MRF
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Contents:
Introduction to the MRF project
MRF
How to run the code ?
Saving a settings file
Visualize the results
How to extend the model ?
MRF
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Index
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Index
A
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B
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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O
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P
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R
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S
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T
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U
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V
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W
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Y
A
ADAM (MRF.Training_parameters.Optimizer attribute)
add_noise() (MRF.BaseData_class.BaseData_class method)
add_noise_batch() (MRF.BaseData_class.BaseData_class method)
AFTERPROJ (MRF.Training_parameters.Normalization attribute)
assert_joint_learning() (MRF.BaseModel.BaseModel method)
assert_projection_defined() (MRF.BaseModel.BaseModel method)
B
base_loss_function() (MRF.BaseNetwork.BaseNetwork method)
BaseData_class (class in MRF.BaseData_class)
BaseModel (class in MRF.BaseModel)
BaseNetwork (class in MRF.BaseNetwork)
BELOW (MRF.Training_parameters.T2wrtT1 attribute)
BELOWPERCENT (MRF.Training_parameters.T2wrtT1 attribute)
C
compute_absolute_errors() (MRF.BaseNetwork.BaseNetwork method)
compute_absolute_errors_over_CRBs() (MRF.BaseNetwork.BaseNetwork method)
compute_CRBs() (MRF.BaseData_class.BaseData_class method)
compute_relative_errors() (MRF.BaseNetwork.BaseNetwork method)
(MRF.Offline.Performances.Performances method)
(MRF.Online.Performances.Performances method)
CRBrequired (MRF.Training_parameters.Loss attribute)
D
Data_class (class in MRF.Offline.Data_class)
(class in MRF.Online.Data_class)
decimale() (in module MRF.simulate_signal.simulation)
(in module MRF.simulate_signal.simulation_with_grads)
dico_save() (MRF.BaseData_class.BaseData_class method)
(MRF.BaseNetwork.BaseNetwork method)
(MRF.Offline.Network.Network method)
(MRF.Offline.Performances.Performances method)
(MRF.Online.Data_class.Data_class method)
(MRF.Online.Network.Network method)
(MRF.Online.Performances.Performances method)
(MRF.Projection.Projection method)
(MRF.Training_parameters.Training_parameters method)
E
Enumerate (class in MRF.Training_parameters)
eval_net() (MRF.BaseNetwork.BaseNetwork method)
F
FIXLAYER (MRF.Training_parameters.Initialization attribute)
forward() (MRF.BaseModel.BaseModel method)
(MRF.models.deep.model method)
(MRF.models.deep2.model method)
(MRF.models.deep3.model method)
(MRF.models.deep4.model method)
(MRF.models.full_joint_deep3.model method)
(MRF.models.fulljoint.model method)
(MRF.models.fulljoint_deep.model method)
(MRF.models.hybrid3_bn.model method)
(MRF.models.hybrid6_bn.model method)
(MRF.models.hybrid_bn.model method)
(MRF.models.joint.model method)
(MRF.models.joint_deep.model method)
(MRF.models.joint_deep2.model method)
(MRF.models.joint_deep3.model method)
(MRF.models.joint_deep4.model method)
(MRF.models.joint_deep5.model method)
(MRF.models.joint_deep6.model method)
(MRF.models.ligo.model method)
(MRF.models.ligo2.model method)
(MRF.models.ligo3.model method)
(MRF.models.ligo4.model method)
(MRF.models.ligo_without_proj.model method)
(MRF.models.modelT2.model method)
(MRF.models.modelT2_bn.model method)
(MRF.models.multi_deep.model method)
(MRF.models.multilinear.model method)
(MRF.models.multilinear_bn.model method)
(MRF.models.multilinear_bn2.model method)
(MRF.models.nin.model method)
G
GAUSSIAN (MRF.Training_parameters.Sampling attribute)
H
hann_interpolation() (in module MRF.simulate_signal.simulation)
hann_interpolation_with_grads() (in module MRF.simulate_signal.simulation_with_grads)
I
init_validation() (MRF.Offline.Performances.Performances method)
(MRF.Online.Performances.Performances method)
Initialization (class in MRF.Training_parameters)
initialization_first_layer() (MRF.Projection.Projection method)
L
list (MRF.Training_parameters.Enumerate attribute)
load_CRBs() (MRF.Offline.Data_class.Data_class method)
load_data() (MRF.Offline.Data_class.Data_class method)
load_data_6params() (in module MRF.BaseData_class)
(in module MRF.simulate_signal.simulation)
(in module MRF.simulate_signal.simulation_with_grads)
load_data_from_web() (MRF.Offline.Data_class.Data_class method)
load_urls() (MRF.Offline.Data_class.Data_class method)
local_study() (MRF.BaseNetwork.BaseNetwork method)
LOG (MRF.Training_parameters.Sampling attribute)
loguniform() (in module MRF.BaseData_class)
