41 minutes compared with 09:03 ± 09:12 minutes for reporting DUS (P < 0.001).
    Conclusions: Surgeons preferred to see tUS images of the potential aBG themselves rather than relying on DUS reports. tUS images were significantly quicker than DUS to acquire but needed more processing time.
    MeSH term(s) Graft Occlusion, Vascular ; Humans ; Lower Extremity/blood supply ; Saphenous Vein/surgery ; Saphenous Vein/transplantation ; Treatment Outcome ; Ultrasonography, Doppler, Duplex ; Vascular Patency ; Vascular Surgical Procedures
    Language English
    Publishing date 2022-04-05
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 1027366-9
    ISSN 1615-5947 ; 0890-5096
    ISSN (online) 1615-5947
    ISSN 0890-5096
    DOI 10.1016/j.avsg.2022.03.026
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Thesis: Bottom-up object segmentation for visual recognition

    Carreira, João

    2013  

    Author's details vorgelegt von João Luís da Silva Carreira
    Language English
    Size VI, 96 S., Ill., graph. Darst.
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Univ., Diss.--Bonn, 2012
    Database Library catalogue of the German National Library of Science and Technology (TIB), Hannover

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  9. Book ; Online: Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

    Venkataramanan, Shashanka / Rizve, Mamshad Nayeem / Carreira, João / Asano, Yuki M. / Avrithis, Yannis

    2023  

    Abstract: Self-supervised learning has unlocked the potential of scaling up pretraining to billions of images, since annotation is unnecessary. But are we making the best use of data? How more economical can we be? In this work, we attempt to answer this question ... ...

    Abstract Self-supervised learning has unlocked the potential of scaling up pretraining to billions of images, since annotation is unnecessary. But are we making the best use of data? How more economical can we be? In this work, we attempt to answer this question by making two contributions. First, we investigate first-person videos and introduce a "Walking Tours" dataset. These videos are high-resolution, hours-long, captured in a single uninterrupted take, depicting a large number of objects and actions with natural scene transitions. They are unlabeled and uncurated, thus realistic for self-supervision and comparable with human learning. Second, we introduce a novel self-supervised image pretraining method tailored for learning from continuous videos. Existing methods typically adapt image-based pretraining approaches to incorporate more frames. Instead, we advocate a "tracking to learn to recognize" approach. Our method called DoRA, leads to attention maps that Discover and tRAck objects over time in an end-to-end manner, using transformer cross-attention. We derive multiple views from the tracks and use them in a classical self-supervised distillation loss. Using our novel approach, a single Walking Tours video remarkably becomes a strong competitor to ImageNet for several image and video downstream tasks.
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004 ; 006
    Publishing date 2023-10-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: BootsTAP

    Doersch, Carl / Yang, Yi / Gokay, Dilara / Luc, Pauline / Koppula, Skanda / Gupta, Ankush / Heyward, Joseph / Goroshin, Ross / Carreira, João / Zisserman, Andrew

    Bootstrapped Training for Tracking-Any-Point

    2024  

    Abstract: To endow models with greater understanding of physics and motion, it is useful to enable them to perceive how solid surfaces move and deform in real scenes. This can be formalized as Tracking-Any-Point (TAP), which requires the algorithm to be able to ... ...

    Abstract To endow models with greater understanding of physics and motion, it is useful to enable them to perceive how solid surfaces move and deform in real scenes. This can be formalized as Tracking-Any-Point (TAP), which requires the algorithm to be able to track any point corresponding to a solid surface in a video, potentially densely in space and time. Large-scale ground-truth training data for TAP is only available in simulation, which currently has limited variety of objects and motion. In this work, we demonstrate how large-scale, unlabeled, uncurated real-world data can improve a TAP model with minimal architectural changes, using a self-supervised student-teacher setup. We demonstrate state-of-the-art performance on the TAP-Vid benchmark surpassing previous results by a wide margin: for example, TAP-Vid-DAVIS performance improves from 61.3% to 66.4%, and TAP-Vid-Kinetics from 57.2% to 61.5%.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Statistics - Machine Learning
    Subject code 006
    Publishing date 2024-02-01
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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