Loss (class in MRF.Training_parameters)
loss_function() (MRF.BaseNetwork.BaseNetwork method)
(MRF.Offline.Performances.Performances method)
(MRF.Online.Performances.Performances method)
M
model (class in MRF.models.deep)
(class in MRF.models.deep2)
(class in MRF.models.deep3)
(class in MRF.models.deep4)
(class in MRF.models.full_joint_deep3)
(class in MRF.models.fulljoint)
(class in MRF.models.fulljoint_deep)
(class in MRF.models.hybrid3_bn)
(class in MRF.models.hybrid6_bn)
(class in MRF.models.hybrid_bn)
(class in MRF.models.joint)
(class in MRF.models.joint_deep)
(class in MRF.models.joint_deep2)
(class in MRF.models.joint_deep3)
(class in MRF.models.joint_deep4)
(class in MRF.models.joint_deep5)
(class in MRF.models.joint_deep6)
(class in MRF.models.ligo)
(class in MRF.models.ligo2)
(class in MRF.models.ligo3)
(class in MRF.models.ligo4)
(class in MRF.models.ligo_without_proj)
(class in MRF.models.modelT2)
(class in MRF.models.modelT2_bn)
(class in MRF.models.multi_deep)
(class in MRF.models.multilinear)
(class in MRF.models.multilinear_bn)
(class in MRF.models.multilinear_bn2)
(class in MRF.models.nin)
MRF.BaseData_class (module)
MRF.BaseModel (module)
MRF.BaseNetwork (module)
MRF.models.deep (module)
MRF.models.deep2 (module)
MRF.models.deep3 (module)
MRF.models.deep4 (module)
MRF.models.full_joint_deep3 (module)
MRF.models.fulljoint (module)
MRF.models.fulljoint_deep (module)
MRF.models.hybrid3_bn (module)
MRF.models.hybrid6_bn (module)
MRF.models.hybrid_bn (module)
MRF.models.joint (module)
MRF.models.joint_deep (module)
MRF.models.joint_deep2 (module)
MRF.models.joint_deep3 (module)
MRF.models.joint_deep4 (module)
MRF.models.joint_deep5 (module)
MRF.models.joint_deep6 (module)
MRF.models.ligo (module)
MRF.models.ligo2 (module)
MRF.models.ligo3 (module)
MRF.models.ligo4 (module)
MRF.models.ligo_without_proj (module)
MRF.models.modelT2 (module)
MRF.models.modelT2_bn (module)
MRF.models.multi_deep (module)
MRF.models.multilinear (module)
MRF.models.multilinear_bn (module)
MRF.models.multilinear_bn2 (module)
MRF.models.nin (module)
MRF.Offline.Data_class (module)
MRF.Offline.Network (module)
MRF.Offline.Performances (module)
MRF.Online.Data_class (module)
MRF.Online.Network (module)
MRF.Online.Performances (module)
MRF.Projection (module)
MRF.simulate_signal.simulation (module)
MRF.simulate_signal.simulation_with_grads (module)
MRF.Training_parameters (module)
MSE (MRF.Training_parameters.Loss attribute)
MSECRB (MRF.Training_parameters.Loss attribute)
MSEInv (MRF.Training_parameters.Loss attribute)
MSELOG (MRF.Training_parameters.Loss attribute)
MSEScaling (MRF.Training_parameters.Loss attribute)
N
Network (class in MRF.Offline.Network)
(class in MRF.Online.Network)
nlls() (MRF.BaseData_class.BaseData_class method)
NOCONSTRAINT (MRF.Training_parameters.T2wrtT1 attribute)
NoiseType (class in MRF.Training_parameters)
NOISYINPUT (MRF.Training_parameters.Normalization attribute)
Normalization (class in MRF.Training_parameters)
normalization_post_projection() (MRF.BaseModel.BaseModel method)
O
Optimizer (class in MRF.Training_parameters)
P
PCA (MRF.Training_parameters.Initialization attribute)
Performances (class in MRF.Offline.Performances)
(class in MRF.Online.Performances)
project() (MRF.Projection.Projection method)
Projection (class in MRF.Projection)
proton_density_scaling() (MRF.BaseData_class.BaseData_class method)
R
radial_MT_ODE_no_m0f() (in module MRF.simulate_signal.simulation)
radial_MT_ODE_no_m0f_with_grads() (in module MRF.simulate_signal.simulation_with_grads)
RANDOM (MRF.Training_parameters.Initialization attribute)
rescale() (in module MRF.Online.Network)
S
sample() (MRF.BaseData_class.BaseData_class method)
(MRF.Offline.Data_class.Data_class method)
(MRF.Online.Data_class.Data_class method)
Sampling (class in MRF.Training_parameters)
scaling() (in module MRF.Online.Network)
SGD (MRF.Training_parameters.Optimizer attribute)
simulate_MT_ODE() (in module MRF.simulate_signal.simulation)
simulate_MT_ODE_with_grads() (in module MRF.simulate_signal.simulation_with_grads)
SNR (MRF.Training_parameters.NoiseType attribute)
STANDARD (MRF.Training_parameters.NoiseType attribute)
study_estimator() (MRF.BaseNetwork.BaseNetwork method)
T
T2wrtT1 (class in MRF.Training_parameters)
train() (MRF.Offline.Network.Network method)
(MRF.Online.Network.Network method)
Training_parameters (class in MRF.Training_parameters)
transform() (MRF.BaseNetwork.BaseNetwork method)
transform_inv() (MRF.BaseNetwork.BaseNetwork method)
U
Uniform (MRF.Training_parameters.Sampling attribute)
V
validation_step() (MRF.Offline.Performances.Performances method)
(MRF.Online.Performances.Performances method)
W
WHITHOUT (MRF.Training_parameters.Normalization attribute)
Y
YOUNIFORM (MRF.Training_parameters.Sampling attribute)